national assessment of learning achievement in...
TRANSCRIPT
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National Assessment of Learning
Achievement in Basic Education
in Nigeria
JUNIOR SECONDARY THREE
NALABE 2017
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Published by
Universal Basic Education Commission (UBEC)
UBEC Building, 7, Gwani Street, Wuse Zone 4,
P.M.B. 5089, Post Code 900284, Abuja, Nigeria.
E-mail: [email protected]
Website: www.ubec.gov.ng
www.ubeconline.com
© Universal Basic Education Commission
ISBN: 978-978-50391-2-2
All Rights Reserved
Except for the purposes of research, review or critique, no part of this publication may be reproduced, stored in
a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording
or otherwise, without the express permission of Universal Basic Education Commission (UBEC).
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Preface
In September 1999, the Federal Government of Nigeria (FGN) launched Universal Basic
Education Programme (UBEP) to support state and local governments in the provision of
quality basic education in the country. This was followed by an Act establishing Universal
Basic Education Commission in 2004. The goal was to ensure access, equity and quality in
the provision of basic education. This was in line with the World declaration on “Education for All” in Jomtien 1990 and Dakar 2000, the Millennium Development Goals (MDGs) now
Sustainable Development Goals (SDGs). The declarations focused on the provision of free
and compulsory education to all children.
In 2001, under the UBE Programme, the first edition of National Assessment on Learning
Achievement in Basic Education was conducted on primary four learners, teachers, parents
and Head-teachers. The findings from the study were used in furthering support to state and
local governments, particularly in the areas of teacher development, instructional materials
and infrastructure.
In 2003, the second edition of the study was carried out using Primary classes 4, 5, 6 and
Junior secondary classes 1 and 2. The study was a follow-up to the first one. However, the
scope of the second edition was increased to include primary 5, 6 and JSS 1 and 2. Findings
from this study were used in reviewing the entire strategy for support to state and local
governments in areas of inputs and processes. Arising from the result of the two studies, the
World Bank Supported Primary Education Project (PEP II) conducted an Action Research on
improving teaching and learning that provided recommendations for improving
teacher/learner achievement.
In 2006, the third edition of the study on National Assessment was conducted as a follow-up
to the earlier ones. This edition examined learners‟ achievement in primary 6 and junior secondary classes 1 and 2, so as to gauge the progress made in basic education delivery. The
result was used to make some changes in the strategies for teacher development and provision
of instructional materials to schools.
The fourth edition of the Assessment was conducted in 2011. It took five years to be
conducted as against the traditional triennial period. The study focused on primary classes 4,
5 and 6 and junior secondary 1. Thus far, it is the only study available for use by the
stakeholders interested in basic education in the country. The acronym, NAUBEP was also
changed to National Assessment of Learning Achievement in Basic Education (NALABE),
because of the new status the programme assumed following the promulgation of Universal
Basic Education Act 2004.
The Commission began preparation for the fifth-edition in the series in 2014. The preparation
had series of activities, which involved generation of test items using curriculum experts,
specialists in Educational Measurement and Evaluation, and classroom teachers who taught
the core subjects at primary and junior secondary levels, trial-testing, and final selection of
the test items for test administration. The test administration was eventually conducted in
November 2017 while data entry and analysis were effected in March 2018 and the report
finalised in May, 2018.
The National Assessment of Learning Achievement in Basic Education provides empirical
evidence on learning outcomes and their contexts. It is essential for determining strengths and
weaknesses of the subsystems as it offers useful recommendations for review of the existing
strategies for improvement and innovation.
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I wish to acknowledge the roles played by groups and individuals towards the realisation of
this study. Amongst them are members of the Technical Working Committee comprising of
Dr Sharon Oriero-Oviemuno (Deputy Executive Secretary-Technical), Alh. Dauda Alhasan
(Former Ag. Director, Special Programme), Dr T. T. Onosode (Ag. Director, Planning,
Research and Statistics), Mal. Wadatau Madawaki (Ag. Director, Academic Services); the
subject specialists: Ada Veronica Ogwuche, Aleshin Mayowa, Deborah Dajep, Aliyu Shaba
Imam, Ziporah Panguro, Vincent Egwuzoro and Nneka Okafor; the Report Writing Team;
Prof. Gidado Tahir (Chairman), Prof. C. O. Onocha (Vice Chairman), Prof. Tony Afemikhe,
Prof O. Oyedeji, Prof Abubakar Hamman-Tukur, Prof Ismaila Tsiga, Prof. Gbenga Adewale,
Dr I. E. Anyanwu, Dr C. C. Agomoh and Dr Ishaku Usman Gadzama; the Technical support
Team: Mal. Jibo Abdullahi (Former Director, Quality Assurance), Mr Sylvester Enyinnaya
(Ag. Director, Quality Assurance), Arit Akpan (Head, Assessment Unit), Julius Adedoja
(Desk officer) and Abdulrasheed Ayangbayi; and finally the Secretariat staff Tina
Emuekpere, Patrick Agu, John Umoru and Yohana Wobin.
It is my strong belief that this report will provide our key stakeholders: State and Local
Governments, Civil Society Organisations, Community Based Organisations the Academia,
International Development Partners, the Private sector, philanthropists and individuals the
opportunity to appreciate the progress or otherwise being made in the achievement of the
objectives of basic education in Nigeria. Finally, I wish to urge all the stakeholders to be
more dedicated towards the improvement of basic education delivery in the country through
action research, technology-driven process and innovations that will uplift the programme to
higher level. Education for all is the responsibility of all.
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Executive Summary
One of the major concerns in the provision of Basic Education in Nigeria has been quality
and Universal Basic Education (UBE) in Nigeria was established through an all-inclusive
right-based policy reform. The focus of UBE is to meet the Education For All (EFA),
Millennium Development Goals and the more contemporaneous Sustainable Development
Goals and targets. There has been an appreciable increase in government investment in Basic
Education lately with a corresponding increase in the same by the donor community.
However, this has not translated into any remarkable improvement in quality learning
outcomes in the nation‟s Basic Education sub-sector, this explains why NALABE was carried
out. This is the 4th
study and the objectives were to: assess level of achievement of learners in
primary 6 in the four core subjects of English Studies, Mathematics, Basic Science and
Technology and Social Studies; synthesise basic information on primary and junior
secondary schools in Nigeria, and use same to explain learners‟ achievement, access to schools as well as school-community relationships; and assess contextual variables that might
be used as explanatory variables for the levels of competency acquired in the various skill
areas.
The samplings were done in four stages: six Local Government Education Authorities
(LGEAs) were randomly selected from each of the 35 States while three each were randomly
selected from Bayelsa and FCT. Secondly, five primary schools were randomly sampled in
each of the 35 States and three from FCT and Bayelsa. At the third stage, a class was
randomly selected from the number of streams in the primary six. At the fourth stage, random
sampling was undertaken to select 20 learners where there were more than 20 learners in the
selected classes. In all, 216 LGEAs, 1,080 primary schools, 21,600 primary 6 learners, 3,240
primary 6 teachers and 12,960 parents of primary 6 learners were used. The following were
done in the test development: a review and update of the frameworks of curriculum content
domains for the subjects: English studies, Social Studies, Basic Science and Technology and
Mathematics; developing items and scoring guides in accordance with the specifications of
content and cognitive domains in the frameworks; conducting trials of the items on
equivalent samples and conducting item analysis; and selection of items. The test items were
administered on equivalent samples of the respective populations in five schools and in four
states. In all, 1,199 Multiple Choice Test responses and 50 constructed response scripts were
obtained. The development of four context questionnaires for pupils/learners, teachers, head-
teachers /principals and parents was similar to the Tests. Previous National Assessments
conducted by the Commission were anchored on Classical Test Theory (CTT) but Item
Response Theory (IRT) was used in analysing 2017 NALABE. The results are presented in
the next paragraphs.
Learners' Home and Support The first training ground for a child is the home. For a child to adjust very well in school
depends largely on the type of support the child receives from the home. The home and
neighbourhoods are complex social environments which intricately interact and impact
positively or otherwise on the growth, development and school achievement of learners.
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Therefore, home plays a vital role in the overall achievement of a child. This sub-section
illustrates the type of support learners receive from the home.
Majority (88.0 percent) of the learners lived with their parents; 73.5 percent of learners ate
breakfast at home while the rest had other means of taking theirs. Learners ate between 1-4
times per day. Ownership of textbooks facilitated independent home study and work on
learning tasks and assignments and directly impacted on academic performance, however,
about 50.0 percent of the learners owned English Studies and Mathematics textbooks. Only
8.70 percent of the learners spent up to three hours or more on homework per week. Learners
obtained assistance in accomplishing homework from several sources within and outside the
home. Other forms of home support included response to teachers‟ invitation for discussion or call by many parents, provision of learning resources, commuting the learners to school,
etc. A majority of them were positive that their parents liked them.
Teachers in Schools
Apart from homes, teachers are significant component of the learners‟ education. The Nigerian National Policy on Education appreciates the fact that no education system rises
above the quality of its teachers. It is therefore imperative that any national study on
assessment should understand the teacher within the context of the school. Therefore, this
subsection presents the teachers (including the head-teacher) in the school.
The head teacher, a primus inter pares occupies a unique position and plays an important
role in a school. About 83.4 percent of the teachers have 0-20 years teaching experience; 87.0
percent of the head-teachers and 78.2 percent of the teachers were married, 50.1 percent of
the head-teachers and 28.6 percent of teachers had degrees with teaching qualification.
Generally,84.0 percent of the head-teachers attended in-service training/workshops in the past
five years. These included conferences/seminars/workshops and cluster training (53.20
percent). The class attendance register was marked twice daily by 93.80 percent of the
teachers. Many of the teachers (57.40 percent) taught all subjects. Teachers prepared their
lesson notes and its frequency varied. Learners received between 1-30 lessons per week. The
average duration of lessons was between 21 and 40 minutes. The number of weeks spent on
teaching in a year was between 21 and 40 weeks. About a half of the teachers (49.30 percent)
gave learners homework/assignment in English Studies, Mathematics and Science daily.
Teachers (44.30 percent) spent between 1-10 hours per week correcting learners‟ homework, 7.30 percent spent more than 10 hours. The instructional materials used often by 80.30
percent of the teachers were published textbooks while 15.10 percent often used audio-visual
materials. Teachers applied different teaching methods in their work and used a variety of
techniques in assigning marks to the learners.
Teachers had average morale, high morale and low morale, respectively reason being self-
motivation. Generally, About 98.00 percent of the teachers liked teaching, 13.10 percent of
the head-teachers liked their role in modeling the future generation/building the nation and
10.50 percent enjoyed the daily knowledge/skills acquisition. The head-teachers did not like
their poor salary/delay in salary, poor working environment, lack of societal recognition,
attitude of some of the parents to the learners‟ discipline and lateness. About 98.00 percent of
the teachers liked teaching. The head-teachers liked the UBE Programme provision of
infrastructural facilities, provision of learning/instructional materials/educational support and
others but disliked non-provision of instructional materials/teaching aids for private schools
and no financial support for private schools.
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The School and the Community
The school does not exist in isolation, it is a sub-set of the community, therefore, the school
exerts some level of influence on the community and the community also plays a significant
role in making school achieve its objectives. This sub-section describes the school and the
community. The distance of home from school is important in the choice of schools for
learners. Since boarding facilities were not available in most primary schools, learners
commuted from home to school via various means like walking, use of bicycle, taxi/bus,
family car and motorcycle/tricycle. The average distance of the schools away from the homes
of a majority of the learners was < 1 kilometer (55.50 percent). About 70.00 percent of the
schools had well-demarcated compounds, secured from encroachment and large enough for
buildings, playgrounds and gardens. Apart from the compound in terms of its size, 47.20
percent of the school compounds were free from erosion problems, 36.10 percent bore
evidence of erosion problems and 9.90 percent of the school compounds had serious erosion
problems. Teaching and learning processes are facilitated by a learner-friendly environment.
The components of a learner-friendly environment considered were the availability of water,
toilets, recreational facilities, disposal facilities, etc. The main source of water supply in the
850 sampled schools was the borehole (31.60 percent). However, there was no established
source of water in 31.10 percent of the schools. Toilets were available in 60.80 percent of the
schools. Components of school security were fencing and types of fencing and engagement of
security personnel.
The community had many roles and responsibilities in supporting the school. These included
rendering assistance to their schools in various other ways like security (24.70 percent), land
(23.40 percent), money (12.40 percent), auxiliary teachers (10.40 percent), buildings (9.80
percent), and equipment (6.90 percent). The attitude of communities towards their schools
was positive in teaching and learning, school activities, solving problems relating to the
learners and their conduct, etc. One major avenue through which the communities rendered
assistance to their schools is the Parent-Teachers‟ Association (PTA), through the association, such school infrastructure and facilities like the library, classrooms, teachers‟ and learners‟ furniture, ICT services, football field, school garden/farm, weather station,
auditorium/hall and administrative block and were partly provided and maintained.
Attitude of Learners English Studies and Mathematics relatively were the subjects most liked by the learners.
Basic Science and Technology and Social Studies were the two subjects least liked by the
learners. About 90.70 percent of the learners liked their teachers. Some learners liked
schooling for some reasons.
Learners’ Achievement: English Studies Learners‟ achievements in four subjects (English Studies; Mathematics; Basic Science and Technology; and Social Studies) were used. The national, zonal and state achievement scores
showed there were no significant differences in performance between the levels of each
variable (gender, location and type of school) for both Tests in all the four subjects, although,
there were variations from states to states. For English Studies, learners were good in the
Multiple Choice Test whereas, they are fair in the Essay test. State performance on content
and cognitive domains shows that scores were higher in reading (59.59) than in grammar
(53.66). Learners performed higher in Comprehension (63.43) than in Knowledge (56.65)
and Higher Order (53.41). The performance in the multiple-choice Test was higher than that
of the essay in urban locations in North-Central, South-East, South-West and South-South.
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The relational analysis shows that the performance at low level of engagement in non-
learning activities was higher than that at moderate level which, in turn, was higher than high
level of engagement. Learners, whose parents did farming/fishing had performed higher than
other occupations. Learners whose parents were workers (private/public) performed best in
17 states. The performance of learners was in increasing order for mothers who were into
working (Public/Private) (57.70), farming/fishing (57.50), business/trading (57.00) and
„others‟ (55.40). The best performance at the national level was exhibited by learners who
went to school by family car and with taxi/bus and okada/bicycle/tricycle.
Learners’ Achievement: Mathematics
In Mathematics, the learners were good in the Multiple Choice Test whereas, they are fair in
the Essay Test. Learners‟ performance in Mathematics by the content domains, the national
mean scores were highest in Numbers and numeration (64.40), Algebraic process (59.11),
Basic operations (51.04) and least in Everyday Mathematics (34.48). By cognitive domains,
the national mean scores were Comprehension (60.47), Knowledge (59.54) and Higher Order
(54.31).
The relational analysis shows that the national mean scores on assistance with homework
were moderate level (59.70), low level (59.60) and high level (58.30); on the availability of
facilities, were low level (58.40), moderate level (59.50) and high level (60.50). On moderate
engagement in non-learning activities were high (60.00), low level (59.50) and high level
(58.10). Learners whose fathers were into business/trading had the best performance (60.90),
followed by „others‟ (60.50), farming/fishing (59.00), and workers (public/private) (59.00).
Learners whose mothers did farming/fishing scored 59.60, followed by business/trading
(58.80), etc. Learners who travelled > 3 kilometers had a high mean performance, 1 to 2
kilometers had least performance while the best-performing learners travelled between 2-3
kilometers to school daily. Learners with textbooks (60.50) scored higher than those without
textbooks (57.70).
Learners’ Achievement: Basic Science and Technology In Basic Science and Technology, the learners were fair in both Multiple Choice and Essay
Tests. By content domains, the learners‟ scores were: You and Environment (54.42); Science
and Development (51.34 percent); Living and Non-Living Things (40.86 percent); and You
and Energy (42.45). Learners‟ scores in the cognitive domains were Higher order (54.62 percent), Knowledge (51.48 percent) and Comprehension (42.20). Learners‟ performances were decomposed by (gender, location and type of school) for both Tests.
The relational analysis shows that the national mean for the three levels of assistance, low
level of assistance (48.00), moderate level of assistance (47.70) and high level of assistance
(47.3), tend to give a pattern that increase in level of assistance resulted in decreased
performance. On the availability of facilities, were (48.00), moderate level (47.70) and high
level (47.3). On moderate engagement in non-learning activities means for the three levels of
engagement were high level (47.90), low level (47.80) and moderate level (47.50).
Learners whose fathers were into others had the best performance (48.00), followed by
„others‟ business/trading (48.00), farming/fishing (47.70), and workers (public/private)
(47.30). business/trading had the best performance (62.60) followed by children of mothers
whose occupations were classified as „others‟ (62.20), the children of mothers who worked (public/private) and were into farming/fishing had the least performance (61.90). The
national means of the performance of learners based on distance covered were as follows: <
1 kilometer (47.70), 1 to 2 kilometers (49.90) which had the best performance, >2 to 3
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kilometers (49.60), > 3 kilometers (47.80). With textbooks (60.50) scored higher than those
without textbooks (57.70).
Performance was highest with one or two meals a day (47.80) and thereafter diminished for 3
meals (47.20) and then four meals per day (46.60). Performance of learners without textbooks
(47.90) was higher than that for learners with textbooks (47.40) though the difference was not
significant. Performance of learners who liked their teachers (49.70) was higher than that of
learners who did not like their teachers (48.4). Performance of learners who did not like
school was 48.80 and that for those who liked school was 49.70.
Learners’ Achievement: Social Studies In Social Studies, It can then be concluded that the learners were good in the Multiple Choice
and Essay Tests. The national achievement scores shows there were no significant differences
in performance between the levels of each variable (gender, location and type of school) for
both Tests The national means for the different themes were Family (69.23), Culture (65.51),
National Economy (50.31), Infrastructural Facilities/Services (66.89), Health Issues (67.02),
People and their Environment (60.02) and Social Issues and Problems (62.45). The national
means for the cognitive domains were Knowledge (62.75), Comprehension (61.80) and
finally Higher Order (61.77). The national mean scores for the multiple-choice Test was
49.98 and that for the essay Test was 49.35. Thus, the performance level of learners in the
multiple-choice Test was higher than their performance in the essay Test.
The means for levels of assistance with homework were high level (62.50), low level (62.20)
and moderate level (62.00); availability of learning facilities were low level (62.40), moderate
level (62.30) and high level (61.60); levels of engagement in after-school non-learning
engagement were low level (62.1), moderate level (62.00) and high level (62.00). The national
means for the fathers‟ occupations were business/trading (62.50), worker (public/private) (62.10) and farming/fishing (62.00) while the mothers‟ occupations were business/trading (62.60), „others‟ (62.20), worker (public/private) (61.90) and farming/fishing (61.90). The means for the modes of transportation to school were taxis/buses (46.90), family cars (45.50),
Okada/Bicycle/Tricycle (43.90), walking (45.50) while their distances were < 1 kilometer
(62.20), 1-2 kilometers (56.20), >2-3 kilometers (63.70) and > 3 kilometers (60.90); numbers
of meals were once (62.00), twice (62.80), thrice (62.50) and four times (62.40). The mean
score for learners without textbooks (62.60) was higher than that for learners with textbooks
(61.90). The mean for learners who liked their teachers (46.20) was higher than that of
learners who did not like their teachers (45.50). The mean of learners who did not like
schooling was 45.90 and that for those who liked schooling was 45.50.
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Contents
Preface iii
Executive Summary v
List of Figures xii
List of Tables xvii
List of Acronyms and Abbreviations xix
Section One: Background and Methodology 1
1. Background of the Study 1
Introduction 1
National Assessment 1
The 2017 National Assessment of Basic Education (NALABE) 2
2. Methods and Procedures 4
Project Design 4
Sample Design 4
Data Administration Plan 7
Data Analysis Procedures 9
3. Learners’ Home and Support 12
Introduction 12
Profile of Respondents 12
Home Background 12
Engagement in Co-curricular Activities 18
Observations and Challenges 20
4. Teachers in Schools 21
Introduction 21
Profile of Teachers 21
Staff Situation in Schools 22
Professional Development 24
School Discipline and Climate 25
Decision Making 25
Job Satisfaction and Morale 28
Teaching and Evaluation Practices 30
Teacher Needs 31
Learners‟ Problems Reporting 34
Observations and Challenges 35
5. The School and the Community 36
Introduction 36
The School in Perspective 36
Parents Relationship with the School 37
Parental Support of the School 39
School Fence and Security Provision 41
School Community Relations 42
The School Compound and Buildings 43
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Learners‟ Enrolment, Dropout and Repeaters 44
Classroom Spaces and Open Classrooms 45
Facilities in Schools 46
The Child Friendly School Environment 49
Types of Instructional Materials 51
Observations and Challenges 55
6. Attitude towards Parents 56
Attitude towards Teachers 57
Attitude towards School Subjects 58
Attitude to Schooling 60
Observations and Conclusions 61
Section Two: Learners’ Achievement 62 7. Achievement in English Studies 63
Introduction 63
Achievement at National Level 63
Achievement at Geo-Political Zones 67
Achievement at State Level 69
Relational Analysis 82
Observations and Challenges 95
8. Achievement in Mathematics 96
Introduction 96
Learners‟ Achievement at National Level 96
Achievement at Geo-Political Zones 100
Achievement in Mathematics at State Level 102
Relational Analysis 112
Observations and Challenges 124
9. Achievement in Basic Science and Technology 125
Introduction 125
Achievement at National Level 125
Achievement at Geo-Political Zones 129
Achievement at State Level 130
Relational Analysis 142
Observations and Challenges 154
10. Achievement in Social Studies 155
Introduction 155
Achievement at National Level 155
Achievement at Geo-Political Zones 158
Achievement at State Level 160
Relational Analysis 174
11. Major Findings Implications and Recommendations 184
Results 184
Implications for Policy and Practice 193
Recommendations 196
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List of Figures
Figure 3.1 Distribution of Children in the Learners‟
Immediate/Nuclear Families 13
Figure 3.2: Number of Meals per Day 13
Figure 3.3: Provision of Breakfast 14
Figure 3.4: Provision of Meals for Learners 14
Figure 3.5: Provision of School Uniform 15
Figure 3.6: Percent of Learners who Possess Textbooks 15
Figure 3.7: Percent of Time Spent on Homework 16
Figure 3.8: Percentage of Time Spent on Homework 16
Figure 3.9: Percent of Educational Facilities in the Home 17
Figure 3.10: Percent of Distance of Home from School 17
Figure 3.11: Percent of Mode of Transportation to School 18
Figure 3.12: Percent of Participation in Extracurricular Activities 19
Figure 4.1: Highest Educational Qualification of Teachers 22
Figure 4.2: Type of Training Attended in the Past Five Years by Principals 24
Figure 4.3: Workshop/Training Attended by Teachers in the Past Five Years 25
Figure 4.4: Training Courses Attended in the Past 3 Years by Teachers 25
Figure 4.5: Type of Disciplinary Cases 26
Figure 4.6: Things Principals like about their Job 29
Figure 4.6: Things Principals do not like about their Job 29
Figure 4.7: Use of Instructional Materials by Subject Teachers 30
Figure 4.8: Use of Evaluation Instruments by Subject Teachers 30
Figure 4.9: Help Needed by Teachers in Management Practices 33
Figure 4.10: Help Needed by Teachers in Co-curricular Activities 34
Figure 4.11: Help Needed by Teachers in Instructional Materials and
Evaluation Practices 34
Figure 4.12: Problems Encountered as Classroom Teacher 35
Figure 4.13: Problems Teachers Encounter with Students 35
Figure 5.1: Shift System Run in School 37
Figure 5.2: Frequency of PTA Meetings 38
Figure 5.3: Invitation of Parents to Discuss Learners‟ Progress 38
Figure 5.4: Subject Teachers Visit to Parents 39
Figure 5.5: Level of Assistance Rendered by Parents to School 39
Figure 5.6: Chart of Levies and Fees Payment by Parents 40
Figure 5.7: Relationship between the School and the Community 40
Figure 5.8: Type of Fence 41
Figure 5.9: Type of Security Engaged by School 41
Figure 5.10: Types of Assistance Rendered to School 42
Figure 5.11: Community Attitude towards Aspect of Schooling 43
Figure 5.12: Repeaters and Dropout Rates across States 44
Figure 5.13: Reasons for Learners‟ Dropping Out of School 45
Figure 5.14: Distribution of Classroom Spaces and Open Spaces by States 46
Figure 5.15: Condition of some Facilities in Schools 47
Figure 5.16: Distribution of Facilities 48
Figure 5.17: Available Curriculum Materials in Schools 50
Figure 5.18: Quality of the Curriculum Materials 51
Figure 5.19: Adequacy of the Curriculum Materials 53
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Figure 5.20: Sources of Water Supply 53
Figure 5.21: Available Useable Games/Sports Facilities 53
Figure 5.22: Availability of Refuse Disposal Facilities in School 54
Figure 5.23: Usability of Refuse Disposal Facilities in School 54
Figure 5.24: Availability of Usable Recreational Facilities in Schools 55
Figure 6.1: Reasons Parents like Children 56
Figure 6.2: Reasons Parents do not like the Learners 57
Figure 6.3: Reasons Why the Learners like their Teachers 57
Figure 6.4: The Reasons Why the Learners do not like Their Teachers 58
Figure 6.4: The Reasons Why the Learners do not like Their Teachers 58
Figure 6.5: Reasons the Learners like the Two Subjects best 59
Figure 6.6: Two Subjects the Learners do not like 59
Figure 6.7: The Reasons Why the Learners do not like the Two Subjects 60
Figure 6.8: Reasons Why the Learners like Schooling 60
Figure 6.9: Reasons Why Learners do not like Schooling 61
Figure 7.1: Mean Score on Essay and Multiple Choice Tests 63
Figure 7.2: Transformed Score Ranges 64
Figure 7.3: Percentile Score in Multiple Choice and Essay Tests 64
Figure 7.4: Distribution of Mean Scores in Multiple-Choice and
Essay by Gender 65
Figure 7.5: Achievement of the urban and the rural schools in multiple
choice and essay tests 65
Figure 7.6: Achievement of the Learners in the Five Themes
in English Studies 66
Figure 7.7: Achievement of the Learners in the Cognitive Objectives 66
Figure 7.8: Achievement across Geo-Political Zones on Essay and
Multiple Choice Test 67
Figure 7.9: Achievement in Multiple Choice by School Location 68
Figure 7.10: Achievement in Essay Test by School Location 69
Figure 7.11: Mean Score in English Language in Essay and
Multiple Choice tests 70
Figure 7.12: Mean Scores of the Learners on the Theme Speech 74
Figure 7.13: Mean Scores of the Learners on the Theme Reading 75
Figure 7.14: Mean Scores of Learners in Grammatical Accuracy 76
Figure 7.15: Mean Scores of Learners on the Theme Writing 77
Figure 7.16: Mean Scores of Learners on the Theme Literature 78
Figure 7.17: Means Scores of Learners on Knowledge Objectives 79
Figure 7.18: Mean Scores of Learners on Comprehension Objectives 80
Figure 7.19: Means Scores of Learners on Higher Order Objectives 81
Figure 7.20: Assistance with Homework as Related to
Achievement in English Studies 83
Figure 7.21: Available Facilities as Related to Achievement
in English Studies 84
Figure 7.22: Non-Learning Engagement as Related to Achievement in
English Studies 85
Figure 7.23b: Occupation of Fathers as Related to Achievement in
English Studies 86
Figure 7.24: Occupation of Mothers as Related to Achievement in
English Studies 87
Figure 7.25: Liking Teacher as Related to Achievement in English Studies 88
xiv
Figure 7.26: Number of Meals per Day as Related to Achievement 92
Figure 7.27: Possession of Textbooks as Related to Achievement 93
Figure 7.28: Liking School as Related to Achievement 94
Figure 8.1: National Mean on Multiple Choice and Essay Tests
in Mathematics 96
Figure 8.2: Distribution of Transformed Score Ranges in Mathematics
Essay and Multiple Choice Tests 97
Figure 8.3 Percentile Scores in Multiple Choice and Essay Tests
for Mathematics 97
Figure 8.4: Mathematics Achievement by Gender 98
Figure 8.5: Mathematics Achievement by School Location 98
Figure 8.6: Achievement in the Content Domain 99
Figure 8.7: Achievement in Cognitive Domain 99
Figure 8.8: Achievement in Essay and Multiple Choice Tests based on
Geo-Political Zones 100
Figure 8.9: Mean Score of Learners in Mathematics Essay and
Multiple Choice Tests 102
Figure 8.10: Achievement in Mathematics on the Theme Number
and Numeration 106
Figure 8.11: Achievement in Mathematics on the Theme Basic Operation
across the States 107
Figure 8.12: Achievement in Mathematics on the Theme Algebraic Process
across the State 108
Figure 8.13: Achievement in the Knowledge Objectives of the
Multiple Choice Test in Mathematics across the States 109
Figure 8.14: Achievement in the Comprehension Objectives of the
Multiple Choice Test in Mathematics across the States 110
Figure 8.15: Achievement in the Higher-Order Objectives in the
Multiple Choice Test in Mathematics across the States 111
Figure 8.16: Availability of Learning Facilities as Related to Achievement
in Mathematics 114
Figure 8.17: Out of School Learning Engagement as Related to Achievement
in Mathematics 115
Figure 8.18: Occupation of Fathers as Related to Achievement in Mathematics
Mothers‟ Occupation as Related to Achievement in Mathematics 116
Figure 8.19: Occupation of Mothers as Related to Achievement in Mathematics 117
Figure 8.20: Normal Means of Going to School as Related to Achievement
in Mathematics 118
Figure 8.21: Distance to School as Related to Achievement in Mathematics 119
Figure 8.22: Number of Meals per Day as Related to Achievement
in Mathematics 120
Figure 8.24: Possession of Textbook as Related to Achievement in Mathematics 121
Figure 8.25: Liking Teacher and Achievement in Mathematics 122
Figure 8.26: Liking School as Related to Achievement in Mathematics 123
Figure 9.1: Distribution of Mean Scores for Essay and Multiple Choice 125
Figure 9.2: Distribution of Transformed Score Ranges in Essay and
Multiple Choice Tests 126
Figure 9.3: Percentile Scores in Multiple Choice and Essay Tests in JS 3
Basic Science and Technology 126
Figure 9.4: Achievement in Essay and Multiple Choice Tests by Gender 127
xv
Figure 9.5: Achievement in Essay and Multiple Choice Tests by Location 127
Figure 9.6: Achievement in Content Domains 128
Figure 9.7: Achievement in Cognitive Domain 128
Figure 9.8: Achievement across Geo-Political Zones 129
Figure 9.9: Mean Score in Basic Science and Technology Essay and
Multiple Choice Tests 131
Figure 9.10: Achievement on the Theme „You and Your Environment‟ 135
Figure 9.11: Achievement on the Theme‟ Living and Non-Living Things‟ 136
Figure 9.12: Achievement on the Theme „Science and Development‟ 137
Figure 9.13: Achievement on the Theme „You and Your Energy‟ 138
Figure 9.14: Achievement on Knowledge Objectives 139
Figure 9.15: Achievement on Comprehension Objective 140
Figure 9.16: Achievement on Higher Order Objectives 141
Figure 9.17: Level of Assistance in Homework as it Related to Achievement
in Basic Science and Technology 142
Figure 9.18: Home Work Assistance as Related to Achievement in
Basic Science and Technology 143
Figure 9.19: Availability of Learning Facilities as Related to Achievement in
Basic Science and Technology 144
Fig 9:20. Levels of Non-Learning Engagement and Achievement in
Basic Science and Technology 145
Figure 9.21: Occupation of Fathers as Related to Achievement in
Basic Science and Technology 146
Figure 9.22: Occupation of Mothers as Related to Achievement in
Basic Science and Technology 147
Figure 9.23: Means of Going to School as Related to Achievement in
Basic Science and Technology 148
Figure 9.24: Distance between the Home and School as Related
to Achievement 149
Figure 9:25: Number of Daily Meals as Related to Achievement in
Basic Science and Technology 150
Figure 9:26: Possession of Textbooks on Basic Science and Technology as
Related to Achievement 151
Figure 9.27: Liking Teachers as Related to Achievement in
Basic Science and Technology 152
Figure 9:28: Liking Schooling and Achievement in Basic Science
and Technology 153
Figure 10.1 Distribution of Score for Multiple Choice and Essay Tests 155
Figure 10.2: Examinees Ranges of Scaled Score in Essay and
Multiple Choice Tests 156
Figure 10.3: Percentile Scores in Multiple Choice and Essay Tests for
JS3 Social Studies 156
Figure 10.4: Achievement in Essay and Multiple Choice by Gender 157
Figure 10.5: Achievement in Essay and Multiple Choice by School Location 157
Figure 10.6: Achievement in Cognitive Domain 158
Figure 10.7: Learners‟ Achievement across Geo-Political Zones 159
Figure 10.8: Mean Score in Social Studies Essay and Multiple Choice Tests 161
Figure 10.9: Distribution of Mean Scores in Multiple Choice based on Gender 162
Figure 10.10: Achievement on the Theme People and the Environment 165
Figure 10.11: Achievement on the Theme Culture 166
xvi
Figure 10.12: Achievement on the Theme Social Issues and Problems 167
Figure 10.13: Achievement on the Theme Science, Technology and Society 168
Figure 10.14: Achievement on the Theme Communication 169
Figure 10.15: Achievement on the Theme Family I and Family II 170
Figure 10.16: Achievement on the Theme School Community 171
Figure 10.17: Achievement on the Theme Storage 172
Figure 10.18: Achievement on the Theme National Economy 173
Figure 10.19: Homework Assistance as Related to Achievement
in Social Studies 175
Figure 10.20: Availability of Facilities as Related to Achievement in
JS 3 Social Studies 176
Figure 10.21: Non-Learning Engagement as Related to Achievement in
JS 3 Social Studies 177
Figure 10.22: Occupation of Fathers as Related to Achievement
in Social Studies 178
Figure 10.23: Occupation of Mothers of Learners as Related to
Achievement across States 179
Figure 10.24: Number of Meals per Day as Related to Achievement at the
National Level 181
Figure 10.25: Number of Meals per Day as Related to Achievement for
Learners across States 182
Figure 10. 26: Availability of Recommended Textbooks as Related
to Achievement 183
xvii
List of Tables
Table 2.1 Test Characteristics 6
Table 4.1: Qualification of Teachers (Excluding Religious Instructors) 23
Table 4.2: Freedom in Decision Making about School Activities by Principals 27
Table 4.3: Freedom of Teachers in Decision Making 28
Table 4.5: Use of Evaluation Techniques for Diagnosing Learners‟
Weakness by Teachers 31
Table 4.6: Help Needed by Teachers in Instructional Activities 32
Table 5.1: Description of School Compound 43
Table 5.2: Number of Toilets for Learners 49
Table 5.3: Toilets for Teachers 49
Table 5.4: Types of Instructional Materials Available in Schools 52
Table 7.1: Distribution of Means and Standard Error of English Studies
Multiple Choice and Essay Tests for Zones by Gender 67
Table 7.2: Multiple Choice and Essay Tests Score in English Studies by Gender 71
Table 7.3: Multiple Choice and Essay Test Score of Learners in
English Studies by Location 72
Table 7.4: Achievement as Related to Means of Transportation to School 89
Table 7.5: Distance from Home to School as Related to Achievement in
English Studies 90
Table 8.1: Distribution of Means and Standard Error of Mathematics
Achievement in Multiple Choice and Essay Tests for Zones by Gender 101
Table 8.2: Distribution of Means and Standard Error of Mathematics
Achievement in Multiple Choice and Essay Tests for Zones by Location 101
Table 8.3: Distribution of Mean Scores in Multiple Choice and Essay
Tests based on Gender across States 103
Table 8.4: Multiple Choice and Essay Test Mean Score of JSS 3 Learners in
Mathematics by School Location 104
Table 8.5: Assistance with Homework as Related to Achievement
in Mathematics 112
Table 9.1: Distribution of Means and Standard Error of Achievement in
Multiple Choice and Essay Tests for Zones by Gender 129
Table 9.2: Distribution of Means and Standard Error of Achievement in
Multiple Choice and Essay Tests for Zones by Location 130
Table 9.3: Distribution of Mean Scores on Essay and Multiple Choice
Tests based on Gender across States 132
Table 9.4: Distribution of Mean Scores on Multiple Choice and Essay Tests
Based on School Location across States 133
Table 10.1: Distribution of Means and Standard Error of Achievement in
Multiple Choice and Essay Tests for Geopolitical Zones by Gender 159
Table 10.2: Distribution of Mean and Standard Error of Achievement in
Multiple Choice and Essay Tests for Geo-Political Zones by Location 160
xviii
Table 10.3: Distribution of Mean Scores in Multiple Choice and
Essay Tests Based on Location 163
Table 10. 4: Mode of Transportation as Related to Achievement 180
xix
List of Acronyms and Abbreviations
ACE - Associate Certificate in Education
CCT - Classical Test Theory
DFID - Department for International Development
EFA - Education for All
F - Frequency
FCT - Federal Capital Territory
FGN - Federal Government of Nigeria
FME - Federal Ministry of Education
FSLC - First School Leaving Certificate
GCE - General Certificate of Education
ICT - Information and Communication Technology
IRT - Item Response Theory
IRTPRO - Item Response Theory for Patient-Reported Outcomes
ISCED - International Standard Classification of Education
JAMB - Joint Admission and Matriculation Board
JSS - Junior Secondary School
LGEA - Local Government Education Authority
MDGs - Millennium Development Goals
NALABE - National Assessment of Learning Achievement in Basic Education
NAUBEP - National Assessment of Universal Basic Education Programme
NC - North-Central
NCCE - National Commission for Colleges of Education
NCE - Nigeria Certificate in Education
NE - North-East
NECO - National Examinations Council
NERDC - Nigerian Educational Research and Development Council
NTI - National Teachers Institute
NW - North-West
NYSC - National Youth Service Corp
PEP - Primary Education Project
PGDE - Post Graduate Diploma in Education
PISA - Programme for International Student Assessment
PTA - Parent–Teachers Associations
SBMC - School Based Management Committee
SDGs - Sustainable Development Goals
SE - South-East
SPSS - Statistical Package for Social Sciences
SS - South-South
SSCE - Secondary School Certificate Examination
SUBEBs - State Universal Basic Education Boards
SW - South-West
TIMSS - Trends in International Mathematics and Science Study
xx
UBE - Universal Basic Education
UBEC - Universal Basic Education Commission
UBEP - Universal Basic Education Programme
UNESCO - United Nations Educational, Scientific and Cultural Organization
UNICEF - United Nations Children Education Fund
WAEC - West African Examination Council
1
Section one: Background and Methodology
Chapter One
Background of the Study
1.1 Introduction Quality has been a major concern in the provision of Basic Education in Nigeria as far back
as the colonial period. However, it is one educational challenge that continues to elude
developing countries ostensibly because of the complexity that is involved in ensuring that it
is achieved. Universal Basic Education in Nigeria is an all-inclusive right-based policy
reform which has had to contend with meeting the Education For All (EFA), Millennium
Development Goals and the more contemporaneous Sustainable Development Goals and
targets. It has been acknowledged that the access targets of the first two global initiatives
have been almost half-way realised in Nigeria, although a lot more challenges remain elusive.
Furthermore it is on record that there has been appreciable increase in government investment
in Basic Education lately with a corresponding increase in the same by the donor community.
However, this has not translated into any remarkable improvement in quality learning
outcomes in the nation‟s Basic Education sub-sector.
Since the last National Assessment in 2011, a number of policy changes and fairly robust
financial investment have been witnessed in this sub-sector. It is only expedient therefore to
embark on yet another exercise with the view to appreciating the extent to which these
interventions have impacted on the learning outcome. In other words, do the Ministerial and
Commission‟s UBE related policies and increased funding have any positive impact on the
classroom activities with consequential effect on improved quality of learning outcomes on a
more sustainable basis?
1.2 National Assessment Conceptually, National Assessment is a procedure that is used to assess students‟ learning at
the system level. It is variously referred to as learning assessment, system assessment,
assessment of learning outcomes, or national /international assessment. It is applied to a
survey of schools and students that is designed to provide evidence about learners‟ achievements in identified curriculum areas, such as reading/literacy, mathematics/numeracy,
science and other skills, for a clearly defined part of the education system.
Assessment entails measurement of learning, analysis to diagnose problems, and use of the
findings to guide remedial action. An effective national assessment policy demands real
political commitment to action based on results, such as reallocation of resources, curriculum
reform and/or reorientation of teaching. The overriding goal is to learn more about factors
that influence learners‟ attitude and achievement which may be manipulated to bring about improvement in attitudes and achievement, or efficiencies in the education system. Large-
scale assessments by themselves cannot result in quality improvement, unless the system is
ready to reflect on the findings and use them for improving the quality of teaching and
learning.
2
The typical outcome of most national surveys of educational progress are: i) a detailed
description of the knowledge and skills possessed by learners of a particular age or grade
level in a given domain, and ii) a further description of contextual variables believed to be
related to the former, and within each group of measures. The outcome as well as further
analysis of the data collected facilitates comparison of achievements with local standards,
monitoring of progress over time, comparison between various population groups and
delineation of possible correlates of achievement.
1.3 . The 2017 National Assessment of Basic Education (NALABE)
1.3.1 Rationale
From its inception in 2001, when NALABE was conducted by the Universal Basic Education
Commission, it has officially been a triennial large-scale survey, which attempts to evaluate
the Basic Education sub-system in Nigeria. The Commission had previously conducted four
studies, in 2001, 2003, 2006 and 2011. Although in the ensuing years the triennial cycle was
disrupted partly because of paucity of funds and frequent changes in the Commission‟s large-
scale leadership. Nonetheless the urge for conducting a large scale system assessment has
never veered.
Unlike the previous Basic Education assessments, the 2017 exercise assessed learners in the
two senior classes of the two levels of the programme in all the four core subjects. Thus the
2017 NALABE assessed 43,200 learners in primary classes five and six; 17,280 learners in
junior secondary school classes two and three; in Mathematics, English Studies, Basic
Science and Technology and Social Studies. Additionally, 38,880 parents; 3,888 and 1,512
headteachers respectively in primary and junior secondary schools participated in the
exercise. However, like the previous assessments, the 2017 NALABE also assessed the
impact of the characteristics of learners and their parents, teachers and headteachers on Basic
Education development, in addition to providing a framework for systemic “health check” for policy implementation and school improvement.
1.3.2 Objectives
The aim of the NALABE 2017 is to assess the level of achievement of primary and junior
secondary school learners in Nigeria in four core subjects, English Studies, Mathematics,
Basic Science and Technology and Social Studies with a view to identifying gaps and
diagnose aspects of policy and practice that need improvement. Specifically the objectives of
the study are to:
i) assess level of achievement of learners in primary classes 5 and 6 and JSS classes 2
and 3 in the four core subjects of English Studies, Mathematics, Basic Science and
Technology and Social Studies; and
ii.) assess contextual variables that might be used as explanatory variables for the levels of
achievement attained acquired in the various areas of the core subjects.
3
1.3.3 Focus
The 2017 NALABE focused on both the aggregate achievement of learners and item-level
data at each of the class levels. Data on aggregate achievement were provided on state and
national levels, whereas data on item-level achievement were provided on a national level
only. State level aggregate achievement data provided reference data (norms) which each
state could use for planning purposes and monitoring achievement of learners in future
assessments.
The 2017 assessment, like others before it, also focused on non-cognitive characteristics of
learners, teachers, head teachers and parents, as well as the influence of some explanatory
variables on the learners‟ aggregate achievement (relational analyses).
1.3.4 Scope
This study covered the last two classes of primary and junior secondary levels of Basic
Education in Nigeria. Learners were assessed on the aforementioned four content of subject
areas. Furthermore, non-cognitive measures were also obtained using the questionnaires for
the learners, teachers, head teachers and parents at both levels of Basic Education in the
country.
4
Chapter Two
Methods and Procedures
2.1: Project Design This chapter provides technical details on methods and standard procedures undertaken to
ensure that results of the survey are reliable, comparable across States and reflect differences
in the achievement of learners measured within schools and across States.
NALABE 2017, as in previous studies and some international large scale assessments used a
variety of instruments to obtain measures of what learners know and can do in the
classrooms, after interactions with teachers and instructional materials. Large-scale
assessments are usually of the survey type research involving large and representative
samples that are not subjected to experimental manipulations but focusing on after the fact
observations and collection of measurements.
2.2: Sample Design
2.2.1 Populations Investigated
The target population used in the SURVEY was described as level 1 in accordance with
UNESCO‟s International Standard Classification of Education, ISCED 2011(ISCED, 2012)
which describes the full range of schools from pre-primary (level 0) to doctoral level (level
8). Level 1 corresponds to the first stage of basic education in the Nigerian system “which coincides with the transition point in an educational system where systematic teaching and
learning in reading, writing and mathematics begin” (UNESCO, 2012, p.30). Specifically, the target population: Junior Secondary two i.e. all students enrolled in this class that represent 9
years of schooling counting from the first year of ISCED level 1;
All learners in this target population were exposed to the same National Curriculum and
instructional experiences, and were therefore eligible to participate in the survey. Box 1
provides National Education Statistics for the Primary subsystem. Also in Box 1, the statistics
of the population assessed are segregated from the national data.
Box 1: National Education Statistics.
Number of Junior Secondary schools: 12,570
Student Enrollment: 5,330,606
Male: 2,781,334 (52 percent)
Female: 2,549,272 (48 percent)
Teachers: 20,294
Males: 10,838 (53 percent)
Females: 9,456 (47 percent)
Sub- Populations
Junior School Three: 1,538,868
Males: 871,862 (56.7 percent)
Females: 667,006 (43.3 percent)
2.2.2 Sampling Procedures for Representativeness
A four stage sampling design was employed in the selection of school, classrooms and
learners. The sampling frame of each population provided basis for selection. The
Commission has a robust quality assurance structure with offices in the 36 states and the
FCT. The states offices updated the sampling frame for each population prior to sampling.
5
In the first stage, six Local Government Education Authorities (LGEAs) were randomly
selected from each of 35 states while Bayelsa and the FCT had three each. The LGEAs were
stratified into urban and rural locations. In each of the 35 states, selection ensured equal
participation of urban and rural schools whereas participation in FCT and Bayelsa was in the
ratio 2:1 in favour of urban location. Stratification was to ensure the inclusion of all segments
of the populations. The decision to sample 50 percent of LGEAs in Bayelsa and the FCT was
one of numbers, since the two States have eight and six LGEAs respectively.
The second stage of sampling focused on the selection of schools. Two JS schools with at
least 20 learners in a class (this is to be sure there were no school with less than 20 learners in
JS 2 especially in the rural schools) were randomly sampled in each of the 35 States and one
each from FCT and Bayelsa. Therefore, from each of the 216 LGEAs, two schools (one urban
and one rural) were randomly selected.
At the third stage, that is, school level sampling, a class was randomly selected from the
number of streams in the primary six. At the fourth stage, random sampling was undertaken
to select 15 learners where there were more than 15 learners in the selected classes.
Box 2: Sampled Statistics from the Population of LGAs, Schools, Classes and Learners
LGEAs: 216
Junior Schools: 432
JS 3 Classrooms: 432
Students: 8,640
Parents: 6,480 (15 per class)
2.2.2.1 Sample Size Determination
Sample size determination and representativeness are central to the effective generalisation
and comparability of results across the populations surveyed in the country of study and out-
countries. After much deliberation by Technical team, the following standards were agreed
upon:
Box 3: Sampling Size Statistics
Margin error of estimate set at 0.031
Confidence interval = 95 percent
Standard Deviation for Primary = 2.289
Calculations
ME = t S/√n
Where
ME = Margin Error
t = t distribution score
n = sample size
Junior Secondary class sample
0.031 = 1.96 x 1.41/√n
0.031√n = (1.96 x 1.41) √n = (1.96 x 1.41)/0.031
= 7953.874
Sample per State = 7953.874/36
= 220.941 = 240 (Approx.)
Samples in each of Bayelsa and FCT = 120
Sample in each of the remaining 35 State = 240
Responses on Mathematics were used because it is a high stake subject where large variance
is always observed.
The team decided to increase sample size in each of the 35 states to 240 from the estimated
220.94 which consequently increased national sample to 8,640. Therefore statistically
representative sample was 8,640 for junior secondary schools populations.
6
Ensuring how a sample represents the population where it is drawn remains a challenge in
carrying out assessment surveys; NALABE 2017 adapted TIMSS 2015 sampling approach to
select participants to ensure the credibility of the results and findings. To obtain estimates of
learners‟ proficiency in Basic Science and Technology, English Language, Mathematics and
Social Studies, simple random sampling technique was used to sample learners from 36 states
and Federal Capital Territory. The samples were drawn from Primaries five and six and also
Junior Secondary two and three. To deal with envisaged uncertainty in the reported statistics,
such as the means and percentages computed to estimate population parameters, sampling
errors were also estimated. Each statistics, especially the mean in the NALABE Reports is
accompanied by an estimate of its standard error. For statistics, reporting learner‟s
achievement, which are based on plausible values, standard errors play important roles. An
approach that reflects the uncertainty due to generalising from learners samples to the entire
populations, referred to as sampling variance was used in this survey. The second approach
that reflects uncertainty due to inferring learners‟ achievement on the entire assessment from achievement on the subset of items, known as imputation variance was not adapted because
its methodology made provisions for every pupil/learner to take the entire Test on every
subjects.
For parameter estimates of variables that are not plausible values, standard errors are based
entirely on sampling variance. For estimating sampling variance, NALABE 2017 made
extensive use of probability sampling to derive achievement results from national samples of
learners across States. The rationale behind this was that many such samples are possible but
only one sample is drawn, some uncertainty about how well the sample represents the
population is to be expected. The uncertainty caused by sampling learners from a target
population, known as sampling variance had been taken care of in reporting through
estimation of standard errors. From the sampled results, the maximum average standard error
estimated across the four classes is 0.74, an indication of how close each sample is, in
representing its own population. It also authenticates the validity of the intended results.
2.2.3 Instruments Development
Achievement Tests Items:
1. A review and updating the frameworks of curriculum content domains for the subjects:
English studies, Social Studies, Basic Science and Technology and Mathematics.
2. A review of item bank from past assessment cycles.
3. Developing items and scoring guides in accordance with the specifications of content and
cognitive domains in the frameworks.
4. Conducting trials of the items on equivalent samples and conducting item analysis.
5. Selecting items from step 4 and a pool of existing items in the item bank.
These processes started in June 2014 and involved Assessment Unit staff in the Commission,
experienced measurement experts and subject specialists from the Universities, which were
concluded in April 2017. Steps 1 and 2 are fairly straightforward since there are no changes
in the National curricula for the subjects Tested. Also the item bank was secured for current
use.
2.3.2 Developing Items and Scoring Guides
The Item writing experts for the four subjects had three workshops during which extensive
examination of the content of previous Tests, weight assigned to topics and cognitive
domains, percentage of weight assigned to topics, themes and domains for both Multiple
Choice Tests and constructed response items. In addition, the Item Writing Guidelines
provided “streetwise” information for writing items and scoring in order to obtain good
7
measurements from the field. As has been the practice twice the number of items required in
each Test for the main assessment were developed for the trial Testing version for each
subject and their corresponding populations. Consequently, 1,280 items for the Multiple
Choice Tests items and 256 items for the constructed response component were selected from
the pool. The item writing tasks generated a minimum of 250 items for each subject and
target populations. However, it is noteworthy that Tables of specifications developed for each
Test are presented in Appendices 2.1 to 2.9.
2.3.2.1 Pilot Trial of the Items
Field Test items, 80 for each subject and population were administered on equivalent samples
of the respective populations in five schools and in four states. In all, 976 Multiple Choice
Test responses and 50 constructed response scripts were obtained for each Test and target
population.
Table 2.1 Test Characteristics
Number of
test forms
Number
of items
KR 20
1 English Studies 5 255 From 0.736 to 0.856
2 Mathematics 4 204 From 0.574 to 0.753
3 Basic Science and
Technology 5
257
From 0.653 to 0.776
4 Social Studies 5 260 From 0.717 to 0.793
The scripts for constructed response items were used for intensive training of practising
subject teachers for marking responsibilities by the subject specialists. Indeed, majority of the
teachers have varied years of experience in marking responsibility with the West African
Examination Council (WAEC) and the National Examinations Council (NECO). Several
trials and moderations achieved a minimum inter marker reliability of 88.
The field Test results were used by the Technical team to examine the item statistics. Several
items which had weak measurement properties were eliminated. For some subjects and
corresponding populations surviving items were less than 40 and as such the Technical team
revisited the reserved pool of items to select items and compose a Test booklet for each
subject. Again, such versions were filtered through the field Testing and item analysis
processes. On the whole, 16 text booklets were developed for the four subjects and four target
populations.
Development of Context Questionnaires
The development of four context questionnaires for pupils/learners, teachers, head-teachers
/principals and parents was similar to the Tests. Reliability estimates ranged from 0.78 – 0.89.
2.4: Data Administration Plan The plan had three inclusive components:
1. The Technical Committee for the project meticulously selected 1,512 Test administrators
from the Commission, State Education Boards, Local Government Education Authorities
and the National Youth Service Corps
2. A comprehensive Test Administration Manual was developed, on which Test
administrators received intensive training in the mechanics of collecting data from the
participants. Several trial sessions were held to ensure high quality data collection
8
3. Each Test administrator was assigned to a school with the responsibility of administering
16 Test booklets and questionnaires for learners, teachers, head teachers/principals and
parents in five working days. The instruments were administered in four days while the
fifth day was provided for collation and follow up on outstanding response sheets and
instruments.
2.4.1 Quality Assurance
The following actions and processes were undertaken to ensure technical objectivity and
reliability of the measurements obtained from the data collection, data management and
analysis:
2.4.1.1 Data Administration
Participation rates were determined prior to the field work as follows:
i. a minimum participation rate of 85percent of the originally sampled schools,
ii. a minimum class participation rate of 95percent from the originally sampled schools,
iii. a minimum learners‟ participation rate of 85percent from sampled schools or,
iv. Minimum combined schools, classrooms and learners‟ participation rate of 75percent
based on originally sampled schools.
2.4.1.2 Data Administration Monitoring
Teams of experts from the academia, development partners and civil societies were engaged
in the quality monitoring processes. Each sampled school had unscheduled visits from the
monitoring teams and local education officers.
The extensive and robust Test administration and monitoring procedures were designed to
ensure consistency across States and schools such that differences in achievement will not be
attributable to factors unrelated to achievement. Furthermore, precision in data collection and
submission from field staff were effectively managed to minimise both systematic and
random error sources. Specifically, Test administrators and monitors ensured similar Testing
environments. Increased precision improves the quality of results and the confidence placed
on the statistical analyses. Indeed, consistent administration procedures and precision of data
from a representative sample strengthened the power to generalise that the results accurately
reflect achievement levels of learners in the four target populations.
2.4.1.3 Data Management
The responsibility of data collation, sorting and entry was assigned to staff of the ICT unit of
the Commission. Although some key staff of the Unit have 12-15 years experience in data
entry processes, a data management and analysis agency was contracted to work with the in-
house team to ensure parsimony of the database for objective analysis. Data entry plans of the
Commission and data analysis plan from the outside agency were harmonised and used to
scrutinize the data. The sessions resolved issues of missing files, inappropriate entry codes
and “out of the world” entries, thereby ensuring that only clean files were used for analysis.
Furthermore, the Commission‟s Technical team spent two working days monitoring the data analysis procedures of the contract agency. As expected in large scale data management,
several issues were observed and resolved. In few cases, the ICT Unit had to undertake a
review of field data for some schools.
The last phase of data management standards and Quality Assurance had in attendance
Technical staff of the Commission, data management and analysis agency and the team
9
contracted to write the Reports. At the two day workshop, fresh issues were thrown up and
resolved to the satisfaction of all parties.
Computation of Achieved Sample
S/N Criteria (PISA, OECD Standards 2015) Proposed Achieved
percent
Achieved
1 A minimum participation rate of 85percent of
the originally sampled school 432 428 99.07
2 A minimum class participation rate of
95percent from the originally sampled schools 432 428 99.07
3 A minimum students‟ participation rate of 85percent from sampled schools
8640 7512 86.94
The data above shows that the study sample satisfied the minimum acceptable criteria
established prior to data administration as well as underscore data integrity.
2.5 Data Analysis Procedures
2.5.1 Conversion of Data to Analysis Software
The basic software used for data capturing were Microsoft access and Microsoft Excel.
Options were coded in words. Open ended items included in the four questionnaires-
Teacher, Learner, Parent and Head teacher/Principal were systematically captured by
obtaining universe of options for the items. Numerical codes were used to replace the options
coded in words. Misspell of some of the options at the level of data coding constituted a
challenge, but this was overcome at data cleaning level. The data were imported to Statistical
Package for Social Sciences (SPSS) software where final data editing and cleaning was done.
Responses on Cognitive Tests (Basic Science and Technology, English, Mathematics and
Social Studies) were scored and coded dichotomously as well on Microsoft Excel before
importing to SPSS for further analysis.
2.5.2 Classical Test Theory versus Item Response Theory
Previous National Assessments conducted by the Commission were anchored on Classical
Test Theory (CTT). With the engagement of measurement experts for data analysis and
reporting, major limitations of the old procedures were highlighted. CTT is approximately
100 years old, and still remains commonly used because it is simple enough that it can be
used by researchers without formal training in psychometrics. Most statistics are limited to
means, proportions, and correlations. However, it lacks the sophistication to deal with a
number of very important measurement problems.
Here are just a few comparisons between Classical Test Theory (CTT) and Item Response
Theory (IRT) to justify the adoption of IRT for NALABE 2017.
Sample dependency: Classical statistics are all sample dependent, and unusable on a
different sample; results from IRT are sample-independent within a linear transformation
(that is, two samples of different ability levels can be easily converted onto the same
scale).
10
Test dependency: Classical statistics are tied to a specific Test form, and do not deal well
with sparse matrices introduced by multiple forms, linear on the fly Testing, or adaptive
Testing which are the strengths of IRT.
Weak linking/equating/Scaling: CTT has a number of methods for linking multiple forms,
but they are weak compared to IRT.
Measuring the range of learners: Classical Tests are built for the average learner, and do
not measure high or low learners very well; conversely, statistics for very difficult or easy
items are suspect. IRT offers opportunity to extremely high and low ability Testees to
exhibit their proficiency.
Lack of accounting for guessing: CTT does not account for guessing on Multiple Choice
examinations whereas IRT does.
Scoring: Scoring in classical Test theory does not take into account item difficulty. Each
item is assumed to have equal difficulty whereas it is not so. IRT allows for estimating
the difficulty of each item and build the same into individual score.
Anchor Items: CTT is sample dependent, hence linking scores using anchor items is not
practicable but using Anchor items under IRT to allow for future prediction is feasible.
2.5.2.1 Adoption of Item Response Theory (IRT)
Item Response Theory (IRT) provides a score scale that is more useful for many purposes
(e.g., for the construction of developmental scales or for the calibration of Tests comprising
different types of items or exercises). Its usage also extends to sum score, percentage correct,
or percentile scales. IRT family provides models for which the summed score is a sufficient
statistics for the characterisation of the latent variable (𝛉) (Masters & Wright, 1984; Rasch,
1960). In IRT models each response pattern is usually associated with a unique estimate of 𝛉.
These estimates of 𝛉 can be used as scaled response pattern scores; with the advantage of
extracting all information available in the item responses, especially if the model is
appropriate for the data. In addition, the IRT model produces estimates of the probability that
each response pattern will be observed in a sample from a specified population. In applied
measurement contexts, however, it is often desirable to consider the implications of IRT
analysis for summed scores, rather than response patterns. For example, in a large-scale
Testing program it may be desirable to tabulate the IRT scaled scores associated with each
summed score on operational forms, using item parameter estimates obtained from item data.
Measurement experts evaluated a good number of IRT software to estimate item parameters
and the scoring for each Testee. Two IRT software were adopted: NOHAM to establish the
dimensionality of each Test and IRTPRO 3for estimations and scoring. The efficacy of IRT
over the normal Classical approach became obvious from the sample analysis.
For the two models, the same approach-percentile approach was used for the classifications
into Low (0 to 25th
), moderate (Above 25th
to 75th
) and High (Above 75th
to 100th
). There
were 305 scores Classical Test Theory (CTT) categorised as low but IRT classified them as
moderate. Also 393 was classified as moderate by CTT but High by IRT. IRT therefore
generates true scores than CTT.
The implication of this is that Item Response Theory method of scoring produced different
Test scores for learners‟ who have the same raw scores under the classical Test theory method. The differences observed in the Test scores of the learners under the Item response
theory method of scoring emanates from the disparity in the discrimination and difficulty
indices. Item statistics are always taken into consideration in the process of estimating
learners‟ Test scores under Item Response Theory scoring method.
11
2.5.2.2 Predicting Future Achievement Using IRT
NALABE 2017 has introduced a new dimension to assessment in Nigeria. Anchor items were
built into cognitive Tests for the four populations sampled across the four core subjects
(Basic Science and Technology, English, Mathematics and Social studies). Iyala (2009)
proposed two variants of the anchor-item nonequivalent groups design. This will allow for
comparing achievements for different years and also provides opportunity for future
prediction of achievement. The first variant, internal common items, includes the
achievement on the common items part of the observed score. In the second variant, external
common items, the individuals‟ achievement on the common items is not considered part of their observed scores. It is believed that when administering, the external common items,
achievement can be influenced by fatigue, motivation, learning, practice and so on due to the
fact that their administration always come outside that time for actual form of the Test.
Considering the appropriateness of internal common items in linking and predicting scores,
NALABE 2017 adopted internal approach. This will serve as a strong foundation for the next
NALABE survey and also enhance achievement comparison, progress tracking and future
achievement prediction.
2.5.3 Descriptive Statistics
Descriptive statistics were used to describe the basic features of the data in this study. They
provide simple summaries about the sample and the measures. Together with simple graphics
analysis, they form the basis of virtually every quantitative analysis of data. The Basic
components of descriptive statistics used in this study were: Mean, Standard error of mean
percentages and graphs.
2.5.3.1 Mean and standard error of mean
The "mean" is the "average” where you add up all the numbers and then divide by the
number of numbers. A standard error is the standard deviation of the sampling distribution of
a statistic. Standard error is a statistical term that measures the accuracy with which a sample
represents a population. In statistics, if a sample mean deviates from the actual mean of a
population; this deviation is the standard error. With the systematic approach adopted, the
estimated mean for each of the State is likely to be close to the population mean on each of
the subjects investigated- Basic Science and Technology, English, Mathematics and Social
Studies. Standard errors of mean are expected to be minimal, as confirmation for sample
means being true representatives of population means.
12
Chapter Three
Learners’ Home and Support
Introduction The home is the primary agency of education. It is an informal but active agency that
prepares the learners for school and exerts great influences on their social development. The
home and neighborhoods are complex social environments which intricately interact and
impact positively or otherwise on the growth, development and school achievement of
learners. The learner inherits the genetic makeup of parents (nature) while the various
environments (nurture) have tremendous influences on inherited traits. The best genetic
inheritance can only be useful if well nurtured; this can happen in sustainable environments
where there is demonstrable parental love and care, stable family life, social and educational
support, sense of encouragement, safety and security, while a weak home environmental
support throws up a poorly prepared and demotivated learner.
3.1: Profile of Respondents
In this section, responses were pooled from information provided by the learners and teachers
as related to the home and support provided to the learners. The achieved sample for the
learners was 7,464 and comprised 51.7 percent males and 47.2 percent females. The sample
for parent was 5,332 and comprised 64.40 percent males and 34.10 percent females. The level
of education of learners‟ parent indicates that 24.80 percent had SSCE/GCE, 11.10 percent
had First School Leaving Certificate (FSLC); there were parents with other qualifications.
Their fathers belong to various occupations group such as working in public and private
sectors (29.7 0 percent), farming/fishing (22.90 percent) and business and trading (20.50
percent) being the dominant ones. On the other hand, the mothers‟ occupation shows a slightly different distribution, with 41.00 percent of them in business/trading, 13.50 percent in
public/private sector work and 12.60 percent into farming/fishing.
3.2: Home Background
The home of the learner is important in bringing up the child. It is equally important in
providing support for the learner in assisting the schools to realise its objectives. The home
environment is composed of the totality of its members including parents themselves, number
of siblings and type of residence. For example, the size of the family affects the quality of life
of the child, as well as his/her care and support.
Majority of the learners (86.10 percent) live with their parent and 9.10 percent with their
guardians. Figure 3.1 indicates the number of children in the family. From the figure, it is
observed that 29.6 percent, 37.30, 21.40 and 11.70 of the parents had 1-3 children, 4-6, 7-10
and more than 10 children, respectively.
13
Figure 3.1 Distribution of Children in the Learners’ Immediate/Nuclear Families
At least 92 percent of the learners had up to three siblings (brothers and sisters) participating
in each of primary, secondary or tertiary levels of education. Percentage of learners with
more than three siblings (brothers and sisters) at each of the levels varied between 0 and 6.3
percent.
The provision of meals apart from furnishing the body with requisite nutrients for growth also
provides energy needed for activities which are a part of the school programme. Learners
need food to function well in school; as it is normally said, a hungry man is an angry man.
Underfed learners may not concentrate very well in school and that can defeat the purpose of
coming to school. Among the learners in this study as presented in Figure 3.2, a high number
of learners (69.3 percent) have three meals a day, while 18.2 percent, 5.7 percent, 5.8 percent
have meals twice, four times and once a day respectively.
Figure 3.2: Number of Meals per Day
Even though the learners have indicated how many times they eat in a day, provision of
breakfast may be more relevant to the learners. This is because if learners come to school
without taking breakfast, they could become easily irritated and there may be a source of
misdemeanour in school. Figure 3.3 shows that 70.2 percent of the learners ate breakfast at
one - three Four - six Seven - ten Above 10
29.6
37.3
21.4
11.7 Pe
rce
nt
Number of Children
14
home, 8.3 percent take their breakfast to school, 13.1 percent received pocket money for
breakfast while 1.2 percent ate meals provided by the schools.
Figure 3.3: Provision of Breakfast
Closely related to availability of meals to the learners is the provision for their sundry needs
at school as can be seen in Figure 3.4; 21.7 percent received pocket money frequently (every
school day), 55 percent received sometimes two to three times a week, while 21.3 percent
rarely or never received pocket money.
Figure 3.4: Provision of Meals for Learners
Provision of school uniforms is another area parents support their children. Figure 3.5 shows
that 42.2 percent of them had a pair of school uniform, 41.9 percent had two pairs whereas
about 5.5 percent did not have any. By implication therefore, the category of learners without
school uniform had to wear other clothes to school, which can have adverse socio-
psychological effect on such a learner.
0 20 40 60 80
No response
The school gives me breakfast/one meal a
day
I go home to eat my breakfast during
break
I take my breakfast to school
I am given money for breakfast
I eat at home before going to school
3.6
1.2
3.6
8.3
13.1
70.2
Percent
0
10
20
30
40
50
60
Rarely/Never Sometimes Frequently No response
21.3
55
21.7
2
Pe
rce
nt
Provision of meals
15
Figure 3.5: Provision of School Uniform
Although the school uniform gives learners an identity and a sense of purpose, it may not
have a direct impact on learning in school. An important material very much needed by the
learners is the availability of the textbook as these are used for teaching by the teacher, for
revision and reference by the learners. Figure 3.6 indicates that 52.40 percent of the learners
possessed English Studies textbooks and 45.30 percent had Mathematics textbooks. Also,
33.75 percent and 27.37 percent of learners possess textbooks for Social Studies and Basic
Science and Technology respectively. The largest number of learners did not possess
textbooks for Basic Science and Technology (61.85) and Social Studies (57.74). More
learners possessed textbooks in English Studies and mathematics probably because of the
emphasis laid on these subjects in the curriculum.
Figure 3.6: Percentage of Learners who Possess Textbooks
The possession of textbooks will help learners organise their learning and thus learners work
on task and other assignment. Figure 3.7 indicates that only 23.20 percent of learners spend
up to two hours on homework per day, while 53.70 percent spend just an hour per day.
However, there were up to 0.40 percent of the learners who spent as much as three hours on
their assignments per week, while 7.30 percent of them never did homework at all.
0
5
10
15
20
25
30
35
40
45
One set Two sets Three sets None No
response
42.2 41.9
7.8 5.5
2.6
pe
rce
nt
Number of uniforms
16
Figure 3.7: Percentage of Time Spent on Homework
Some learners need assistance in accomplishing their homework from several sources within
and outside of the home. Among the different sources are parents/guardians, Brothers and
sisters among others. The responses in Figure 3.8 indicates that 54.80 percent, 35.70 percent,
30.70 percent and 23.20 percent of the learners received between very much assistance (5 to
7.5 hours) per week from their parents, siblings, paid tutor and guardians to do their
homework. Therefore it is quite apparent that parents provide much more assistance to
learners in this respect than anyone else. However, the quality of assistance with homework
requires the availability of educational resources, other than textbooks, which provide
educational information and first hand experiences to the learners.
Figure 3.8: Percentage of Time Spent on Homework
How conducive the home can be for learning is a function of available facilities, particularly the
educational ones. This is because they help to encourage learning when properly utilised and
consequently improve achievement. Figure 3.9 presents the facilities that are provided at home.
The figure indicates that in 72.60 percent, 70.90 percent and 55.30 percent of the learners‟ homes,
television, radio and video set are provided respectively. With current development in Information
Communication and Technology, it is worrisome though that two vital resources, the computer
17
and its companion the internet, are available only in 18.70 percent and 11.10 percent of the
learners‟ homes, respectively.
Figure 3.9: Percentage of Educational Facilities in the Home
Furthermore, home support was examined from two other items (distance from home to
school and the means of transportation by which learners normally go to school. This is an
important factor in determining parents‟ choice of schools for their children. Figure 3.10
indicates that 35.50 percent of the learners lived less than one kilometer away from their
schools, while 27.70 percent of them lived within a distance of one and two kilometers. Also
17.50 percent and 2.50 percent of the learners attended schools that were between two to
three kilometers and more than three kilometers, respectively.
Figure 3.10: Percentage of Distance of Home from School
Related to the issue of distance is the means by which learners go to school; the results in this
regard are presented in Figure 3.11. Their responses indicated that 79.00 percent of them
walk to school, 6.20 percent of them were driven in their parents‟ car, 7.80 percent used
bicycles/motorcycles/tricycles and 5.30 percent used public transportation.
18
Figure 3.11: Percentage of Mode of Transportation to School
3.3: Engagement in Co-curricular Activities
The benefits of extracurricular activities to learners are numerous but varied. They range
from physical health and well-being, life and social skills development, boost in academic
achievement, promotion of economic and labour skills with work habits and positive attitude
and behaviour. Research has shown that appropriate extracurricular activities help learners to
develop time management skills, build self-esteem, explore diverse interests and hobbies, set
life goals and break the boredom of regular classroom and homework assignment. An
examination of the results depicted in Figure 3.12 indicates that 66.8 percent of the learners
were either always or sometimes engaged in games and sports, 66.70 percent in cooking,
60.00 percent in farming and 36.30 percent in trading/hawking.
19
Figure 3.12: Percentage of Participation in Extracurricular Activities
20
Observation and Challenges
1. It is gratifying that as many as 84.1 percent of the learners had at least one uniform
because children who do not have any school uniform are prone to social stigmas as a
reflection of poverty and possibly lack of attention and care. Such learners could
experience rejection and isolation from classmates, with more serious consequences of
poor achievement or even dropping out of school.
2. Poor nutrition affects learners‟ growth and development as well as their cognitive achievement, health, general well-being and consequently their retention in school.
Researchers have discovered that malnourished children were found to have delays in
vision, fine motor skills, language development and personal-social skills. Results here
indicate that 5.8 percent of the learners had only one meal a day; these groups of learners
may therefore be in dire need and providing a second meal would be an added
advantage. This must have to be need-based and states should key-into this initiative so
that the revitalisation effort of the federal government can have a wider coverage.
3. At least 38 percent, that is more than a third, of the learners surveyed did not have any
textbooks in the core four subjects. The learners will definitely be disadvantaged because
they may not be able to complete homework assignment (from textbook) or even do self-
study to complement teachers‟ or class notes. This is a very worrisome development as it raises serious questions on the success of UBEC‟s policy of providing books to basic
education schools. It further questions the book distribution mechanisms at state level
and their usage and safety at school level.
4. It is quite evident that parents are the greatest providers of assistance on homework to
learners. However, the findings show that 53.70 percent of learners spent one hour daily
on homework; it would appear that homework was rarely given in most school subjects
at this level. Homework is given for several reasons including; encouraging independent
study and improvement of learning skills outside the classroom environment, allows
parents‟ monitoring learners‟ progress and provides opportunities to source information and first hand experiences from non-school platforms. Since homework compels learners
to undertake independent study at home, parents should take advantage of PTA meetings
to discuss issues of quality and frequency of assignments for any meaningful after school
engagement of learners.
5. The extant policy of distance between home and school specifies a maximum of 2 km. In
this study, 63.20 percent of the learners have benefited from this policy. Building more
schools can contribute to the full realisation of this policy. The consequence would
possibly be improved access and retention.
6. About one-fifth (21.20 percent) of the learners did not engage in games and sports and to
a large extent missed-out on the recreational benefits of participation in such activities.
Although 36.30 percent of the learners were engaged in some form of trading or
hawking, it is very high, since they could be doing so for economic reason. They engage
in these trades after school or during weekends in market places, motor parks, along the
streets, and even within the neighborhood, ostensibly to support their family. It is only
reasonable to expect this as a distraction with respect to engagement in after-school
homework and independent study. Furthermore, early involvement in economic activities
exposes learners to a number of risks and social vices. It is therefore necessary to enforce
existing laws by states and local government, including those on street hawking. Indeed
those aspects of the UBE Law, which address these challenges, should be justifiable and
implemented in order to serve as a deterrent to both parents and learners.
21
Chapter Four
Teachers in Schools
Introduction Without teachers, the educational processes that lead to acquisition of knowledge, skills and
acceptable behaviour by learners within the school would be stunted. The ability of the
teachers to effectively carry out this responsibility depends on the training, experience and
on-the-job professional development. Their efficiency can be reduced if there is no discipline
within the school. The principal who is also a teacher with requisite training and teaching
experience occupies and plays an important role in any school as decisions made by him/her
have far reaching consequences for the school. In this chapter, the teachers within the schools
are examined along different dimensions taking into consideration their profile, staff situation
in schools, professional development, school discipline, decision making, job satisfaction,
teaching and evaluation practices and teachers‟ needs and learners‟ problems encountered.
4.1: Profile of Teachers This section presents teachers‟ bio-data such as gender, age, educational qualifications,
among others. A total of 533 principals participated in the study. Among the principals, 378
(70.90 percent) of the Principals were aged between 50-59 years, 111(20.8 percent) were
between 40-49 years, 28 (5.3 percent) were aged 30-39 while 8 (1.5 percent) were aged 20-29
years and 8 (1.5 percent) did not respond. A large majority of the Principals (90.10 percent)
were married.
A large majority of the principals (90.10 percent) were married. A substantial number of
them were graduates with teaching qualification and 9.9 percent were holders of the Nigeria
Certificate in Education (NCE). Six hundred and eighty four teachers participated in the study
out of which 57.9 percent were males while 42 percent were females. The modal age of 30-39
years representing 41.1 percent was observed for the teachers and majority of the teachers
(93.7 percent) were less than 50 years old and are therefore in their productive year. Among
them, 5.4 percent were aged 50 years and above, while 0.9 percent did not specify their age.
Majority of the teachers representing 79. 2 percent of the sample were married, 17.3 percent
were never married, 1.3 percent were widowed, while 0. 3percent were separated and 13
percent did not specify their marital status. Among the teachers as presented in Figure 4.1,
44.9 percent were graduates with teaching qualifications, 37.3 percent had NCE, and 10.7
percent are graduates without teaching qualification. However, 0.7 percent of teachers did not
specify their qualifications From Figure 4. 1, about 82.2 percent of the teachers were
professionally qualified to teach in junior secondary schools.
22
Figure 4.1: Highest Educational Qualification of Teachers
Teaching experience of teachers showed that 34.8 percent of the teachers have taught for
0-5years, 45.1 percent have taught for 6-15 years, 10.2 percent have taught for 16-20 years,
5.8 percent have taught for 21-25years, 2.2 percent have taught for 26-30years, and 0.6
percent has taught for 31-35 years. However, 1.3 percent did not respond. From the data, 8.6
percent of the teachers have had over 20 years of professional experience.
With respect to salary, 63.2 percent of the teachers earned a monthly salary between N10,
000-50,000, 22.2 percent earned N51, 000-100,000, 2.5 percent earned N 101,000-150,000,
0.6 percent earned N151, 000-200,000, and 1.00 percent earned N201,000-250,000.
However, 10.5 percent of the teachers did not indicate their monthly salary.
4.2: Staff Situation in Schools
Human resources are a sine qua non in any organisation as they drive whatever happens
within it. In schools, both teaching and non-teaching staff are available and they work
together to ensure that the goals of the school are realised. There were 6583 non-teaching
staff made up of 52.3 9 percent males and 46.61 percent females in the sample schools. There
were 44644 teaching staff. Table 4.1 shows the qualification of teachers across the 36 states
and the FCT by gender. As can be seen, 14,969 (33.53 percent) of the teachers had the
Nigeria Certificate in Education (NCE)/Associate Certificate in Education (ACE) of which
6,178 (13.84 percent) are males and 8,791 (19.69 percent) are females. Teachers with degree
certificates were 11,464 (25.68 percent), consisting of 6,195 (13.88 percent) males and 5,269
(11.80 percent) females, while 7,552 (16.92 percent) of the teachers had post graduate
degrees consisting of 3,414 (7.65 percent) males and 4,138 (9.27 percent) females. However,
considering that the minimum qualification for teaching at the basic education level is the
NCE, those with qualification below Grade II were high (8,397 or 18.82 percent) consisting
of 4,282 (9.60 percent) males and 4,115 (9.22 percent) females.
23
Table 4.1: Qualification of Teachers (Excluding Religious Instructors)
STATE
Below
Grade
II
Male
Below
Grade
II
Female
Grade
II
Male
NCE/
ACE
Male
NCE/A
CE
Female
Degree
Male
Degree
Female
PG
Male
PG
Female Total
ABIA 3 13 0 31 239 63 237 8 22 616
ADAMAWA 253 107 52 281 200 101 44 3 5 1046
AKWA-
IBOM 45 47 43 70 172 96 91 12 5 581
ANAMBRA 2 7 1 12 71 36 124 6 10 269
BAUCHI 629 602 669 527 588 1435 805 1375 1802 8432
BAYELSA 5 4 0 30 70 24 34 2 0 169
BENUE 22 29 14 56 113 126 89 59 29 537
BORNO 11 11 37 269 397 56 55 9 5 850
CROSS-
RIVER 0 3 8 77 295 130 266 3 2 784
DELTA 643 654 34 94 343 55 160 17 23 2023
EBONYI 2 13 4 99 267 54 91 4 7 541
EDO 0 6 5 63 352 60 97 6 12 601
EKITI 25 20 32 67 68 93 86 61 49 501
ENUGU 22 29 14 56 113 126 89 59 29 537
FCT-
ABUJA 0 2 0 232 225 88 105 18 7 677
GOMBE 300 328 47 310 257 46 16 3 1 1308
IMO 1 2 7 16 165 54 257 3 4 509
JIGAWA 23 36 10 62 115 122 101 60 34 563
KADUNA 13 9 4 257 342 155 84 1 3 868
KANO 45 15 36 520 116 128 25 9 1 895
KATSINA 337 299 7 272 255 73 30 13 6 1292
KEBBI 20 25 10 61 147 122 87 56 31 559
KOGI 21 28 5 163 269 46 44 5 11 592
KWARA 84 76 101 96 110 117 97 82 87 850
LAGOS 7 23 4 56 117 109 122 4 6 448
NASSARA
WA 2 5 2 89 127 25 51 4 2 307
NIGER 1 15 2 104 178 130 53 5 1 489
OGUN 2 3 0 89 226 128 169 5 5 627
ONDO 24 27 12 51 121 113 86 57 27 518
OSUN 74 77 0 54 278 99 161 0 2 745
OYO 0 2 6 109 252 132 152 3 0 656
PLATEAU 0 10 6 237 256 72 90 4 3 678
RIVERS 275 273 150 80 127 97 137 93 90 1322
SOKOTO 83 42 197 182 130 108 76 38 27 883
TARABA 680 680 28 596 725 262 186 14 2 3173
YOBE 25 25 62 329 391 124 83 3 0 1042
ZAMFARA 603 568 653 481 574 1390 789 1310 1788 8156
National 4282 4115 2262 6178 8791 6195 5269 341 4138 446
24
STATE
Below
Grade
II
Male
Below
Grade
II
Female
Grade
II
Male
NCE/
ACE
Male
NCE/A
CE
Female
Degree
Male
Degree
Female
PG
Male
PG
Female Total
4 44
With respect to teaching experience of the teachers, the aggregate revealed that the length of
service for 17.65 percent of male teachers and 16.86 percent of female teachers was 5-10
years and for 17.75 percent male and 11.71 percent female teachers, it was above 15 years.
Furthermore, there were more female teachers (13.66 percent) with less than 5 years teaching
experience than males (11.14 percent).
4.3 Professional Development Human resources development is one way to ensure that practitioners are abreast of emerging
issues in their areas of practice. Teachers as agents of change should be part of this wind of
change; consequently, they have to be exposed to professional development programmes.
Among the principals who took part in this study, 81.80 percent of them participated in „in-
service training‟ in the past five years, while 15.20 percent did not. The programmes that
these principals have attended within the last five years as presented in Figure 4.2 shows that
57.8 percent attended conferences/seminars/workshops/cluster training while 23.8 percent
were involved in in-service training.
Figure 4.2: Type of Training Attended in the Past Five Years by Principals
On the teachers‟ part, 29.6 percent of the principals reported that none of the teachers
attended any workshops/trainings in the past five years. However, 53.1 percent attended
between 1 to 10 workshops/trainings, 15.5 percent attended between 11 to 20 and 2.0 percent
attended between 25 to 60 workshops/trainings in the past five years. The various
professional training as contained in Figure 4.3 were attended by less than 48.0 percent of the
teachers. The training most patronised was teaching subject method (47.7 percent), followed
by classroom management (45.4 percent), Guidance and Counselling (35.1 percent),
computer training (31.9 percent) and improvisation of instructional materials (28.9 percent).
Library training (4.70 percent) and World Bank/ UBE sponsored Teachers Professional
Support (11.10 percent) were the least attended.
No response
Others
School-based teacher Professional support
Short Term courses
Conferences/Seminars/Workshops/Clust…In-Service Training (NCE, Degree, PG)
14.4
2.1
1.3
0.6
57.8
23.8
Percent
25
Figure 4.3: Workshop/Training Attended by Teachers in the Past Five Years
Among the teachers, 52.2 percent indicated that they have not attended in-service training in
the past 5 years, while 47.8 percent have. The training courses attended are presented in
Figure 4.4 with 45.5 percent of the teachers indicating that they have attended
conference/seminar/workshop in the past 3 years as part of professional development, while
31 percent have attended in-service training.
Figure 4.4: Training Courses Attended in the Past 3 Years by Teachers
About 54 percent of the teachers indicated that they received salary and other entitlements
during in-service training, while 46 percent did not.
4.4: School Discipline and Climate Without discipline in the school, order may not prevail and without order, the core business
of the school which is learning cannot take place. Principals as the managers in school should
implement disciplinary policies to minimise chaos in the school. Among the schools, 52.9
percent had no disciplinary cases involving learners. The range of disciplinary cases was
from one to seven; 32.80 percent had seven (7) cases. The predominant disciplinary case
0
5
10
15
20
25
30
35
40
45
50 45.4
28.9
35.1
47.7
11.1
4.7
31.9
Pe
rce
nt
26
reported by the teachers in Figure 4.5 were quarrelling and stealing (6.0 percent) with a large
proportion of the respondents not responding to this item.
Figure 4.5: Type of Disciplinary Cases
Good disciplinary practice demands proper documentation of disciplinary measures; 49.70
percent of the principals did not document any disciplinary cases as part of the school
records. However, 13.7 percent, 17.1 percent and 11.1 percent of the principals documented
one, two and ten cases respectively. Effectively, 50.3 percent of the principals documented
incidence of disciplinary action. Serious disciplinary problems have to be discussed with the
parents. The results showed that 50.1 percent discussed with the parents and 49.9 percent did
not discuss with the parents. A breakdown of those who discussed with parents showed
among others that 11.60 percent discussed with one (1) parent, 13.50 percent discussed with
three (3) parents and 11.30 percent discussed with ten (10) parents.
4.5: Decision Making Principals are expected to make many decisions as part of their responsibility. These
decisions could be instructional, grouping, testing, and progression among others. In this
section, the freedom teachers have in decision making on some of these issues are considered.
Table 4.2 shows the extent to which principals were free to make decisions on aspects of
school activities. The activity which most principals indicated they have no freedom at all
was selection of topics for teaching (42.8 percent). The activities which large number of the
principals had full freedom in making decisions about were specification of minimum
requirements before learners can progress to the next level (54.0 percent). Others are use of
learners‟ achievement test (49.3 percent), taking disciplinary measures towards correcting
learners (43.2 percent) and amount of homework to be assigned to learners (39.2 percent).
0 10 20 30 40 50 60
No Response
Others
Absenteeism
Lateness
Bulling
Stealing
Pilfering
Quarelling
50.6
28
1.1
1.9
3.4
6
3
6
Percent
27
Table 4.2: Freedom in Decision Making about School Activities by Principals
Issue Fully Some extent Not at all No response
F
percent
F
percent
F
percent
f
percent
Selection of topics
for teaching
125 23.5 139 26.1 228 42.8 41 7.7
Selection of
instructional
materials
166 31.1 227 42.6 110 20.6 30 5.6
Sequence of
instructional
materials
113 21.2 259 48.6 122 22.9 39 7.3
Type of class
organization, (e.g.
small group, large
group and all class)
154 28.9 244 45.8 94 17.6 41 7.7
Use of learners‟ achievement tests
263 49.3 158 29.6 82 15.4 30 5.6
Specification of
Minimum
requirements before
Learners can
progress to the next
level
288 54 119 22.3 99 18.6 27 5.1
Amount of home
work to be assigned
to learners
209 39.2 217 40.7 82 15.4 25 4.7
Extent and type of
reporting to
parents/guardians
172 32.3 309 58 23 4.3 29 5.4
Taking disciplinary
measure towards
correcting learners
230 43.2 201 37.7 75 14.1 27 5.1
Developing or
modifying
infrastructural
facilities
94 17.6 336 63 71 13.3 32 6
Teachers‟ transfers/retention
87 16.3 163 30.6 245 46 38 7.1
In Table 4.3, teachers had freedom to take decision on all issues and majorly on selection of
instructional materials, use of learners‟ achievement, amount of homework to be assigned. The issue on which they had the least freedom was selection of topics for teaching.
28
Table 4.3: Freedom of Teachers in Decision Making
Items
No response
Not free at
all
Fairly free
Very free
f percent f percent f percent f percent
Selection of topics for
teaching 12 1.8 218 31.9 175 25.6 279 40.8
Selection of instructional
materials. 19 2.7 62 9.1 177 25.9 426 62.3
Sequence of learners‟ learning.
46 6.7 81 11.8 240 35.1 317 46.3
Type of class organisation
(e.g.) small group, large
group, all class.
36 5.3 97 14.2 214 31.3 337 49.3
Use of learners‟ achievement tests.
29 4.2 53 7.7 190 27.8 412 60.2
Specification of minimum requirements before
learners can progress to the
next level.
37 5.4 147 21.5 229 33.5 271 39.6
Amount of homework to
be assigned. 19 2.8 46 6.7 161 23.5 458 67
Extent and type of
reporting to parents. 27 3.9 97 14.2 305 44.6 255 37.3
Extent and type of
interaction with parents
(e.g. Parent nights,
Visitation).
21 3.1 151 22.1 275 40.2 237 34.6
Taking disciplinary
measures towards
correcting pupils.
27 3.9 86 12.6 280 40.9 291 42.5
4.6: Job Satisfaction and Morale Satisfaction in anything one does is important. When one is satisfied, the urge to work harder
takes root and consequently, organisational goals are pursued with greater vigour. In this
study, 88.00 percent of the principals reported that they were satisfied with their jobs, 8.3
percent were not satisfied and 3.8 percent did not respond. Satisfaction generally has to be
related to some happenings within the organisation. The things that principals like about their
job are presented in Figure 4.6. From it, the two most important are modelling lives of future
generation/building the nation (12.2 percent) and daily knowledge (11.6 percent). A large
percentage of respondents (49.3) did not respond to this item.
29
Figure 4.6: Things Principals like about their Job
Every coin has its other flip side. Figure 4.6 shows poor/delay in salary (13.10 percent) and
poor working environment (10.10 percent) as things principals do not like about their job.
The omnibus „others‟ was selected by more than 50 percent of the teachers.
Figure 4.6: Things Principals do not like about their Job
The interest, morale and satisfaction of the teachers is also important; 98.8 percent of the
teachers expressed their interest in teaching as a career and 0.9 percent indicated that they do
not like teaching. More than half of the teachers (60 percent) expressed satisfaction with their
teaching job while 37 percent of the teachers had no satisfaction. About 4percent of the
teachers expressed high level of morale, 47.4 percent had average morale, while 11.1 percent
had low morale.
Important factors that were responsible for the high morale of teachers as reported by the
sampled teachers include self-motivation (12.7 percent) and Salary package/Welfare (1.8
percent), adequate instructional materials (0.8 percent) and infrastructural facilities provided
(0.3 percent). Some factors that were responsible for teachers‟ low morale include Irregular
salary/welfare (1.5 percent), and Lack of interest in class work (0.8 percent) while a majority
of the teachers (96.9 percent) did not respond to the item.
0 10 20 30 40 50
MODELING LIVES OF FUTURE GENERATION/…APPRECIATION FROM PARENTS, GOVT & SOCIETY
DAILY KNOWLEDGE/ SKILL ACQUISITION
COOPERATION BY MEMBERS OF STAFF
TIME TO TAKE CARE OF MY FAMILY
MEANS FOR EARNING A LIVING
INSTILLING MORALS TO PUPILS
OTHERS
NO RESPONSE
12.2
3.4
11.6
2.6
5.6
1.3
6.9
49.3
6.9
Percent
0 10 20 30 40 50 60
No response
Others
Attitude of some parents towards pupils'…Indulgence
Lateness
No societal recognition
Poor working environment
Poor/delay in salary
9.8
54.8
2.3
1.1
2.6
6.2
10.1
13.1
Percent
30
4.7: Teaching and Evaluation Practices
Teaching and evaluation practices are important in driving school programmes. Teaching
practices include all activities prior to teaching, during the teaching and post teaching. In this
section instructional materials, evaluation instruments and use of evaluation to diagnose
learners‟ problems are presented. All the instructional materials contained in Figure 4.7
were being used as more than 58 percent of the teachers indicated their use often or rarely
with the exception of audio visual materials (for example, films or tapes) which was
indicated by 31.6 percent as rarely or often used.
Figure 4.7: Use of Instructional Materials by Subject Teachers
Figure 4.8 shows that most of the teachers used Objective tests (63.9 percent), Open ended or
essay type questions (45.8 percent), Oral tests (64.3 percent), Project work or pupils written
reports (64.8 percent), Homework handed in (71.6 percent), and Regular written work during
lessons often. However, the teachers used Tests with both objective and open ended questions
(44.3 percent), and Short quizzes (44.2 percent) rarely.
Figure 4.8: Use of Evaluation Instruments by Subject Teachers
0 20 40 60 80
Others
Audio-Visual materials
Worksheets or sets of materials you…Commercially produced kits or objects
Individualized instruction (eg…Published workbooks
Published textbooks
65.6
11.7
36.1
22.1
32.6
42.7
78.9
4.2
64.9
30.4
37.7
25.6
13.3
2
23.8
19.9
31.1
36.8
38.3
34.5
18
6.3
3.5
2.3
3.4
3.5
3.5
1
Often Rarely Never No response
0 20 40 60 80
Objective tests
Open ended or essay type questions
Oral tests
Tests with both objective and open
Short quizzes
Project work or pupils written…Homework handed in
Regular written work during lessons
1.8
2.5
1.8
2.6
4.1
1.9
1.2
1.6
4.4
13.6
4.8
9.9
25.3
6
4.2
6.9
30
38.2
29.1
44.3
44.2
27.3
23
29.5
63.9
45.8
64.3
43.1
26.5
64.8
71.6
62
Percent
Often Rarely Never No response
31
Learning problems often hinder further learning. Evaluation techniques are normally used in
diagnosing such problems if the learners are to be helped. From Table 4.5 it is noticed that
most of the teachers used Objective tests (62.7 percent), Open ended or essay type questions
(45.8 percent), Oral tests (57.6 percent), Project work or pupils written reports (62.1 percent),
and Homework handed in (60.2 percent) often. However, the teachers rarely used Tests with
both objective and open ended questions (41.2 percent), and Short quizzes (40.8 percent). It is
observed that teachers never used regular written work during lessons (58.6 percent).
Table 4.5: Use of Evaluation Techniques for Diagnosing Learners’ Weakness by
Teachers
Type of test
NO
RESPONSE NEVER RARELY OFTEN
f percent f percent f percent f percent
Objective tests 15 2.2 37 5.4 203 29.7 429 62.7
Open ended or essay type
questions 22 3.2 102 14.9 243 35.5 313 45.8
Oral tests 22 3.2 54 7.9 214 31.3 394 57.6
Tests with both objective
and open ended
question(a) 28 4.1 116 17 282 41.2 258 37.7
Short quizzes 28 4.1 174 25.4 279 40.8 203 29.7
Project work or pupils
written reports 23 3.4 57 8.3 179 26.2 425 62.1
Homework handed in 76 11.1 61 8.9 135 19.7 412 60.2
Regular written work
during lessons 21 3.1 401 58.6 171 25 91 13.3
4.8: Teacher Needs During training, teachers are exposed to theory and practice of education. They cannot all
equally possess the knowledge and skills required to perform their duties and even if they do,
new developments require continuous updating. Teachers‟ needs in instructional activities,
management practices, extra curricula activities and instructional materials and evaluation are
presented. In Table 4.6, it is observed that the subject teachers did not need help in all the
instructional activities except that they needed some help or much help in Identifying
appropriate teaching activities (36.8 percent), developing techniques for teaching in large
classes (38.9 percent) and overcoming difficulties encountered in providing excursions
outside the classroom (42.4 percent).
Table 4.6: Help Needed by Teachers in Instructional Activities
32
Instructional Activities NO
RESPONSE
NO HELP SOME HELP MUCH
HELP
f perce
nt
f percent f percent f percent
Writing performance Objective 1 2 1.8 459 67.1 146 21.3 6 7 9.8
Determining what to teach i.e. content 1 1 1.6 413 60.4 174 25.4 8 6 12.6
Identifying appropriate teaching
activities
1 5 2.2 252 36.8 252 36.8 165 24.1
Securing or improvising appropriate
teaching/learning materials
9 1.3 448 65.5 152 22.2 7 5 1 1
Carrying out Continuous Assessment 1 5 2.2 400 58.5 188 27.5 8 1 11.8
Identifying appropriate evaluation
techniques
1 4 2 248 36.3 238 34.8 184 26.9
Organising resources and materials for
more effective teaching
1 5 2.2 424 6 2 154 22.5 9 1 13.3
Presenting lessons at the level of
learner‟s understanding
1 1 1.6 382 55.8 211 30.8 8 0 11.7
Demonstrating principles by
performing simple
experiments/demonstrations
9 1.3 479 7 0 120 17.5 7 6 11.1
Developing daily lesson notes 1 2 1.8 386 56.4 197 28.8 8 9 1 3
Teaching learners how to observe,
record, organise, generalise, predict,
etc.
1 1 1.6 403 58.9 195 28.5 7 5 1 1
Obtaining learners feedback for the
purpose of improving instructions
1 4 2 419 61.3 176 25.7 7 5 1 1
Presenting lessons so that learners
could discover facts themselves
1 3 1.9 368 53.8 215 31.4 .8 8 12.9
Developing in learners a mastery of
content and skills
1 3 1.9 330 48.2 242 35.4 9 9 14.5
Developing in learners effective study
habits
1 5 2.1 336 49.1 228 33.3 105 15.4
Developing in learners the ability to
relate content of learning to everyday
life
1 2 1.8 291 42.5 240 35.1 141 20.6
Developing techniques for teaching in 1 8 2.6 174 25.4 266 38.9 226 3 3
33
large classes
Overcoming Difficulties encountered
in providing excursions outside the
classroom
1 2 1.8 200 29.2 290 42.4 182 26.6
Obtaining information on where to get
help for teaching and learning
4 1 6 352 51.5 177 25.9 114 16.7
Making learning meaningful and
interesting to learners
1 0 1.5 499 7 3 115 16.8 6 0 8.8
From Figure 4.9, it is observed that the subject teachers did not need help in almost all the
management practices. However, the teachers needed some help or much help in making
constructive use of time (39.2 percent), and controlling their personal behaviours which could
distract learners‟ attention (46.1 percent).
Figure 4.9: Help Needed by Teachers in Management Practices
From Figure 9.10, it is observed that the subject teachers needed some help or much help in
encouraging learners to participate in activities (42.7 percent), organising out-of-school
activities on the basis of learners‟ interests (45 percent), and organising out-of-school
activities on the basis of learners‟ abilities (44. 9 percent). However, the teachers did not
need help in developing in learners on appreciation of co-curricular activities.
0 10 20 30 40 50 60 70 80
ontrolling the class effectively.
Managing learners distractive behaviours.
Maintaining discipline in the class.
Planning a schedule of activities on
Planning a schedule of activities on
Setting and ordering priorities.
Making constructive use of time.
Managing learners with health problems.
1.2
1
1.2
1.8
2
0.9
1.2
1.6
1.5
1.5
64.3
71.8
64.6
59.8
69.2
72.7
35.5
28.9
44.9
43.4
26.2
18.3
25.9
29.5
20.5
17
39.2
46.1
39.5
41.8
8.3
8.9
8.3
8.9
8.3
9.5
24.1
23.4
14.2
13.3
Percent
MUCH HELP SOME HELP NO HELP NO RESPONSE
34
Figure 4.10: Help Needed by Teachers in Co-curricular Activities
From Figure 4.11, it is observed that the subject teachers did not need help in almost all the
instructional materials and evaluation practices. However, the teachers needed some help or
much help in increasing learners‟ abilities to utilize the library (41.7 percent).
Figure 4.11: Help Needed by Teachers in Instructional Materials and Evaluation
Practices
4.9: Learners' Problems Reporting The problems identified by the teachers as common in schools are presented in Figure 4.12.
The five most important pressing problems frequently encountered by the classroom teachers
were Lack of instructional materials (21.4 percent), Learners‟ lack of interest in class/school
0 10 20 30 40 50 60
NO RESPONSE
NO HELP
SOME HELP
MUCH HELP
1.2
55.1
31.9
11.8
1.3
29.5
42.7
26.5
1.3
24.9
45
28.8
1.6
17.3
36.3
44.9
Percent
Organising out-of-school activities on the basis of learners abilities
Organising out-of-school activities on the basis of learners interests
Encouraging learners to participate in activities.
Developing in learners an appreciation of co-curricula activities.
0 20 40 60 80 100
Utilising textual materials..
Utilising the library.
Obtaining living things for classroom use.
Interpreting the result of standardized test.
Evaluating learners’ progress as a group. Reporting learners’ progress
1.5
1.3
1.5
1.3
1.6
1.3
1.8
2
1.8
1.9
1.3
6
2.2
2
1.9
1.8
0.4
40.4
39.5
38.6
21.3
42.1
47.5
38.2
49.1
55.1
57.9
63
55.1
59.4
51.5
55.8
57.5
83.3
32.7
28.2
32.9
35.7
31.7
30.8
36.8
32
30.4
27.6
24
26.2
26.9
29.5
27.3
26.6
11.5
25.4
31
27
41.7
24.6
20.3
23.2
16.8
12.7
12.6
11.7
12.7
11.5
17
14.9
14.2
4.7
MUCH HELP SOME HELP NO HELP NO RESPONSE
35
(14.7 percent), Lack of basic infrastructure (14.6 percent), Stealing habits among learners
(9.1 percent), and Truancy/Absenteeism among learners (6.3 percent).
Figure 4.12: Problems Encountered as Classroom Teacher
From Figure 4.13, the three most important pressing problems encountered by the teachers
with learners were Lateness to school (39.5 percent), Truancy/Absenteeism (33.5 percent),
and Learners‟ lack of interest in class/school (12.4 percent).
Figure 4.13: Problems Teachers Encounter with Student
Observations and Challenges
1. A large number of the teachers were professionally qualified and however some plans
should be put in place to retrain those who lack teacher training. The fact that a large
proportion of the principals are ageing and getting close to the age of retirement would
not pose a serious issue as the teachers who are trained could eventually serve as
replacement.
2. As a substantial number of teachers (23.9 percent) possess qualifications below the
minimum prescribed for teaching.
0 5 10 15 20 25
LACK OF BASIC INFRASTRUCTURE,…LACK OF INSTRUCTIONAL MATERIALS
DIRTINESS/UNTIDINESS
TRUANCY/ABSENTEEISM
LACK OF INTEREST IN CLASS WORK
POOR SALARY STRUCTURE/WELFARE
No response
14.6 4.4
21.4 1.7
3 5.2
6.3 4.9
14.7 2.5
9 9.1
3.2
Percent
0 10 20 30 40
LATENESS
TRUANCY/ABSENTEEISM
BULLYING
LACK OF INTEREST IN CLASS WORK
DIRTINESS/UNTIDINESS
FIGHTING
STEALING
OTHERS
NO RESPONSE
39.5
33.5
4.8
12.4
2.9
1.6
0.3
1.6
3.4
Percent
Series1
36
3. The participation of principals in development programmes was high. This could have
been because of the mandatory training rendered by the All Nigeria Confederation of
Secondary School Principals. Such programme ensures that principals keep abreast of
developments that can enhance good management practices.
4. The training attended by a large number of teachers included among others teaching
methods and classroom management. This is good for the system as the teacher in most
cases have to manage classes as well as apply pedagogical principles in teaching
5. Quarrelling and stealing are two major disciplinary problems that emerged from this
study. These are social problems which can easily be managed. Discussion of disciplinary
problems by about 50 percent of the principals with parents is an acceptable practice. In
this way, the home and school cooperation can be engendered.
6. Principals and teachers had limited freedom in selecting what to teach. This situation
could have arose because school clusters particularly across states teach using the same
scheme as they have to administer the same examination on termly basis. Failure to do
this can have a deleterious effect on their learners.
7. Almost all principals were satisfied with their job as molding future of the child is of
greatest importance to them. This can lead to enhanced interest in the job of the principal.
They however are not happy with delay in getting monthly emoluments and the poor
working environment. These factors are important in enhancing the motivation of
workers. The fact that almost all teachers indicated a positive disposition towards
teaching can promote commitment and effectiveness on the part of the teachers. The
consequence would be improved learning on the part of the learners. The morale and job
satisfaction levels are welcomed development as it can trigger greater learners‟ achievement.
8. Teachers used almost all instructional materials in most cases with the exception of
audio-visual materials which could be as a result of the cost involved. Not using regular
written work during lessons by the teachers as noticed here would not augur well for
teaching and learning.
9. Teachers indicated that they needed help in developing techniques for teaching in large
classes and overcoming difficulties encountered in providing excursions outside the
classroom. This has implications for teacher development as population in schools is
growing steadily. This is more so as the teachers needed some help or much help in
making constructive use of time and controlling their personal behaviours which could
distract learners‟ attention. 10. The major problem encountered by classroom teachers relates to provision of materials
with which to work. This has implications on judicious utilisation of funds budgeted for
education.
11. Lateness as a problem with the learners can emanate from distance from home to school
or truancy which can be managed through proper supervision of the learners and greater
cooperation between the home and the school.
37
Chapter Five
The School and the Community
Introduction In this chapter the school and the community are considered. The information contained
herein were pooled from responses provided by the learners, teachers, parents and the
principals. The focus is on two main aspects though subdivisions that have been provided:
and the learner lives within the community and commutes from there to the school. The
school is located within the community. For the school to discharge its responsibilities
effectively the community needs to provide some assistance. The school as part of its service
delivery has to schedule activities; the community works cooperatively with the school
through provision of facilities to facilitate the schools‟ service provision. This chapter looks at the interaction between the schools‟ provisions and how the community helps to eventuate it.
5.1. The School in Perspective In this study, 533 schools were involved with 53.10 percent of them serving the urban
community while 44.8 percent served the rural community; 89.3 percent provided secondary
education only, 6 percent provided both secondary and primary education and 4.5 percent
provided pre-primary, primary and secondary education. An issue which has been of concern
in schools is the paucity of accommodation for the growing population of learners which has
resulted in the inability of the available classrooms to accommodate the learners. The shift
system has been a welcome development in this regard. Among the schools, 76.50 percent
ran morning shift only, 15.80 percent ran morning and afternoon, while 7.30 percent ran
afternoon shift only as depicted in Figure 5.1.
Figure 5.1: Shift System Run in School
5.2: Parents Relationship with the School A good relationship between the home and the school provides great cooperation for realising
the goals of the school and the home. One way in which this cooperation can be fostered is
through the PTA. It is a forum where pressing issues on how to move the school forward are
0 20 40 60 80
No response
Morning and afternoon
Afternoon only
Morning only
0.4
15.4
7.3
76.5
Percent
38
discussed; discipline problems and support for the school are also sought through the PTA. It
is expected that all schools should have one; 93.1 percent of the schools actually have PTAs,
2.6 percent do not have and 4.3 percent of principals did not respond to this item. The
regularity of meetings of the PTA as shown in Figure 5.2 indicates that PTA meets as the
need arises in 46.90 percent of the schools, while it meets in 32.30 percent of the schools
termly. The PTA also meets monthly, quarterly and yearly in less than 5percent of the
schools.
Figure 5.2: Frequency of PTA Meetings
The results indicated that 7.6 percent of parents have never attended PTA meeting at all, 43.6
percent have attended PTA meeting very often and 35.1 percent attended often. In Figure 5.3,
about 46 percent of the subject teachers sometimes invited parents to discuss learners‟ progress, while about 34 percent of the teachers often invited the parents for the same
purpose. Thus, the needed home-school interaction is not ignored by these teachers.
Figure 5.3: Invitation of Parents to Discuss Learners’ Progress
0 10 20 30 40 50
No response
Once a year
Twice a year
Termly
Quarterly
Monthly
As need arises
3.9
2.4
5.4
32.3
5.8
3.2
46.9
Percent
0
10
20
30
40
50
No
response
Never Rarely Sometimes Often
1.5 6.7
12.1
46.1
33.6
Pe
rce
nt
39
It is not only parents that have to visit the school; teachers also have to. Majority of the
subject teachers sometimes (48.1 percent), and often (15.8 percent) visited parents to discuss
learners‟ matter, 18.6 percent rarely and 15.9 percent of the subjects teachers never visited
parents for the same purpose as presented in Figure 5.4.
Figure 5.4: Subject Teachers Visit to Parents
With respect to visit to schools by parents as contained in Figure 5.4, 3.8 percent have never
visited the school, 56.2 percent visited sometimes and 31.8 percent visited very often.
5.3: Parental Support of the School It is not enough for parents to attend PTA meetings and to visit schools; the school may have
some needs to be met. These needs could be in the areas of finances, provision of
instructional materials, provision of security and even in meeting of teachers‟ welfare. Figure 5.5 shows that assistance was rendered by more than 50 percent of the parents to schools in
the areas of finance, instructional materials, security, co-curricular activities and teachers‟ welfare. Assistance with respect to buildings was very minimal.
Figure 5.5: Level of Assistance Rendered by Parents to School
0
5
10
15
20
25
30
35
40
14.3
19.1
28
23.1 18.5
21.6
6 9.5 11.2 11.4 9.6 10.1 8.4
12.3 12.4 11.5 11.6 11.6
37.5
30.8 26.2 25.8
31.6 30 33.9
28.3
22.3
28.2 28.7 26.7
Pe
rce
nt
NEVER NO RESPONSE RARELY SOMETIMES VERY OFTEN
NO RESPONSENEVER
RARELYSOMETIMES
OFTEN
1.6
15.9 18.6
48.1
15.8
40
One way the school can sustain itself is through collection of fees/levies. In situations where
free education at this level is not in place, it enables the school to realise some money to meet
its needs. Figure 5.6 shows that nearly 78 percent parents indicated that they regularly paid
fees or levies while 4 percent never paid fees or levies at all.
Figure 5.6: Chart of Levies and Fees Payment by Parents
Majority of the parents, 53.1 percent, as contained in Figure 5.7 indicated that the relationship
between schools and the community was excellent, 31.9 percent and 12.5 percent indicated
that it was very good and good respectively while 1.3 percent saw the relationship as poor.
Figure 5.7: Relationship between the School and the Community
0
10
20
30
40
50
60
70
80
Regularly Sometimes Rarely Never No response
77.6
14.3
2.9 4 1.1
Pe
rce
nt
0
10
20
30
40
50
60
Excellent Very Good Good Poor No
Response
53.1
31.9
12.5
1.3 1.2
Pe
rce
nt
41
5.4: School Fence and Security Provision Security is of essence in schools so as to protect life and non-human resources. Out of all the
schools, 26.6 percent of them were fenced and 70.40 percent were not fenced. The type of
fence used across the schools presented in Figure 5.8 shows that Cement block fence was the
type mostly used as reported by 22.70 percent of the school. Other types of fence were
reported by 40 percent of the schools while 29.6 percent did not respond.
Figure 5.8: Type of Fence
Among the schools, 75.4 percent of them have security personnel while 20.8 percent did not.
The others did not respond. Local persons employed by the school/PTA were the security
personnel engaged by 34.90 percent of the schools, 32.50 percent engaged private security
outfit employed by the school/PTA/Government while other types of security not specified
were employed by 16.70 percent of the schools as presented in Figure 5.9.
Figure 5.9: Type of Security Engaged by School
0
5
10
15
20
25
30
35
40
29.6
40
22.7
0.9 0.6 0.6 1.7 3.2
0.8
Pe
rce
nt
0 5 10 15 20 25 30 35
LOCAL PERSONS EMPLOYED BY THE…COMMUNITY VIGILANTE
POLICE
PRIVATE SECURITY OUTFIT EMPLOYED…PEACE CORPS
OTHERS
NO RESPONSE
34.9
5.4
1.5
32.5
0.2
8.8
16.7
Percent
42
5.5: School Community Relations A school is located within a community and it is expected to support it. There is usually a
reciprocal relationship between the school and the community in which it is situated. The
school draws its students from the community and the students return to the community as
future leaders who have been well prepared by the school. This helping role can be facilitated
by the cordial relationship that is built by the teachers and principal in their interaction with
members of the community. In this study, 45 percent of principals live within the community
as against 52.9 percent who do not. Among the teachers only 16.9 percent do not live within
the community while others do.
With respect to assistance rendered by the community, 64 percent indicated that this was
rendered as against 34.3 percent who stated that the community does not; 1.7 percent did not
respond to this item. The type of assistance rendered to the school as contained in Figure 5.10
indicated that 68.1 percent was in the area of security, 27.6 percent in the provision of land
and auxiliary teachers (15.8 percent).
Figure 5.10: Types of Assistance Rendered to School
Attitude is an important driving force in things which are done in any situation. Therefore, it
is important to examine the attitude of the community towards aspects of the schools
operations. As presented in Figure 5.11, the attitude of the community towards aspects of the
school varied. Attitude to teaching/learning was positive (62.7 percent), attitude towards
learners‟ problems and concerns, school activities and teachers was positive in 60.4 percent,
54.8 percent and 52.0 percent of cases respectively.
0
10
20
30
40
50
60
70
6.8
15.8
7.1 11.8 9.2
27.6
68.1
Pe
rce
nt
43
Figure 5.11: Community Attitude towards Aspect of Schooling
5.6 The School Compound and Buildings A school should be one in which the learner is encouraged and willing to be in. As such, it
should be inviting and friendly and must provide an ambience that motivates the learner. At
the heart of this are buildings and the surroundings with a play field suitable for organising
sports and games. As the population increases, there should be room for further development.
Apart from this, the school should be well located and security of the learners and its
properties can be guaranteed. Under such circumstances, parents can be encouraged to enroll
their children in the school.
Table 5.1 provides a description of the school compound with 71.3 percent of principals
indicating excellence with respect to the appropriateness of the school compound in terms of
being „well defined, secured from encroachment and large enough for buildings, playgrounds
and gardens‟. It is only in 23.6 percent of the schools that the compounds are assessed as
small without room for expansion and without defined play fields and gardens. With respect
to the buildings, 19 percent of the schools had no issues with cracks, roofs were securely in
position and doors/ window shutters were available and securely in position. Few cracks were
noticed in 46 percent of the schools and heavy cracks available in 28.1 percent of the schools.
The compound of 40.90 percent of schools were free from erosion problems, 46.20 percent of
the compounds had evidence of erosion problems, 8.10 percent had serious erosion problems
and 4.90 percent of the principals did not respond.
Table 5.1: Description of School Compound
ITEM Frequency percent
Well defined, secured from encroachment and large enough for
buildings, playgrounds and gardens 380 71.3
Small school compound, little or no extra land for expansion 105 19.7
Extremely small compound with no defined play field or
gardens 21 3.9
No Response 27 5.1
Total 533 100
0
10
20
30
40
50
60
70 62.7
26.8
54.8 60.4
52 42.6
21.4
45.4
26.1 29.5 28.7 25.9
12.4
22.9 14.8
5.1
14.8
27.6
3.6 4.9 4.3 5.1 4.5 3.9
Pe
rce
nt
Positive Neutral Negative No Response
44
5.7: Learners’ Enrolment, Dropout and Repeaters The data indicated that at the national level, female learners‟ enrolment (52.71 percent) was
higher than that of male learners (47.29 percent). The enrolment figures per state indicated
that there was near parity between male and female learners in five (5) States (Akwa-Ibom,
Borno, Kaduna, Osun, and Plateau) and the FCT. Female learners had higher enrolment in ten
(10) states (Abia, Anambra, Bauchi, Bayelsa, Ebonyi, Kogi, Kwara, Lagos, Nasarawa, and
Oyo), while, the male learners had higher enrolment in the remaining 21 states. More male
learners (5.4 percent) dropped out of school than the female learners with 2.7 percent dropout
rate. The variation in dropout and repeating rates are presented in Figure 5.12 with Zamfara
and Rivers states showing abysmally high dropout rates of 52.37 percent and 35.37 percent
respectively.
Figure 5.12: Repeaters and Dropout Rates across States
0 10 20 30 40 50 60
ABIA
AKWA-IBOM
BAUCHI
BENUE
CROSS-RIVER
EBONYI
EKITI
FCT-ABUJA
IMO
KADUNA
KATSINA
KOGI
LAGOS
NIGER
ONDO
OYO
RIVERS
TARABA
ZAMFARA
5.9
5.3
8.2
2.8
13.2
2.6
1.9
11.1
4.5
11.2
5.2
2.9
5.4
1.9
2.3
1.8
2.9
1.9
2.2
1.7
3.2
2.3
2.9
5.6
3.6
4.6
0.5
0.9
1.7
8.1
4.6
5.5
35
4
5.1
1.5
52.4
2.3
6.1
7.4
3.7
0.5
6
5.6
1.7
5.2
2.5
3.9
4.1
5.1
5.6
2.6
2.8
1.9
4.7
3.1
2.2
3
5.4
3.9
4.5
10
3.5
5.4
2.7
6
2.8
7.1
5.1
4.5
2.9
6.7
2
1.8
Percent
Repeaters Dropout
45
The reasons for dropping out of school as indicated in Figure 5.13 are poverty (15.20
percent), lack of parental care (12.40 percent), change of accommodation (4.60 percent), lack
of interest in School (3.70 percent) and transfer of parents (3.70 percent) as adduced by the
principals. „Other‟ reasons not specified constituted 12.7 percent of the reasons. Principals
who did not respond to this item were 36.2 percent.
Figure 5.13: Reasons for Learners’ Dropping Out of School
5.8: Classroom Spaces and Open Classrooms Learners learn in classrooms and when these are in short supply, teaching and learning can be
carried out in open spaces otherwise called open classrooms. Even when classes are in
abundance, teaching can also take place in open classrooms particularly for subjects which
involve the study of the environment. In such situations, the teachers are able to provide
opportunities for learners to have a feel of what exists outside the conventional classrooms.
The proportion of classrooms was 82.5 percent while that of open classrooms was 17. 5
percent. The variation across states as shown in Figure 5.14 indicates that states like Edo,
Kogi, Osun and Bayelsa had no open spaces. Almost all the states with the exception of
Bauchi had more than 70 percent of classrooms.
0 5 10 15 20 25 30 35 40
LACK OF PARENTAL CARE
LACK OF INSTRUCTIONAL MATERIALS
POVERTY
PUPIL POOR ACADEMIC PERFORMANCE
LACK OF INTEREST
EARLY MARRIAGE
LACK OF MOTIVATION/ COMPETITION
POOR ORIENTATION ABOUT SCHOOL -…INAPPROPRIATE SCHOOL UNIFORM
CHANGE OF ACCOMMODATION
FARMING
TRANSFER OF PARENTS
ISLAMIYYA SCHOOL
HEALTH PROBLEM
PARENTAL DEATH
BROKEN HOME
INADEQUATE TEACHER
OTHERS
NO RESPONSE
12.4
3.5
15.2
2
3.7
1.2
0.9
1.4
0.2
4.6
0.4
3.7
0.2
0.1
0.1
0.4
1.3
12.7
36.2
Percent
46
Figure 5.14: Distribution of Classroom Spaces and Open Spaces by States
5.9: Facilities in Schools Apart from human resources, facilities are used by schools to eventuate effective teaching
and learning. These facilities are varied and their number and adequacy are germane to
teaching effectiveness. Laboratories need to be available in schools and so are sports facilities
and the library. This section takes a look at the facilities which are available in schools with
respect to numbers and their condition.
In most schools, science and mathematics laboratories were either grossly inadequate or
unavailable. Libraries were available and adequate in only very few schools (28.10 percent),
ICT was hardly any better.
0 20 40 60 80 100
ABIA
AKWA-IBOM
BAUCHI
BENUE
CROSS-RIVER
EBONYI
EKITI
FCT-ABUJA
IMO
KADUNA
KATSINA
KOGI
LAGOS
NIGER
ONDO
OYO
RIVERS
TARABA
ZAMFARA
90.6
70.4
92.5
88.9
61.8
100
75
86.7
91.9
86.8
86.2
100
68.3
75
92.6
88.2
88.9
73.3
92.9
83.7
90.5
75
100
70.9
94.2
77.8
96.3
84.1
76.5
100
97.6
81.7
76.8
82
86.2
80
70.9
9.4
29.6
7.5
11.1
38.2
0
25
13.3
8.1
13.2
13.8
0
31.7
25
7.4
11.8
11.1
26.7
7.1
16.3
9.5
25
0
29.1
5.8
22.2
3.7
15.9
23.5
0
2.4
18.3
23.2
18
13.8
20
29.1
Percent
Open spaces Classroom spaces
47
Figure 5.15: Condition of some Facilities in Schools
The reasons for the condition of the lockable storage space were availability of materials
(9.80 percent), inadequate facilities/equipment (9.80 percent) and in good use (3.20 percent),
while 66.80 percent did not respond. These were in addition to security (0.2 percent) and
dilapidated facilities (0.8 percent).Reasons adduced by the schools for the condition of their
gardens/farms were inadequate facilities/equipment (13.9 percent), inadequate funding (9.6
percent), in good use (4.90 percent) and security (1.1 percent), while 70.0 percent of the
schools did not respond.
Among the principals, 90.8 percent of the schools did not respond to the item on reasons for
condition of the weather station. However, 8.60 percent of the Schools gave inadequate
facilities/equipment as reason for the condition of the weather station, while 0.2 percent of
the principals indicated each of inadequate funding, in good use and lack of infrastructure as
reasons. With respect to the condition of the staff room, inadequate facilities/equipment was
the reason adduced by 22.5 percent of the principals, in good use by 2.6 percent, dilapidated
infrastructure by 0.2 percent, while 74.7 percent did not respond.
The distribution of teachers‟ furniture as presented in Figure 5.16, shows that 42.6 percent of
principals indicated that their schools had no furniture; 36.4 percent had 1 to 10 furniture, 3.9
percent had 20-30 and 4.7 percent had 31 furniture and above. It is instructive to note that a
principal indicated that the school had 228 and two indicated that their schools had 139
furniture.
0 10 20 30 40 50 60 70
Staff room
Weather Station
School garden/farm
Lockable storage space
26.8
13.7
28.2
20.1
35.3
17.8
22.5
22.5
37.9
68.5
49.3
57.4
Percent
No response Not Appropriate Appropriate
48
Figure 5.16: Distribution of Furniture
The condition of the teachers‟ furniture was described by 34.10 percent of the principals as
appropriate, 40.30 percent as not appropriate, while 25.50 percent did not respond.
Inadequate facilities/equipment was the reason given by 26.6 percent of the principals for the
condition of the teachers‟ furniture, 11.1 percent and 11.6 percent gave dilapidated
infrastructure and in good use respectively as reasons, 0.6 percent and 0.2 percent gave
inadequate funding and poor maintenance respectively, while 49.9 percent did not respond.
The condition of the learners‟ furniture was reported by 22.90 percent of the principals as
appropriate while 49.90 percent describe them as not appropriate; 27.2 percent however did
not respond. Reasons for the condition of learners‟ furniture were given by 28.1percent of the
principals as inadequate facilities/equipment, 10.9 percent as in good use and 0.2percent each
as dilapidated infrastructure and inadequate funding, while 60.6percent did not respond.
With respect to available Auditorium or hall, 55.2 percent of the schools had no
auditorium/halls, 31.3 percent had one auditorium/hall, while 13.6 percent had more than one
auditorium/hall. The condition of the auditorium/hall was described by 19.7 percent of the
principals as appropriate, 28.7 percent as not appropriate, while 51.6 percent did not respond.
The number of classrooms (at 40 learners per class) a school had was such that 53.5 percent
of the principals reported they had none, 34.8 percent reported they had between 1-10 such
classrooms, 7.8 percent indicated they had between 11-20, while 4.6percent had more than 20
classrooms. On the condition of the classrooms (at 40 Learners per class), 12.6 percent saw
them as appropriate, 47.10 percent indicated that they were not appropriate, while 40.30
percent did not respond.
Administrative blocks were not available in 61.2 percent of the schools, 34.0 percent had one
(1) while 4.9 percent had more than one block. The condition of the administrative block is
described by 23.50 percent of the principals as appropriate, 40.00 percent as not appropriate,
while 36.60 percent did not respond.
0 10 20 30 40 50
31 and above
21 to 30
11 to 20
1 to 10
None
4.7
3.9
12.9
36.4
42.6
Percent
Nu
mb
er
49
5.10: The Child Friendly School Environment The school environment in this context entails where learning takes place in a formal setting.
It encompasses the school being safe and secure, free from violence and affords children an
opportunity to take responsibility for their learning and promotes healthy lifestyle and life
skills. Within such an environment, there is safe water, sanitation facilities and curriculum
provisions. Some of these issues are examined in this section of the report. With respect to
availability of toilet facilities, 63.30 percent of the schools had toilet while 32.30 percent did
not have; 5.40 percent did not respond. The breakdown of number of different types of toilets
are presented in Tables 5.2 and 5.3 for learners and teachers respectively. The results indicate
a great shortage of toilets of all types for the teachers and learners. Among the schools, 94.2
percent of the schools did not have bucket system toilet for male learners, 3.6 percent had
one, while 2.30 percent had between 2- 6. Similarly, 94.6 percent of the schools did not have
the bucket system toilet for female learners, 3.6 percent had one, while 1.90 percent had
between 2- 6. For normal pit toilets, 79. 9 percent of the schools did not have any for the male
learners, 10.5 percent had one, while 9.6 percent had 6 or more of such toilets. Similarly, 80.9
percent of the schools did not have normal pit toilets for female learners, 11.3 percent had
one, while 8.0 percent had 6 or more of such toilets for female learners.
Table 5.2: Number of Toilets for Learners
Number
of toilets
Bucket system Normal pit
Male Female Male Female
f percent f percent f percent f percent
0 502 94.2 504 94.6 436 79.9 431 80.9
1 19 3.6 19 3.6 56 10.5 60 11.3
2 8 1.5 8 1.5 29 5.4 27 5.1
3 3 0.6 1 0.2 7 7.3 6 1.1
4 = = = = 5 0.9 4 0.8
5 = = = = 2 0.4 = =
≥6 1 0.2 1 0.2 8 1.6 5 1.0
Total 533 100 533 100 533 100 533 100
From Table 5.4, the responses reveal that 85.2 percent of the schools did not have normal pit
toilets for male teachers, 9.2 percent and 3.2 percent had 1 and 2 of those toilets respectively,
while 2.5 percent had 6 or more of such toilets. On the number of normal pit toilets available
for female teachers, 87.4 percent of the schools did not have any. The situation for other
types of toilets was not better.
Table 5.3: Toilets for Teachers
Number
of toilets
Normal pit VIP Others
Male Female Male Female Male Female
f perc
ent f percent f
perc
ent f
perc
ent F
perc
ent f percent
0 454 85.2 466 87.4 421 79 425 80.3 453 85 514 96.4
1 49 9.2 48 9 30 5.6 86 16.1 14 0.6 13 2.4
2 17 3.2 14 2.6 61 11.4 13 2.4 4 0.8 = =
50
3 5 0.9 1 0.2 7 1.3 2 0.4 3 0.6 = =
4 3 0.6 1 0.2 5 0.9 1 0.2 1 0.2 = =
5 2 0.4 1 0.2 4 0.8 = = = = = =
≥6 3 0.6 2 0.4 5 1.0 3 0.6 58 10 6 1.1
Total 533 100 533 100 533 100 533 100
Curriculum Materials
Curriculum materials are used by the teachers for effective teaching. Among these are the
national curriculum, curriculum modules, diary, scheme of work, teachers‟ guide and the syllabus. The availability of these materials as presented in Figure 5.17 shows that teachers
Guide, syllabus and curriculum modules were not available in 62.1 percent, 49 percent and
40.7 percent of the schools. One to ten copies of the national curriculum, scheme of work,
diary and teachers‟ guide were available in 44.3 percent, 44.3 percent, 34.8 percent and 23.6
percent of the schools.
Figure 5.17: Available Curriculum Materials in Schools
The quality of the curriculum materials as contained in Figure 5.18 that with the exception of
the syllabus all other materials were assessed as good by more than 65 percent of the
principals. The quality of the scheme of work was best rated while that of the syllabus was
least. The no response varied from 14.6 percent (scheme of work) to 26.1 percent (syllabus).
0 10 20 30 40 50 60 70
Syllabus
Teachers' Guide
Scheme of Work
Diary
Curriculum Modules
National Curriculum
49
62.1
25.9
37.3
40.7
28.5
39.2
23.6
44.3
34.8
27.9
44.3
8.4
10
24.6
22.3
9.2
9.7
1.8
3.2
3.3
3
1.2
3.8
2.1
1.4
2.1
3.1
21.2
10.7
Percent
≥41 21 to 40 11 to 20 1 to 10 0
51
Figure 5.18: Quality of the Curriculum Materials
With respect to adequacy of the curriculum materials as presented in Figure 5.19, adequacy
level of the curriculum materials was least for syllabus (26.1 percent) and highest for scheme
of work (43.9 percent). It is observed that all of the curriculum materials were assessed as
adequate by less than 50 percent of the principals. The no response rate on the curriculum
varied from 24.4 percent for scheme of work to 34.1 percent for curriculum modules.
Figure 5.19: Adequacy of the Curriculum Materials
5.11: Types of Instructional Materials The instructional materials that are used by the teachers as contained in Table 5.4, shows a
preponderance of use of textbooks as indicated by 78 percent of the principals; 7.5 percent
indicated charts/flipcharts and cardboard by 1.4 percent. On the other hand, only 0.2 percent
of the principals indicated that the teachers used graphs, novels, curriculum and textbooks
0 20 40 60 80 100
Syllabus
Teachers' Guide
Scheme of Work
Diary
Curriculum Module
National Curriculum
59.3
72.8
80.7
78
65.7
76.4
14.6
4.7
4.7
4.9
5.8
3.9
26.1
22.5
14.6
17.1
28.5
19.7
Percent
No Response Bad Good
0 10 20 30 40 50
Syllabus
Teachers' Guide
Scheme of Work
Diary
Curriculum Modules
National Curriculum
26.1
34.3
43.9
40.5
32.9
28.9
14.6
36.4
31.7
33.6
33
46
26.1
29.3
24.4
25.9
34.1
25.1
Percent
No Response Not Adequate Adequate
52
Table 5.4: Types of Instructional Materials Available in Schools
Frequency percent
TEXTBOOKS 1307 78
BLACKBOARD/CHALKBOARD/MARK
BOARD 60 3.6
CHARTS/FLIPCHARTS 126 7.5
CARDBOARD 24 1.4
CHALK 15 0.9
GRAPH 4 0.2
MAP 16 1
NOVELS 3 0.2
PICTURES (TEACHING AID) 38 2.3
COMPUTER 29 1.7
CURRICULUM 4 0.2
NOTEBOOK 4 0.2
PROJECTOR 9 0.5
MEARSURING TAPE
(MEASUREMENTS) 6 0.4
SCIENCE KIT 19 1.1
GLOBE 11 0.7
TOTAL 1,675 100
An assessment of the quality of the instructional materials showed that 34.50 percent of the
principals reported that the instructional materials were of good quality, 3.20 percent said
they were of bad quality, while 62.30 percent of the principals did not respond. On the
appropriateness of the instructional materials, 29.30 percent of the principals reported that
they were appropriate, 8.60 percent considered the instructional materials not appropriate,
while 62.10 percent of the principals did not respond.
5.12: Water Supply Sources The main source of water supply as shown in Figure 5.20 indicates that Rain water is the
source in 4.7 percent of the schools, stream/river in 5.1 percent, well water in 28.9 percent,
borehole water in 37.0 percent, pipe-borne water in 3.0 percent and tanker water in 1.5
percent of the schools. However, 19.80 percent of the schools had no sources of water.
53
Figure 5.20: Sources of Water Supply
Availability of Useable Games/Sports Facilities in School
The responses in Figure 5.21 showed that 62.1 percent of the schools had facilities for
football, 43.2 percent had facilities for handball, 37.1 percent had facilities for athletics, 39.3
percent had facilities for volleyball and less than 20.0 percent of the schools had facilities for
basketball, table tennis and lawn tennis.
Figure 5.21: Available Useable Games/Sports Facilities
Availability and Usage of Refuse Disposal Facilities in Schools
The responses indicated that refuse disposal facilities were available in few schools as less
than 26.0 percent of the schools had the facilities as shown in Figure 5.22. Similarly, usage
was also low as less than 31.00 percent of the schools indicated that the facilities were used
as seen in Figure 5.23.
0 10 20 30 40
Rain
Stream/River
Well
Borehole
Pipe Borne water
Tanker
None
4.7
5.1
28.9
37
3
1.5
19.8
Percent
0 20 40 60 80 100
Athletics
Football
Handball
Lawn Tennis
Table Tennis
Basketball
Volleyball
37.1
62.1
43.2
4.7
10.1
17.8
29.3
49.7
36
52.9
90.2
83.9
77.3
65.5
18.1
1.9
3.9
5.1
6
4.9
5.3
Percent
No response No Yes
54
Figure 5.22: Availability of Refuse Disposal Facilities in School
Figure 5.23: Usability of Refuse Disposal Facilities in School
Availability of Usable Recreational Facilities in Schools
Swing was the most usable recreational facility as indicated by 16.50 percent of the schools.
This meant that usable recreational facilities were available in few schools as less than 15.00
percent of the schools, as can be seen from Figure 5.24, reported that they had the other listed
facilities.
0 10 20 30 40 50 60
REFUSE DISPOSAL
COMPOSE PIT
DUST PIT
LARGE BIN
NONE
22.3
25.9
22
7.1
15.4
54.6
49.5
51.2
51.4
28.1
23.1
24.6
26.8
41.5
56.5
Percent
No response No Yes
0 10 20 30 40 50 60
REFUSE DISPOSAL
COMPOSE PIT
DUST PIT
LARGE BIN
25.9
18.4
7.9
6.4
49.5
44.5
51.4
41.7
24.6
37.1
40.7
52
Percent
No response No Yes
55
Figure 5.24: Availability of Usable Recreational Facilities in Schools
Observations and Challenges
1. More than 75 percent of the schools run only morning session.
2. More than 80 percent live less than 2km from the schools. More than 90 percent go to
school on foot.
3. Almost all schools had PTA which met as the need arose. They also rendered assistance
to schools.
4. Few of the schools were fenced though not often with durable materials which did not
guarantee safety. Some engage security personnel to guarantee safety within the schools.
5. The community provided auxiliary teachers to assist schools.
6. Only few schools had playgrounds, gardens, and others. Existing buildings needed to be
maintained.
7. The enrolment of the girl-child is low across the nation.
8. The dropout rates in Bayelsa and Zamfara states were of great concern.
9. There was lack of facilities of all kinds in most schools nation-wide. These range from the
curriculum, textbooks, toilets, sports field, recreational to disposal facilities.
0 20 40 60 80 100
Swimming pool
Merry-go-round
Slide
See-Saw
Swing
Ladder
11.8
5.1
14.4
4.9
16.5
15
83.1
90.4
80.5
89.9
79.4
80.7
5.1
4.5
5.1
5.3
4.1
4.3
Percent
No Response No Yes
56
Chapter Six
Attitude towards Parents
A child‟s first contact is his/her parents. The parents nurture the child from infancy through a
process of socialization and this builds up a strong bond between them and the child. This
bond will determine how much the child will like the parent as the bond could be positive or
negative. Positive bonding builds trust and hence obedience by the child. The result is that if
a child is sent to school, (s)he works hard to excel. In this study two items on attitude of
parents towards the learners were presented to the learners. Out of the 7,464 learners who
responded in the study, 60 (0.80 percent) think their parents do not like them, while 7004
(93.80 percent) believe the parents like them; 400 (5.40 percent) declined to respond to this
item.
A parent cannot like a child all the time; the child can fall out of favour with the parents.
Thus it is necessary to examine why they are liked and when they also do not get the needed
favourable node from the parents. The reasons adduced by the learners in this study are
presented in Figure 6.1. Learners‟ responses to this item indicate that 31.60 percent and 14.50
percent adduced “I am obedient” and “they gave birth to me” as reasons for the parent liking
them.
Figure 6.1: Reasons Parents like Children
As regards reasons why the learners are not liked, these are presented in Figure 6.2. Among
the respondents, 93.42 percent did not respond. The most predominant reasons adduced were
because „I fight always‟ by 0.20 percent and „I disobey my parents‟ by 0.20 percent and „I do not go to farm with them‟ by 0.11 percent.
0 5 10 15 20 25 30
Always pass my examinations
Assist with farm work
Assist to sell things
maintain my textbooks
I assist with care of my siblings
They are my parents
Others
No response
5.5
0.7
0.87
1.5
0.9
14.15
29.95
19.84
Percent
57
Figure 6.2: Reasons Parents do not like the Learners
6.2: Attitude towards Teachers
Teachers interact with learners and this can breed a relationship between the two which may
be healthy or otherwise. The learners‟ attitude to the teacher will depend on their perception of the teachers‟ disposition towards them. If his perception is positive, the learner would
ultimately like the teacher and the subject taught and this may affect performance in the
subject. Among the learners 94.5 percent believe they are liked by the teacher, 0.9 percent did
not see themselves as liked by the teacher and 4.6 percent did not respond. Among other
reasons, as can be seen in Figure 6.3, adduced by the learners for liking their teacher were
“teacher teaches well” (29.50 percent) and “teacher is friendly” (16.10 percent).
Figure 6.3: Reasons Why the Learners like their Teachers
In Figure 6.4, 99.40 percent of the learners did not respond to the item on why they do not
like the teacher. However, 0.20 percent of the learner gave “teacher punishes learner always” while 0.10 percent alluded that “teacher is unfriendly” and “teacher does not teach most of
the times” (0.1) as reasons.
0 20 40 60 80 100
I fight always
I disobey them
I do not go to farm with them
Others
No response
0.2
0.2
0.11
0.1
98.42
Percent
0 5 10 15 20 25 30
No response
Others
Teacher teaches well
Teacher maintains discipline in class
Teacher is regular and punctual
Interested in learners
Teacher is friendly
Teacher encourages learners to learn
Dresses and moderately smartly
17.4
15.9
29.5
3.4
3
6.1
16.1
2.9
5.7
Percent
58
Figure 6.4: The Reasons Why the Learners do not like Their Teachers
6.3: Attitude towards School Subjects Liking subject is seen as a proxy of attitude towards the subject in this study. When students
like the subject they are likely to put in lots of effort in learning the subject and consequently
if all things work well will excel in the subject. Not liking the subject can create hatred
towards even the teacher. In this section subjects liked and those not liked and reasons for
these were explored. Figure 6.5 shows the two most liked subjects to be English Studies
(33.00 percent) and Mathematics (24.60 percent). The various degrees of learners‟ likeness for other subjects are displayed in the figure.
Figure 6.4: The Reasons Why the Learners do not like Their Teachers
Reasons for liking subjects were given by 18.50 percent as “it is simple” “my teacher teaches
the subject well” (16.30 percent), “I understand when I read the subject” (10.10 percent) and
“it is crucial to me achieving my goal” (7.90 percent). Other reasons are as shown in Figure
6.5.
0 20 40 60 80 100
No Response
Others
Teacher punishes learners always
Teacher is unfriendly
Teacher is too strict and aggressive
Teacher does not teach most of the time
Teacher comes late to school always
99.3
0.1
0.2
0.1
0.1
0.1
0.1
Percent
0 5 10 15 20 25 30 35
No response
Religious Studies
Nigeria Languages
Home Economics
English Studies
Computer Studies
Business Studies
Basic Science
Agriculture
2.7 8.4
4.5 1.4
3 24.6
1.3 0.3
33 0.6
1.2 2.9
2.4 1.2
10.1 0.4
1.8
Percent
59
Figure 6.5: Reasons the Learners like the Two Subjects best
Two subjects which learners did not like are Mathematics (12.10 percent) and Nigerian
Languages (8.30 percent). The degree for the dislike of other subjects is indicated in Figure
6.6. However, 20.80 percent of the learners did not respond.
Figure 6.6: Two Subjects the Learners do not like
The main reason why learners did not like the subjects was “they are too difficult” (29.5)
percent) followed by “my teacher do not teach me well” (7.70 percent). “Other reasons” (21.90 percent) though not explicit were given by the learners, while 24.50 percent did not
respond as depicted in Figure 6.7.
0 5 10 15 20 25 30
No response
Other
It is simple
It is crucial to achieving my goals
My teacher teaches the subject well
I understand when I read the subject
I have people who can assist me on the…
14.7
28.2
18.5
7.9
16.3
10.1
4.3
Percent
0 5 10 15 20 25
No Response
Religious Studies
Nigerian Language
Home Economics
English Studies
Computer Studies
Business Education
Basic Science
Agriculture
20.8 5.6
1.8 4.1
8.3 12.1
2.7 6.8
2.8 3.7
3.3 5.3
4.5 5.4
0.78 0.7
4.4
Percent
60
Figure 6.7: The Reasons Why the Learners do not like the Two Subjects
6.4: Attitude to Schooling Good attitude towards school is one step towards achieving educational goals. This will
translate to greater effort as attitude can be motivational. Out of the 7,464 learners that
responded in the study 58 (0.80 percent) do not like schooling; 6,892 (92.30 percent) are
categorical that they like schooling. A total of 514 (6.90 percent) did not respond. Figure 6.8
presents the various reasons why the learners like schooling. In their multiple responses, 513
(3.40 percent) of the learners attend school because of its adequate classroom and furniture;
609 (41.00 percent) because of the beautiful compound with flowers; and for 1,032 (6.90
percent) it is because of the organisation of co-curricular activities. A total of 739 (5.00
percent) learners like schooling because it is close to their home; 695 (4.70 percent) like
schooling because it maintains discipline; 734 (4.90 percent) like the school because the
teachers are friendly; while for 1.1percent it is because the teachers encourage the learners to
participate. Another 7.5 percent of learners like school because of the availability of
textbooks and instructional materials. Altogether, 1,117 (7.50 percent) responses were invalid
and 2,404 (16.10 percent) learners did not respond.
Figure 6.8: Reasons Why the Learners like Schooling
0 5 10 15 20 25 30
I do not have people that can…My teacher do not teach them well
They are boring
They are too difficult
Other pupils/students run out…Other reason
Invalid Response
No Response
4
7.7
5.4
29.5
1.5
21.9
5.5
24.5
Percent
0 10 20 30 40 50
No Response
Others
Availability of textbooks and…Teachers encourages learners to…Teachers are friendly
School maintains discipline
School is close to my house
Organization of Co-curricular activities
Beautiful Compound with Flowers
Adequate classroom and furniture
23.6
41
1.1
5.3
4.9
4.7
5
6.9
4.1
3.4
Percent
61
Among learners who do not like schooling, it may be instructive to find out why? Figure 6.9
presents the reasons given by the learners why they do not like schooling. Among the
learners, 99.40 percent decline to react to this item; and 0.20 percent of the responses were
invalid. Altogether, 0.10 percent of learners do not like schooling because of bullying by
other learners and 0.10 percent because of inadequate classrooms. Among the learners 0.10
percent do not like schooling because they receive no support or motivation from the teachers
while 0.10 percent think the teachers do not teach well enough.
Figure 6.9: Reasons Why Learners do not like Schooling
Observations and Conclusions
1. One worrisome issue in this chapter was the preponderance of no response. This
probably may have arisen as many items required a free response from the learners.
Nonetheless it is hoped that the little information gleaned have partially illuminated the
situation.
2. Mathematics is the most hated and this should be of concern as it is the bed rock of
science and technology. On the other hand not liking Nigerian language may lead to the
future extinction of these languages. This could have been because most parents
currently do not communicate in their mother tongue with their children.
3. Liking school and teachers as observed is commendable as these are likely to lead to
greater achievement in schools. The teacher drives whatever takes place in school and
liked by the learners, they would work hard to excel in the subject taught by the teacher.
0 20 40 60 80 100
Bullying by other learners
Inadequate classroom
No support or motivation from teachers
Teachers do not teach well
No Response
0.1
0.1
0.1
0.2
99.5
Percent
62
Section Two: Learners’ Achievement
In this section of the report, four chapters on achievement in English Studies, Mathematics,
Basic Science and Technology are presented. Each chapter is organised in three sub-sections:
achievement at national, zonal and state levels. Two main types of test, Multiple Choice and
Essay were used in the study for each subject. For the purpose of analysis, the scores in the
two types of test were transformed into T-score with a mean of 50 and standard deviation of
10 at the three sub-sections. Tests measured objectives through the content taught in schools.
The content was reflected by the themes in the curriculum while the objectives were
categorized into Knowledge, Comprehension and Higher order objectives consisting of
application, analysis, evaluation and synthesis. In analyzing achievement on the themes and
objectives, the raw scores obtained by the learners were not transformed. Some contextual
variables which were thought to influence achievement were explored. Finally, each chapter
was concluded with observations and challenges.
63
Chapter Seven
Achievement in English Studies
Introduction
This chapter presents the results of the Multiple Choice and Essay tests of English Studies.
The achievements at national, geo-political zone and state levels were focused on. The
relationship between some contextual variables and the achievement of the learners are also
presented.
7.1: Achievement at National Level The achievement scores at this level are transformed scores with a mean of 50 and a standard
deviation of 10 otherwise called T-scores. This section presents the results of the essay and
multiple choice tests; range and percentiles; group achievements (gender of learners and
location of schools) and finally along the content and cognitive domains. Observations and
challenges from the results are also presented.
7.1.1 National Means
Figure 7.1 shows the national average of the learners‟ achievement in the essay and multiple-
choice tests. Overall, the national average was 50.00 in the multiple choice test; while that in
the essay test was 49.83. The differences in these two tests were however marginal.
Figure 7.1: Mean Score on Essay and Multiple Choice Tests
7.1.2 National Range and Percentile The range shows the spread or cluster of the scores while the percentile indicates the relative
standing of an examinee‟s score vis-à-vis scores of other examinees. The scores were
categorized into four clusters: 0-39(Fail), 40-49(Fair), 50-59(Good) and 60-69(Very Good)
and 70 and above (Excellent). Figure 7.2 gives the range in the transformed national scores in
both the essay and multiple choice tests. In the multiple choice test, small proportion of
learners scored in the cluster of 70 and above; 33.6 percent scored within the cluster 50-59;
while 18.3 percent of the learners scored in the lowest cluster of 0-39. Thus 55.8 percent
49.7
49.75
49.8
49.85
49.9
49.95
50
Essay Muliple choice
49.83
50
Sco
re
64
scored at or above the expected mean for the transformed scores in the Multiple Choice test.
In the Essay test, 4.5 percent of learners scored in the cluster 70 and above; 41.9 percent
scored in the cluster 40-49, while 2.3 percent of the learners scored in the lowest cluster of 0-
39. Effectively, 45.8 percent of the learners scored at or above the expected mean for the
transformed scores in the Essay test. These results may not be very satisfactory for this level
of learners.
Figure 7.2: Transformed Score Ranges
The overall percentile of the learners across the country is shown in Figure 7.3. Learner who
scored 39.23, 42.01, 47.6, 57.26 and 65.1 performed better than 10 percent, 25 percent, 50
percent, 75 percent and 90 percent respectively of all learners who took the multiple choice
test. In the essay test, learners who scored 40.25, 42.18, 46.05, 55.73 and 65.4 performed
better than 10 percent, 25 percent and 50 percent, 75 percent and 90 percent respectively. The
results indicate that achievement of the learners at the 10th
, 25th
and 90th
percentile was
consistently better in the essay test; it was however better in the multiple choice test at the
50th
and 75th
percentiles.
Figure 7.3: Percentile Score in Multiple Choice and Essay Tests
0
5
10
15
20
25
30
35
40
45
Fail (0 - 39 ) Fair (40 - 49
)
Good (50 -
59)
Very Good
(60 - 69)
Excellent
(70-100 )
18.3
25.9
33.6
21.9
0.3
12.3
41.9
27.4
13.9
4.5
Sco
re
Multiple Choice Essay
65
7.1.3 Group Achievements
Two groups were used as part of group achievement; these are gender of students (male and
female) and location of schools (urban and rural).
Achievement by Gender
Figure 7.4 shows that at the national level in the multiple choice test, the achievement of the
female learners (50.30) is higher than that of the male learners though the difference is not
substantial. In the essay test, the national mean achievement of the male (49.71) and female
(49.96) learners did not suggest any large difference between the two.
Figure 7.4: Distribution of Mean Scores in Multiple-Choice and Essay by Gender
Achievement by Location of School
Figure 7.5 shows that at the national level in the multiple choice test, the achievement of the
learners from rural schools (50.01) is higher than that of the learners from urban locations.
The difference is not substantial. In the essay test, the national mean achievement of the
learners from urban areas (49.70) was lower than that for learners from rural areas (49.96).
Rural learners (50.01) on the multiple choice test performed better than rural learners on the
essay test. In the same token, learners from rural locations (50.01) in the multiple choice test
performed better than urban learners (49.99) on the essay test.
Figure 7.5: Achievement of the urban and the rural schools in multiple choice and essay
tests.
0.00
10.00
20.00
30.00
40.00
50.00
60.00
URBAN RURAL URBAN RURAL
MULTIPLE CHOICE ESSAY
49.99 50.01 49.70 49.98
66
7.1.4 Achievement in the Content Domain
This section presents results on achievement on the content domain. Five themes were used
in this study. These are Speech, Grammatical accuracy, Literature, Writing and Reading. The
scores reported here are the raw scores expressed as percentages. Figure 7.6 presents the
scores of the learners in the five content themes of the English Studies curriculum. From the
figure it is observed that the learners performed best in Reading (65.50) and Writing (59.83).
The mean score in Literature was 50.03 and the lowest achievement was in Speech (46.86)
and Grammatical Accuracy (48.10). The achievement in Speech and Grammatical Accuracy
are often relatively more difficult to comprehend by second language learners.
Figure 7.6: Achievement of the Learners in the Five Themes in English Studies
7.1.5 Achievement on the Cognitive Domain
In Figure 7.7, the mean achievement of the learners in the three cognitive domainsare
presented. The learners scored highest on items testing Comprehension (61.17) and the
achievement on higher order was 54.33; while the lowest score of 45.71 was on items on
knowledge objectives. Theory indicates that order of achievement on cognitive objectives
should be, in decreasing order, should be knowledge, comprehension and higher order; the
results do not follow this trend. Thus there could have been issues with the classification of
the items into objectives.
0 20 40 60 80
Speech
Grammatical Accuracy
Literature
Writing
Reading
46.86
48.1
50.03
59.83
65.5
Scores
0 20 40 60 80
Knowledge
Comprehension
Higher Order
45.71
54.33
61.17
Score
67
Figure 7.7: Achievement of the Learners in the Cognitive Objectives
7.2 Achievement at Geo-Political Zones In this section, achievement was looked at from the angle of the multiple choice and essay
tests and group achievements were equally presented.
7.2.1 Achievement in Essay and Multiple Choice Tests
In Figure 7.8, zones in the south consistently performed better in the multiple choice test than
the essay test. However, Zones in the north also performed better on the essay test than the
multiple choice test. The best performing zone on the multiple choice test was South East
(54.74) while that on the essay test was South South (50.27). The lowest achievement on the
multiple choice test was by learners in North East (44.3) and that on the essay was by learners
in South West (49.04). Among the zones in the north, North Central (50.15) learners
exhibited the best achievement on the essay test while North East (44.3) learners displayed
the least achievement. Among the zones in the south, the best achievement on essay was
displayed by learners in South South (50.27).
Figure 7.8: Achievement across Geo-Political Zones on Essay and Multiple Choice Test
7.2.2 Group Achievements across the Geo-Political Zones
Table 7.1 contains the mean scores and standard errors of the achievement in English Studies
essay and multiple choice tests decomposed by gender. In the essay test, the achievement of
female learners was better than that of male learners in all zones with the exception of North
West (49.72 and 49.33 respectively) and South West (49.18 and 48.91 respectively) With
respect to achievement in multiple choice test, male learners in two zones North Central
(49.51) and North East (44.64) performed better than female learners. On the other hand,
female learners in four zones performed better than male learners. Some of the zones where
female learners performed better than male learners are North West (46.34) and South West
(53.84).
Table 7.1: Distribution of Means and Standard Error of English Studies Multiple
Choice and Essay Tests for Zones by Gender
Zone MULTIPLE CHOICE ESSAY
Male Female Male Female
68
Mean SE Mean SE Mean SE Mean SE
North
Central 49.51 0.48 48.57 0.49 49.75 0.46 50.56 0.47
North East 44.64 0.36 43.87 0.37 49.86 0.40 50.44 0.46
North West 46.12 0.32 46.34 0.38 49.72 0.34 49.33 0.42
South East 54.60 0.38 54.85 0.35 50.01 0.43 50.18 0.41
South
South 52.22 0.39 52.51 0.38 49.79 0.42 50.76 0.43
South West 53.58 0.33 53.84 0.32 49.18 0.39 48.91 0.35
Figure 7.9 contains the mean scores for the zones classified according to location on the
multiple choice test. The learners in rural schools performed better than the urban schools in
the multiple choice test in four zones, namely, North Central (49.22 and 48.90 respectively),
North West (46.31 and 46.09 respectively), South East (54.87 and 54.61 respectively). Also,
learners in rural schools in the South West performed slightly better than those in urban
school (53.73 and 53.70 respectively).
Figure 7.9: Achievement in Multiple Choice by School Location
In the essay test, the achievement of the learners in urban school was better than that of
learners in rural schools in South East (50.53 and 49.66 respectively) and South West (49.23
and 48.78 respectively). The least achievement in rural schools was obtained by learners in
South West (48.78) while the best achievement was for learners in North East (50.93).
Learners in urban schools had the least achievement in South West (49.23). The South West
had the least achievement for both urban and rural schools for zones in the south. In the same
vein, learners in North West had the least achievement in both urban and rural schools for
zones in the north.
0 10 20 30 40 50 60
NORTH CENTRAL
NORTH EAST
NORTH WEST
SOUTH EAST
SOUTH SOUTH
SOUTH WEST
NATIONAL
48.9
44.47
46.09
54.61
52.22
53.73
49.99
49.22
44.08
46.31
54.87
52.5
53.7
50.11
Score
RURAL URBAN
69
Figure 7.10: Achievement in Essay Test by School Location
7.3 Achievement at State Level This section presented the learners‟ achievement in essay and multiple choice at state level. The cognitive group achievements in terms of gender, school location, content and cognitive
domains were also presented. The section was concluded with observations and conclusions.
7.3.1 Achievement in Essay and Multiple Choice Tests
The national average for the multiple Choice test was 50; 19 states achieved above the
national average. States achieving at the top include Lagos (58), FCT (57) and Ebonyi (57).
In the Essay test, the national average was 50 and 20 states performed above this value. States
performing on top of the chart include Akwa-Ibom (50), Adamawa (51) and Sokoto (51).
States performing at the bottom include Bayelsa (48), Kebbi (48) and FCT (48). Learners
from 19 states performed better in the Multiple Choice test than the Essay test.
70
Figure 7.11: Mean Score in English Language in Essay and Multiple Choice tests
Note:
i. Learners‟ score in multiple choice are out of the parentheses ii. Learners‟ score in essay are in parentheses
7.3.2 Group Achievements by Gender
Table 7.2 shows that male learners in 18 states scored above the national male mean score of
49.71 for the essay test; the states performing well here include Cross River (52.11), Oyo
(51.4) and Bauchi (51.35). Female learners in 19 states performed better than the national
female average score of 49.96 on the essay test; top performing states here include Delta
(53.15), Akwa Ibom (52.09) and Plateau (48.51). Female learners in 22 states performed
better than the male learners in the same test.
In the multiple choice test, male learners in twenty states performed better than the female
learners in the multiple choice test; top performing states included FCT (58.36), Lagos
(58.15) and Ebonyi (56.26). Female learners performed better than male learners in sixteen
states and the Federal Capital Territory in the multiple choice test. Male learners from
eighteen states performed above the national mean for males in the multiple choice test;
among the top performing states are Lagos (58.63), Ebonyi (57.22) and FCT (56.22).
48(5151(50)
51(51
54(49).
51(48) 51(51)
55(51)
54(50) 57(50)
54(51)
54(49)
53(49
53(49)
50(48)
42 (51)
48(49)
49(50)
54(5051(50
53(48)
58(49)
47(50)
47(48)3
46(50
46(50)
46(49)
48(49)
44(51)
41(50
43(45)
55(51
56.11
45(50)
46(51) 43(50)
53(48)
48(49)
National Average
Score=50/50
71
Table 7.2: Multiple Choice and Essay Tests Score in English Studies by Gender
State
ESSAY MULTIPLE CHOICE
Male Female Male Female
Mean SE Mean SE Mean SE Mean SE
ABIA 50.64 0.99 50.52 1.05 53.61 0.92 54.33 0.88
ADAMAWA 51.12 1.36 51.47 1.00 47.70 1.04 44.41 0.86
AKWA-IBOM 50.48 1.04 52.09 0.92 51.26 0.84 51.43 0.77
ANAMBRA 49.50 0.85 50.08 0.84 54.80 0.81 53.47 0.79
BAUCHI 51.35 1.04 50.58 1.22 44.40 0.87 44.50 0.92
BAYELSA 44.96 1.11 50.95 1.54 50.36 1.18 51.35 1.28
BORNO 49.82 1.01 50.52 1.47 45.83 0.81 44.14 0.94
BENUE 48.47 2.04 51.13 1.99 37.69 1.18 45.56 1.51
CROSS RIVER 52.11 0.93 48.94 1.06 50.80 0.96 51.36 1.14
DELTA 48.94 0.82 53.15 1.09 55.54 0.80 53.90 0.85
EBONYI 50.77 0.97 49.42 0.97 56.26 0.74 57.38 0.73
EDO 50.36 1.18 50.13 1.15 50.87 0.90 51.40 0.92
EKITI 49.09 0.88 48.61 0.87 51.97 0.73 54.22 0.73
ENUGU 48.19 0.96 49.98 0.85 53.17 0.87 55.16 0.76
GOMBE 50.63 0.85 49.98 1.13 41.16 0.64 40.08 0.71
IMO 50.90 1.08 50.78 0.90 55.08 0.93 54.44 0.74
JIGAWA 48.23 0.93 48.79 0.88 45.00 0.90 46.29 0.86
KADUNA 50.31 0.92 50.53 1.05 45.80 0.73 45.55 0.81
KANO 49.67 1.18 50.83 1.83 46.08 1.04 45.25 1.33
KATSINA 48.93 0.93 49.15 0.96 48.16 0.87 48.77 0.97
KEBBI 48.86 0.81 46.89 1.07 49.85 0.94 50.08 1.15
KOGI 50.25 1.16 51.46 1.32 49.07 1.15 46.15 1.19
KWARA 50.84 0.98 49.28 1.04 54.26 0.84 54.43 0.93
LAGOS 47.75 0.93 49.66 0.80 58.15 0.85 58.63 0.63
NASARAWA 51.08 1.44 51.05 1.39 47.74 1.54 47.28 1.32
NIGER 49.50 1.17 50.41 1.14 49.05 1.26 48.25 1.29
OGUN 47.86 1.01 48.97 0.97 54.38 0.75 52.33 0.77
ONDO 50.49 0.91 47.97 0.88 52.59 0.81 52.43 1.03
OSUN 47.91 0.95 48.87 0.85 53.88 0.79 53.06 0.76
OYO 51.40 1.06 49.07 0.82 51.44 0.77 51.25 0.72
PLATEAU 48.51 0.93 52.07 1.05 44.04 0.82 41.82 0.81
RIVERS 48.95 0.99 49.21 0.83 52.86 0.93 54.11 0.80
SOKOTO 50.85 0.86 51.28 1.10 41.99 0.67 42.78 0.82
TARABA 49.05 0.88 49.61 0.96 42.55 0.63 42.91 0.82
YOBE 47.58 0.84 50.45 1.11 48.80 1.15 47.51 1.04
ZAMFARA 50.33 0.81 47.79 1.19 47.00 0.74 45.51 1.19
FCT 47.95 1.34 48.42 1.14 58.36 1.36 56.22 1.35
NATIONAL 49.71 0.16 49.96 0.17 49.72 0.16 50.30 0.17
In Table 7.3, mean scores and standard error for the English Studies essay test and multiple
choice test are presented. From the table, 18 states performed above the mean for urban
72
learners in the essay test; among the top performing states are Abia (50.74), Adamawa
(50.53) and Edo (50.37). Among the rural learners, 22 states performed above the national
mean on the essay test with states like Borno (52.17), Adamawa (52.02) and Akwa Ibom
(51.69) topping the achievement table. Learners in 18 states and FCT from rural locations
performed better than the learners from urban locations on the essay test.
Twenty states performed above the national mean of 49.99 on the multiple choice test among
urban learners; top performing states here include Lagos (58.82), FCT (58.5) and Ebonyi
(56.28). With respect to this same test, learners from rural locations in 18 states and FCT
performed above the national mean of 50.01; the top performing states in this category
include Lagos (57.91), Ebonyi (57.19) and FCT (55.32). Learners from rural locations in 17
states performed better than those from urban areas on the multiple choice test.
Table 7.3: Multiple Choice and Essay Test Score of Learners in English Studies by
Location
State
ESSAY MULTIPLE CHOICE
URBAN RURAL URBAN RURAL
Mean SE Mean SE Mean SE Mean SE
ABIA 50.74 0.95 50.36 1.11 53.96 0.85 53.99 0.96
ADAMAWA 50.53 1.17 52.02 1.13 46.56 0.98 45.14 0.92
AKWA-IBOM 50.85 1.07 51.69 0.90 50.91 0.95 51.65 0.70
ANAMBRA 51.00 0.93 48.94 0.78 54.17 0.90 53.99 0.73
BAUCHI 51.08 1.15 50.90 1.11 44.49 0.89 44.41 0.89
BAYELSA 47.70 1.15 46.98 1.80 50.25 0.96 52.53 1.97
BORNO 49.07 1.02 52.17 1.42 45.61 0.75 44.38 1.11
BENUE 49.36 1.51 = 40.32 1.10 = =
CROSS RIVER 51.09 1.14 50.44 0.90 50.80 1.08 51.23 0.99
DELTA 50.83 1.00 51.01 0.94 54.38 0.88 55.15 0.78
EBONYI 50.36 1.03 49.98 0.93 56.28 0.79 57.19 0.70
EDO 50.37 1.11 50.11 1.23 51.14 0.81 51.13 1.02
EKITI 48.90 0.84 48.79 0.91 53.62 0.75 52.65 0.72
ENUGU 49.56 0.86 48.80 0.94 54.49 0.82 54.05 0.80
GOMBE 49.85 0.94 50.88 0.99 40.73 0.70 40.74 0.66
IMO 50.95 0.95 50.66 0.99 54.43 0.75 55.12 0.92
JIGAWA 48.63 0.78 48.33 1.11 45.73 0.78 45.48 1.04
KADUNA 50.27 1.20 50.47 0.84 45.73 0.95 45.68 0.66
KANO 49.34 1.49 50.75 1.38 45.51 1.19 45.97 1.14
KATSINA 49.37 1.01 48.75 0.89 48.36 0.95 48.54 0.89
KEBBI 47.88 1.21 48.21 0.75 50.39 1.18 49.67 0.92
KOGI 50.21 1.30 51.30 1.17 47.51 1.28 47.82 1.10
KWARA 49.58 0.95 50.72 1.08 54.83 0.85 53.82 0.91
LAGOS 48.87 0.81 48.97 0.94 58.82 0.67 57.91 0.79
NASARAWA 52.06 1.44 49.92 1.35 47.07 1.34 48.02 1.53
NIGER 49.13 1.21 50.72 1.11 48.11 1.32 49.00 1.25
OGUN 49.14 1.03 47.71 0.92 52.67 0.74 53.94 0.80
ONDO 49.26 0.67 50.60 2.29 52.65 0.67 51.31 2.13
73
OSUN 49.07 1.09 47.97 0.76 52.74 0.89 53.93 0.69
OYO 50.09 0.91 50.21 0.97 51.65 0.73 51.01 0.76
PLATEAU 50.37 0.95 50.27 1.08 42.98 0.79 42.80 0.86
RIVERS 48.03 0.83 50.22 0.97 54.08 0.88 53.07 0.83
SOKOTO 50.80 0.93 51.23 0.99 42.34 0.74 42.24 0.74
TARABA 48.69 0.76 50.44 1.21 43.26 0.63 41.62 0.82
YOBE 48.13 0.91 49.63 1.03 47.60 1.10 48.87 1.13
ZAMFARA 49.80 0.91 49.34 1.01 46.37 0.84 46.83 0.95
FCT 47.55 1.05 49.16 1.50 58.50 1.15 55.32 1.64
NATIONAL 49.70 0.16 49.98 0.17 49.99 0.16 50.01 0.17
7.3.3 Achievements in Cognitive and Content Domains
Five content domains were used in English Studies; these are speech, reading, grammatical
accuracy, writing and literature. The achievements of learners in these domains are raw
scores expressed as percentages. The achievements of the learners in each of these domains
are presented in this sub-section.
74
Speech
Figure 7.12: Mean Scores of the Learners on the Theme Speech
From Figure 7.12,
1. 18 states and FCT performed above the national average of 46.86; states that
excelledhere include FCT (52.28), Lagos (50.32) and Kwara (50.05).
2. Achievement on this theme was only good.
75
Reading
Figure 7.13: Mean Scores of the Learners on the Theme Reading
From Figure 7.13,
1. 18 states and FCT performed above the national average of 65.50; states that excelled
here include Lagos (80.46), FCT (78.42) and Ebonyi (76.42).
2. Achievement on this theme was excellent.
76
Grammatical Accuracy
Figure 7.14: Mean Scores of Learners in Grammatical Accuracy
From Figure 7.14,
1. Learners from 19 States scored above the national average (48.10) in grammatical
accuracy; best performing states include Lagos (64.56), Ebonyi (61.41) and FCT
(61.22).
2. Achievement was good.
77
Writing
Figure 7.15: Mean Scores of Learners on the Theme Writing
From Figure 7.15,
1. Learners from 21 states performed above the national average of 59.83; Lagos
(72.22), Ebonyi (72.21) and FCT (71.03) outshone their counterparts.
2. Achievement on this theme was very good.
78
Literature
Figure 7.16: Mean Scores of Learners on the Theme Literature
From Figure 7.16,
1. Learners from 20 states performed above the national average of 50.03; Lagos
(69.94), FCT (64.55) and Ebonyi (63.90) outshone their counterparts.
2. Achievement on this theme was good.
79
Knowledge
Figure 7.17: Means Scores of Learners on Knowledge Objectives
From Figure 7.17,
1. 19 states scored higher than the national average; these include Lagos (63.13), Ebonyi
(59.29) and FCT (59.26).
2. Achievement on knowledge objective was Fair.
80
Comprehension
Figure 7.18: Mean Scores of Learners on Comprehension Objectives
In Figure 7.18,
1. 19 states scored above the national average in comprehension; among the states are
Lagos (72.49), FCT (71.45) and Ebonyi (69.60).
2. The national average of 61.87 was quite high; achievement on this objective was very
good.
81
Higher Order
Figure 7.19: Means Scores of Learners on Higher Order Objectives
From Figure 7.19,
1. 19 states and FCT scored above the national average in higher order; among the states
are Lagos (65.32), FCT (64.54) and Ebonyi (63.86).
2. The national average of 54.33 was within an acceptable level of achievement; therefor
the achievement on this objective was good.
82
1.4. Relational Analysis This subsection deals with the relationship between the learners contextual variables that may
influenced their achievement in English Studies. Specifically, how homework assistance
provided; available learning facilities; after school non-learning engagement; occupation of
father and mother; means of going to school; distance between learners‟ home and school; number of meal per day; learners‟ possessing textbook on English Studies; liking teacher and school affected learners achievement in English Studies were discussed.
Assistance with Homework as Related to Achievement
Homework assistance for learners was a composite of the help rendered by parents/guardians,
home tutors and siblings so as to complete their homework in English Studies. The scores
were categorised into 3 (high, moderate and low) assistance and the results related with
achievement. Figure 7.20 contains the results from the analysis. At the national level,
achievements exhibited showed mean values of 50.2, 49.6 and 50.1 for low, moderate and
high levels of assistance respectively. Seventeen states, eighteen states and twenty states
performed above the national mean for the low, moderate and high levels of assistance
respectively. The effect of level of assistance with homework appeared to be the same for
almost all states. States such as Lagos (53.8, 53.9 and 53.1), Ebonyi (53.3, 53.4 and 54.7) and
Delta (52.9, 52.6 and 53.4) exhibited high achievement at low, moderate and high levels of
assistance respectively. In the same token, states like Benue (36.1, 45.5 45.0), Gombe (45.1,
45.5 and 46) and Yobe (45.2, 49.0and 48.7) performed poorly across all levels of assistance.
83
English Studies
Figure 7.20: Assistance with Homework as Related to Achievement in English Studies
84
Available Facilities as Related to Achievement in English Studies
Figure 7.21: Available Facilities as Related to Achievement in English Studies
Nationally, there was an
increase in achievement as
facilities increased; the mean
for low level of facilities was
49.1 and for moderate level it
was 50.1 while at the high level,
it was 50.8. Learners from 24,
17 and 18 states performed at
or above the mean for low,
moderate and high level of
available facilities. Lagos (54.7,
53.9 and 53), Imo (53.7, 52.8
and 51.7) and Abia (53.7, 51.6
and 53.5) performed well in all
the categories of available
facilities, Benue (43.6, 46.5 and
47.8), Gombe (45.1, 45.5 and
48.2) and Plateau (45.8, 47.5
and 46.2) exhibited low
achievement at each of low,
moderate and high level of
available facilities respectively.
Thus it would seem that
achievements were not very
different for the states across
the different levels of facilities.
85
Out of school non-learning engagement as related to achievements in English Studies
Figure 7.22: Non-Learning Engagement as Related to Achievement in English Studies
The national average were 48.3,
47.6 and 48.7 for low, moderate
and high levels of out of school
non-learning engagement
respectively. For the low level of
out of school non-learning
engagement, learners from
eighteen states performed above
the national average for the
group. For the moderate group,
learners from 21 states
performed above the national
average while learners from 15
states performed above the
national average for the high level
of non-learning engagement.
Osun (57.4, 54.5 and 54.6), Kebbi
(56.3, 56.9 and 57.2) and Zamfara
(54.3, 51.5 and 53.1) for low,
moderate and high non-learning
engagements respectively were
among the best performing
states. Differences among the
groups look large in favour of low
level of involvement for Lagos
state. Nasarawa (40.2, 43.4 and
43.7), Benue (41.0, 42.8 and 38.6)
and Gombe (41.2, 40.9 and 41.5)
non-learning engagements
respectively were among states
that did not exhibit very good
achievement.
86
Occupation of Father as Related to Achievement in English Studies
Figure 7.23b: Occupation of Fathers as Related to Achievement in English Studies
Learners whose fathers belong
to the occupational group
‘others’ exhibited the best achievement (51.1) while those
whose fathers belong to the
group of worker
(public/Private) had the least
achievement (49.7). Learners
whose fathers are into the
occupations Farming/fishing,
Business/Trading, Worker
(Public/private) and ‘others from 21 states, 19 states, 22
states and 18 states
respectively scored above their
national average. Differences in
achievement of learners across
occupation of fathers are not
too different in states. See
Ebonyi, Imo and Abia for states
performing well and Gombe,
Jigawa and Taraba for states
not performing very well.
87
Occupation of Mothers as Related to Achievement in English Studies
Figure 7.24: Occupation of Mothers as Related to Achievement in English Studies
Learners whose mothers
belong to the occupational
group worker
(Public/private) exhibited
the best achievement (50.6)
while those whose mothers
belong the group of others
had the least achievement
(48.9). Learners whose
parents are into the
occupations
Farming/fishing, Business
/Trading, Worker (Public/
private) and ‘others from 26 states, 15 states, 21 states
and 17 states respectively
scored above their national
average. Kwara, Imo and
Ebonyi among the best
performing states and
Jigawa, Gombe and Taraba
among states that did not
perform very well are
indicative of effect of
occupation of mothers not
substantially different with
states.
88
Liking Teacher as related to achievement in English Studies
Figure 7.25: Liking Teacher as Related to Achievement in English Studies
There were learners from all
the states indicating liking or
non-liking for their teacher.
There were however no
learners from 9 states including
Lagos, Ebonyi, Taraba and Imo
that indicated they do not like
their teachers. When the
learners from the nine states
were excluded, real differences
in achievement was observed
between learners who like
teachers and those who do not
like teachers as noted for
Kwara (61.4 and 52.2), Delta
(61.2 and 52.8) and Ekiti (60.2
and 50.9) for states with high
achievement for learners who
do not like and those who like
the teacher respectively. At the
lower rug of achievement,
were learners from Plateau
(37.2 and 46.7), Katsina (38.3
and 48.90 and Yobe (38.5 and
48.7) for learners who do not
like and those who like the
teacher respectively. Thus at
the lower level of achievement,
liking teacher may be
important while at higher level
learners not liking teachers
performed better.
89
Mode of Transportation as Related to Achievement
Learners who go to school with canoe and donkey were from very few states and were
eliminated from this analysis. From Table 7.4, the best achievement at the national level was
by learners who go to school with Taxi/Bus (50.8) while the least achievement was for
learners who go with family car (49.5). Learners who go to school by walking, using
Okada/Bicycle/Tricycle had national means of 49.8 and 50.6 respectively. Learners from 18,
21, 19 and 20 states performed above the national average for learners who walk, use
okada/bicycle/tricycle, taxi/bus and family car respectively. Among the top performing states
the mean were Lagos (53.6, 54.3, 54.5 and 51.1), Ebonyi (53.4, 54.8, 57.5 and 49.5) and Imo
(52.9, 51.3, 53.4 and 52.5) for learners who walk, use okada/bicycle/tricycle, taxi/bus and
family car respectively. With respect to states not performing very well, Benue (44.1, =, 45.7
and 40.6), Gombe (45.4, 48.4, 43.0 and 45.9) and Taraba (46.0, 48.9, 47.3 and 45.4) for
learners who walk, use okada/bicycle/tricycle, taxi/bus and family car respectively.
Table 7.4: Achievement as Related to Means of Transportation to School
state
Walking Okada/Bicycle/Tricycle Taxi/Bus Family car
Mean SE Mean SE Mean SE Mean SE
ABIA 52.2 0.5 52.1 1.8 53.5 2.0 53.3 3.4
ADAMAWA 49.2 0.6 44.7 1.6 47.1 3.1 42.4 1.2
AKWA-
IBOM 51.3 0.4 51.4 2.2 48.5 4.9 53.9 3.2
ANAMBRA 52.1 0.5 52.1 1.1 53.5 1.2 49.2 1.7
BAUCHI 47.6 0.6 48.0 1.5 47.0 2.2 48.8 6.2
BAYELSA 48.6 0.7 51.8 1.9 = = 53.6 1.3
BORNO 47.6 0.5 48.1 3.8 45.4 1.7 51.0 1.9
BENUE 44.1 2.0 = = 45.7 1.3 40.6 1.6
CROSS
RIVER 50.9 0.5 54.4 2.6 56.4 3.4 47.7 2.1
DELTA 52.7 0.5 52.6 2.2 49.5 3.0 54.4 1.6
EBONYI 53.4 0.5 54.8 1.7 57.5 3.3 49.5 3.1
EDO 50.6 0.6 50.7 2.2 = = 52.0 2.1
EKITI 50.8 0.5 54.0 1.5 55.5 1.8 48.5 1.1
ENUGU 51.8 0.5 50.9 1.4 52.3 2.6 51.4 2.0
GOMBE 45.4 0.5 48.4 2.0 43.0 1.1 45.9 1.0
IMO 52.9 0.5 51.3 2.4 53.4 1.7 52.5 2.6
JIGAWA 47.2 0.5 46.4 2.2 49.2 3.6 46.1 1.5
KADUNA 48.3 0.5 47.3 1.2 50.2 2.3 40.8 2.0
KANO 48.3 0.7 46.8 1.4 45.3 2.0 = =
KATSINA 48.5 0.5 50.9 1.3 48.0 2.3 52.2 2.5
KEBBI 48.9 0.5 48.3 1.2 55.1 3.4 48.8 2.1
KOGI 49.7 0.7 43.0 1.8 49.2 1.2 50.1 3.1
KWARA 52.2 0.5 51.8 1.9 53.8 2.3 52.2 2.0
LAGOS 53.6 0.5 54.3 0.9 54.5 0.9 51.1 1.3
NASARAWA 49.2 0.8 50.2 3.3 = = 49.8 2.6
NIGER 49.3 0.6 46.5 3.8 52.4 2.2 48.2 3.1
90
OGUN 51.2 0.5 49.7 0.9 50.0 2.0 48.7 3.9
ONDO 50.8 0.5 51.6 2.3 51.2 1.9 52.0 1.2
OSUN 50.4 0.4 53.2 2.4 52.7 1.4 55.2 1.5
OYO 51.3 0.6 50.6 1.0 48.9 1.5 50.3 0.9
PLATEAU 46.2 0.5 50.2 4.2 46.2 1.5 47.4 1.5
RIVERS 51.3 0.5 53.5 1.2 50.5 1.6 50.0 1.3
SOKOTO 46.3 0.5 51.2 2.2 46.0 1.6 45.7 1.5
TARABA 46.0 0.5 48.9 1.2 47.3 3.5 45.4 1.4
YOBE 48.6 0.6 48.6 2.4 53.1 2.7 45.1 3.2
ZAMFARA 48.1 0.5 47.0 2.0 55.5 6.3 47.6 1.8
FCT 52.8 1.2 52.2 1.6 54.3 1.9 51.9 1.5
National 49.8 0.1 50.6 0.3 50.8 0.4 49.5 0.3
Distances Traveled to School as they are Related to Achievement
Table 7.5 contains the achievements for different distances traveled to school as they are
related to achievement. The national mean of learners who travel less than 1km, 1 to 2km,
greater than 2 to 3km and more than 3km are 49.4, 49.80, 50.3 and 51 respectively. Learners
from 20, 20, 16 and 18 states performed above the national average for the distances of less
than 1km, 1 to 2km, greater than 2 to 3km and more than 3km respectively. States like
Ebonyi (54.3, 52.6, 52.3 and 54.2), Delta (53.4, 53.5, 50.9 and 51.5) and Akwa-Ibom (53.0,
50.8, 50.4 and 51.4 exhibit high achievement while states like Taraba (45.6, 46.0, 46.3 and
46.2), Gombe (46.1, 43.9, 45.8 and 47.3) and Plateau (46.4, 46.9, 46.7 and 45.3) exhibited
low achievement. These results indicate that variation of achievement within states was not
dependent on distance traveled to school.
Table 7.5: Distance from Home to School as Related to Achievement in English Studies
State
Less than
1km 1 to 2km >2 to 3km More than 3km
Mean SE
Mea
n SE
Mea
n SE
Mea
n SE
ABIA 52.9 0.9 51.2 0.8 53.5 1.1 52.3 1.0
ADAMAWA 50.5 0.9 48.3 0.9 46.6 0.9 47.2 1.7
AKWA-IBOM 53.0 1.0 50.8 1.0 50.4 0.9 51.5 0.7
ANAMBRA 51.4 1.1 51.5 0.8 52.9 0.9 51.9 0.7
BAUCHI 47.4 0.8 48.2 1.0 47.6 1.0 46.8 2.5
BAYELSA 49.6 1.4 49.7 1.5 49.4 1.0 47.9 1.2
BORNO 48.0 0.7 47.0 1.0 46.9 1.4 49.5 3.5
BENUE 46.8 4.6 44.6 1.4 43.0 1.7 42.0 3.7
CROSS
RIVER 51.0 1.0 50.3 1.0 51.8 1.1 50.5 0.9
DELTA 53.4 0.8 53.5 0.7 50.9 1.1 52.4 1.3
EBONYI 54.3 0.8 52.6 0.9 52.3 1.0 54.2 0.8
EDO 51.9 1.1 50.4 1.1 49.9 1.1 51.5 1.2
EKITI 50.5 0.6 50.8 0.7 51.9 1.0 52.4 2.3
ENUGU 51.4 1.3 52.0 0.9 51.6 1.0 51.5 0.7
91
State
Less than
1km 1 to 2km >2 to 3km More than 3km
Mean SE
Mea
n SE
Mea
n SE
Mea
n SE
GOMBE 46.1 0.6 43.9 0.7 45.8 1.1 47.3 1.4
IMO 52.1 1.1 51.8 1.0 54.0 0.8 53.0 1.0
JIGAWA 46.8 0.6 47.5 1.0 45.2 1.3 49.8 2.6
KADUNA 47.3 0.8 47.8 0.9 49.2 0.9 48.9 1.1
KANO 48.7 0.7 47.4 1.8 45.4 2.2 46.6 1.2
KATSINA 49.1 0.7 48.3 0.8 49.6 1.8 47.3 1.6
KEBBI 48.8 0.7 48.9 0.9 50.1 1.2 49.9 1.4
KOGI 49.4 1.1 48.9 1.0 47.7 1.4 52.4 1.8
KWARA 52.6 0.8 51.8 0.8 50.9 1.2 53.4 1.1
LAGOS 53.0 0.9 54.2 0.7 54.9 0.8 52.6 0.6
NASARAWA 48.3 1.5 50.8 1.5 48.1 1.3 50.0 1.4
NIGER 48.9 0.7 48.3 1.4 50.8 1.9 56.0 1.4
OGUN 51.5 0.9 52.0 0.7 50.1 0.8 48.6 1.0
ONDO 51.8 0.6 50.5 0.8 49.4 1.3 51.3 1.6
OSUN 50.0 1.0 50.9 0.7 51.9 0.9 51.1 0.8
OYO 49.1 0.8 51.2 0.8 51.5 0.9 51.7 1.0
PLATEAU 46.4 0.7 46.9 0.8 46.7 1.2 45.3 1.4
RIVERS 50.9 1.0 51.2 0.9 50.4 0.9 52.2 0.7
SOKOTO 47.0 0.7 46.0 0.8 47.0 1.1 46.5 1.3
TARABA 45.6 0.7 46.0 0.8 46.3 0.9 46.2 1.2
YOBE 48.4 0.6 50.2 1.3 46.5 2.4 48.2 1.3
ZAMFARA 48.5 0.7 47.7 1.1 47.1 1.8 48.6 1.3
FCT 52.4 1.7 53.4 1.5 52.9 1.7 52.3 1.3
National 49.4 0.1 49.8 0.2 50.3 0.2 51.0 0.2
92
Number of Meals per Day as Related To Achievement in English Studies
Figure 7.26: Number of Meals per Day as Related to Achievement
The mean achievement of
learners who ate once, twice,
three times and four times a
day were 49, 49.7, 50 and
50.4 respectively. Learners
from 17, 21, 17 and 16 states
performed above the national
average for those who ate
once, twice, three times and
four times a day respectively.
Among the top performing
states, the averages were
Bayelsa (58.4, 48.3, 49.2 and
49.9), Imo (56.3, 52.7, 52.5
and 59) and Enugu (54.4,
52.1, 51.5 and 52.1) while
among the low performing
states, the averages were
Kano (38.3, 46.8, 48.5 and
45.8), Benue (40.0, 39.8, 46.0
and no value) and Sokoto
(42.7, 46.5, 46.8 and 47.4) for
learners who ate once, twice,
three times and four times a
day. Some substantial
differences were noticed.
93
Possession of Textbooks as Related to Achievement in English Studies
Figure 7.27: Possession of Textbooks as Related to Achievement
The national average for
learners who do not have
textbooks was 49.6
which was smaller than
the average for learners
that had textbooks.
Learners without
textbooks from 20 states
performed above
national average while
learners with textbooks
from 17 states
performed above the
national mean. Among
the high performing
states, Lagos (53.7 and
53.7), Ebonyi (53.3 and
53.6) and Delta (52.9 and
52.8) for learners
without textbooks and
those with textbooks
respectively. Among the
low performing states,
Taraba (45.5 and 46.5),
Gombe (45.7 and 45.3)
and Jigawa (46.3 and
47.8). Differences in
achievement between
learners with textbooks
and those without
textbooks was not
substantial.
94
Liking School as Related to Achievement in English Studies
Figure 7.28: Liking School as Related to Achievement
Learners from 15 states
did not indicate that they
do not like schooling. The
National average for
learners at the national
level for those who do not
like schooling was 49.5
while that for those who
like schooling was 50.
Number of states
performing the national
average for those who do
not like schooling was 11;
while for learners who
like schooling were from
15 states. Learners who
like school exhibited the
better achievement.
95
Observations and Challenges
1. The mean achievement on the essay was the expected mean of 50 for transformed score
while the mean for multiple choice test was 49.48. The superior achievement in the essay
test is further buttressed as learners found the essay test easier at 10th
, 25th
and 90th
percentiles. In addition, learners not being represented in the range of 75 and above for
the multiple choice is also indicative of the difficulty of the test. This better achievement
in the essay test could be as a result of greater flexibility in marking the essay. One may
need to look at construction of marking schemes for grading essay questions.
2. Variation in achievement across the grouping variables of gender and location is
unexpected as female learners are expected to display a better achievement in language
related courses.
3. Achievement was best in comprehension items, then higher order and lowest achievement
was noticed for knowledge. Learners from Lagos, FCT and Ebonyi consistently
performed better than learners from all other states. In the same vein, the low
performance of Benue and Gombe across all levels of the cognitive domain requires a
better approach to teaching English Studies in both Gombe and Benue states. As
achievement in comprehension was better than that of higher order and lowest for
knowledge, one needs to take a close look at the classification of the cognitive objectives.
Performance in reading and writing was best among the themes indicating that learners
found reading and writing easier than speech and grammatical accuracy. It is not
unexpected because of interference of the mother tongue with speech and grammatical
accuracy. Thus, more attention needs to be given to this difficult aspect of English
Studies.
4. Zones in the south consistently performed better in the Multiple Choice test than the essay
test. Zones in the north also performed better on the essay test than the Multiple Choice
test. Is this variation as a result of learners being test wise? Teachers‟ development
programme could focus on how these two tests should be constructed and used in
assessing the performance of learners.
5. Relationship between achievement and each level of assistance with homework and
number of meals a day were not very definite. The results with respect to non-learning
engagement and level of facilities are indicative point to the issue of use of available
facilities being very important in English Studies.
6. The distance learners travelled to school did not show any definite trend as regards
achievement in English studies.
7. At lower level of achievement, learners who liked their teachers performed better than
those who didn‟t, while at higher level of achievement learners who do not like teachers
performed better than those who like teacher. One wonders why this is the case. It is
likely that these learners who do not like teachers and perform better than those who like
teachers are self-motivated. Thus, motivation of all the learners has to be given needed
impetus.
8. Learners who liked school exhibited a better level of achievement in English studies.
96
Chapter Eight
Achievement in Mathematics
8.0: Introduction
The mathematics achievement related results and relational analysis are presented in this
chapter. In particular, the chapter focuses on achievement at national level, geo-political
zones and at state levels. This is followed with relational analysis of non-cognitive variables
with achievement. Finally, observations and challenges are presented.
8.1: Learners’ Achievement at National Level This sub-section presents results of Essay and Multiple Choice; range and percentile; group
achievement along gender (male and female) and school location (urban and rural) and
achievement along content and cognitive domains.
8.1.1: National Means
Figure 8.1 shows the achievement of learners in the multiple choice and essay tests in
mathematics. Learners performed better in multiple choice test (mean score = 50.17) than in
essay test (49.84). Thus learners displayed better skills in essay test than multiple choice test.
However, the two scores have the same standard error of 0.12.
Figure 8.1: National Mean on Multiple Choice and Essay Tests in Mathematics
8.1.2 Range and Percentile
The range shows the spread or cluster of the scores while the percentile indicates the relative
standing of an examinee‟s score vis-à-vis scores of other examinees. The scores were
categorised into five clusters: 0-39(Fail), 40-49(Fair), 50-59 (Good), 60-69 (Very good) and
70 and above (Excellent). From Figure 8, the cluster for the multiple choice test with largest
number of learners was 40-49 (45.6 percent) and for the essay it was also 40-49 (57.4
percent). On the whole, the achievement cluster in mathematics of 50-69 had more than 35.5
percent and 40.8percent of the participating learners for the essay and multiple choice tests
respectively. Effectively, 42.5 percent of the learners scored at or above the expected mean
for the transformed scores in the Essay test. On the other hand, 45.5 percent of the learners
scored at or above the expected mean for the transformed scores in the Multiple Choice test.
These results are not satisfactory for this level of learners.
49.6
49.7
49.8
49.9
50
50.1
50.2
Multiple Choice Essay
50.17
49.84
Sco
re
97
Figure 8.2: Distribution of Transformed Score Ranges in Mathematics Essay and
Multiple Choice Tests
In Figure 8.3, it is observed that learners who scored 39.23, 42.01, 47.6, 57.26 and 65.1 on
the multiple choice test performed better than 10 percent, 25 percent, 50 percent, 75 percent
and 90 percent of all learners who took the multiple choice test. Similarly, on the essay test,
learners who scored 40.25, 42.18, 46.05, 55.73 and 65.4 performed better than 10 percent, 25
percent, 50 percent, 75 percent and 90 percent of all learners who took the test. Learners
performed better on the essay test compared to the multiple choice test at the 10th
, 25th
and
90th
percentiles. At the 50th
and 75th
percentiles learners performed better on the Multiple
choice test than the Essay test. Thus learners found the essay test to be easier at the 10th,
25th
and 90th
percentiles.
Figure 8.3 Percentile Scores in Multiple Choice and Essay Tests for Mathematics
0
10
20
30
40
50
60
Fail (0 - 39 ) Fair (40 - 49
)
Good (50 -
59 )
Very Good
(60 - 69 )
Excellent (70
- 100 )
8.9
45.6
24
16.8
4.7 0
57.4
22.7
12.8
7
Sco
re
Multiple Choice Essay
0
10
20
30
40
50
60
70
10th 25th 50th 75th 90th
40.25 42.18 46.05
55.73
65.4
39.23 42.01
47.6
57.26
65.1
Sco
re
Percentile
Essay Multiple choice
98
8.1.3 Group Achievement
Two groups used were gender (male and female) and school location (urban and rural).Figure
8.4 shows that female learners performed better than the male learners in multiple choice and
essay tests. However, there is no significant difference between the achievement of male and
female learners in both multiple choice and essay test. The achievement of male learners
(49.8) was slightly lower than that of the female learners (49.89) in essay test. On the other
hand, the achievement of female learners in multiple choice was (50.26) higher than that of
male learners (50.09).
Figure 8.4: Mathematics Achievement by Gender
Figure 8.5 shows that learners in rural schools performed better than learners in urban schools
in the two tests. However, there seems to exist no substantial difference between the
achievements of learners in both rural and urban schools. The achievement of learners from
urban schools in essay was 49.7 while that of rural schools was 50.01. On the other hand,
achievement of learners in rural schools (50.29) was slightly higher than that of the learners
in urban schools (50.07) in multiple choice test.
49.4 49.6 49.8 50 50.2 50.4
Male
Female
50.09
50.26
49.8
49.89
Score
Essay Multiple Choice
49.4 49.6 49.8 50 50.2 50.4
Urban
Rural
50.07
50.29
49.7
50.01
Score
Essay Multiple choice
99
Figure 8.5: Mathematics Achievement by School Location
8.1.4 Achievements in the Content Domains
There were three themes in the Mathematics curriculum that were covered in this study.
These are Number and Numeration, Basic Operation and Algebraic process. The results in
this section were not transformed scores but raw scores expressed as percentages. In addition,
the analysis done here was limited to the items on the multiple choice test. The learners
performed best in items relating to Algebraic process (50.46), followed by Number and
Numeration (48.67) and finally in items based on basic operations (41.33). Thus the learners
found items on Basic operations difficult. The poor results in basic operation should be of
concern as this forms the foundation on which further study of mathematics is normally
based.
Figure 8.6: Achievement in the Content Domain
8.1.5 Achievements in the Cognitive Domain
Learners had the best achievement on items measuring comprehension component (48.51),
followed by items based on knowledge (45.51) and finally items on higher order (40.97). It
would have been expected that achievement should decrease in the order from knowledge to
comprehension and finally higher order. The fact that this is not the case could imply that the
items may not have been properly classified.
Figure 8.7: Achievement in Cognitive Domain
0 10 20 30 40 50 60
Algebraic Process
Basic Operation
Number and Numeration
50.46
41.33
48.67
Score
100
8.2: Achievement at Geo-Political Zones
This section looked at achievement in the Zones on both essay and multiple choice tests. It
also examined achievement by gender and location.
8.2.1 Achievement in Essay and Multiple Choice Tests
In Figure 8.8, the achievement in the Multiple Choice was better than that of the essay testin
all the zones with the exception of the North East zone. Learners in the South West (53) had
the best achievement in the Multiple Choice test while learners in the South South (50.46)
displayed the best achievement on the Essay test. Among the northern zones, North West
(50.09 and 49.89 respectively) performed best in both essay and multiple choice tests. The
South West (53) performed best in the multiple choice test while the South South (50.46)
displayed the best achievement in the Essay test among the zones in the south. Achievement
in the Multiple Choice test was generally better than that in the Essay across all the zones. It
was only the South South (50.46) that performed above the expected mean of the transformed
scores in the Essay test. On the other hand, almost all zones with the exception of North East
(46.91) and South South (49.63) performed above the expected mean of 50 for the
transformed scores in the multiple choice test.
Figure 8.8: Achievement in Essay and Multiple Choice Tests based on Geo-Political
Zones
8.2.2 Group Achievements across the Geo-Political Zones
In Table 8.1, the mean scores and standard error in Mathematics for levels of gender by geo-
political zones are presented. In the essay test, female learners performed better than male
learners in all zones with the exception of the North Central (49.72 and 50.05 respectively)
and South East (49.27 and 50.99 respectively). However, female learners showed superiority
in multiple choice test in three zones (North Central (50.58 and 49.6 respectively), North
West (50.58 and 49.96 respectively) and South South (49.85 and 49.41 respectively)). Male
learners performed better in essay test than multiple choice test in North Central (50.05 and
49.6 respectively), North East (49.27 and 47.52 respectively) and South East (50.99 and
50.67 respectively). Among the female learners, achievement in multiple choice test was
better in multiple choice test than essay for North Central (50.58 and 49.72 respectively),
101
North West (50.58 and 50.41 respectively), South East (50.62 and 49.73 respectively, South
South (49.85 and 49.44 respectively) and South west (52.59 and 49.97 respectively).
Table 8.1: Distribution of Mean and Standard Error of Mathematics Achievement in
Multiple Choice and Essay Tests for Zones by Gender
Zone Gender Multiple Choice Essay
Mean SE Mean SE
NORTH
CENTRAL
Male 49.6 0.47 50.05 0.49
Female 50.58 0.51 49.72 0.44
NORTH EAST Male 47.52 0.36 49.27 0.37
Female 46.35 0.37 49.89 0.42
NORTH WEST Male 49.96 0.38 49.27 0.35
Female 50.58 0.42 50.41 0.4
SOUTH EAST Male 50.67 0.32 50.99 0.41
Female 50.62 0.4 49.73 0.46
SOUTH SOUTH Male 49.41 0.41 49.39 0.39
Female 49.85 0.41 49.44 0.42
SOUTH WEST Male 53.54 0.38 49.92 0.41
Female 52.59 0.34 49.97 0.37
In Table 8.2, for the essay test, learners in urban schools performed better than those in rural
schools for North Central (49.94 and 49.82 respectively) and North West (49.95 and 49.61
respectively) and the reverse was the case for the other zones. With the multiple choice test,
rural learners performed better than the urban learners in North Central (50.49 and 49.8
respectively), North East (45.72 and 48.34 respectively), South East (51.85 and 49.75
respectively), South South (50.01 and 49.26 respectively) and South West (54.18 and 51.99
respectively). Among the urban learners, achievement in essay was better than that of the
multiple choice test for North Central (49.94 and 49.8 respectively), North East (49.06 and
48.34 respectively) and South East (50.2 and 49.72 respectively). With respect to rural
learners, achievement was better in multiple choice than essay for North Central (50.49 and
49.82 respectively), North West (49.79 and 49.61 respectively), South East (51.85 and 50.8
respectively), South South (50.01 and 49.74 respectively) and South West (54.18 and 50.18
respectively).
Table 8.2: Distribution of Mean and Standard Error of Mathematics Achievement in
Multiple Choice and Essay Tests for Zones by Location
ZONE Location Multiple choice Essay
Mean SE Mean SE
NORTH CENTRAL URBAN 49.8 0.45 49.94 0.43
RURAL 50.49 0.53 49.82 0.52
NORTH EAST URBAN 48.34 0.4 49.06 0.39
RURAL 45.72 0.32 50 0.39
NORTH WEST URBAN 50.62 0.38 49.95 0.36
RURAL 49.79 0.41 49.61 0.39
SOUTH EAST URBAN 49.75 0.32 50.2 0.39
RURAL 51.85 0.4 50.8 0.49
SOUTH SOUTH URBAN 49.26 0.41 49.1 0.4
RURAL 50.01 0.41 49.74 0.42
SOUTH WEST URBAN 51.99 0.33 49.74 0.37
102
RURAL 54.18 0.39 50.18 0.41
8.3 Achievement in Mathematics at State Level This section presented learners achievement in essay and multiple choice test at state level.
The group achievements in terms of gender (male and female) and school location (urban and
rural) were presented. The achievements in the content and cognitive domains were also
presented.
8.3.1 Achievement in Essay and Multiple Choice Tests
The national average for the Multiple Choice and essay tests were each 50. Learners from 18
states performed above the national average for the Multiple Choice test; learners from FCT
(57), Lagos (57) and Kebbi (52). States performing at the bottom include Gombe (41),
Kaduna (45) and Bauchi (45). Learners from 19 states performed above the national average
for Multiple Choice test. Learners from Ebonyi (54), Imo (51) and Plateau (51) were on top
of the performance chart while Kogi (49), Kwara (49) and Ekiti (49) performed at the bottom
of the chart. Learners from 19 states performed better in the Multiple Choice test than in the
Essay test.
Figure 8.9: Mean Score of Learners in Mathematics Essay and Multiple Choice Tests
Note:
i. Learners‟ score in multiple choice are out of the parentheses ii. Learners‟ score in essay are in parentheses
48.30
Average National
Score=50(50)
52)50)
51(50)
51(51)
52(49) 49(49)
51(50)
57(49
57(50)
(51(51)
45(49)
46(50)
50(50)
46(51))
41(51)
43(50) 49(49
52(49)
52(50
54(51)
53(48)
47(49) 52(52)
46(49)
47(50)
49(49) 45(51)
54(49)
52(49)) 54(49(
50(51)
53(48)
53(49)
54(49)
51(49) 49(49)
103
8.3.2 Group Achievements across the States
From Table 8.3, male learners in 18 states and FCT and female learners in 17 states and FCT
scored above their respective national means for the multiple choice test respectively. In the
essay test, male and female learners in 19 states and FCT scored above their respective
national means. Table 8.3 also shows that male learners in 22 states performed better (if only
marginally) than their female counterparts on the multiple choice test. Male learners in 19
states performed better than the female learners on the essay test.
In addition, male learners from Kebbi (61.15), FCT (58.78) and Osun (57.38) and female
learners from Kebbi (60.6), Osun (58.77) and FCT (57.14) displayed the best achievement in
the multiple choice test. With respect to the essay test the best performing states were Imo
(52.71), Ebonyi (52.2) and FCT (52.14) for male learners while among the female learners in
the test, the best performing states were Benue (53.43), Bauchi (52.32) and Adamawa
(51.89).
Table 8.3: Distribution of Mean Scores in Multiple Choice and Essay Tests based on
Gender across States
States
Multiple Choice Essay
Male Female Male Female
Mean SE Mean SE Mean SE Mean SE
Abia 48.03 0.66 47.88 0.69 47.55 0.79 47.25 0.96
Adamawa 50.60 1.12 48.36 1.10 50.57 0.88 51.89 1.33
Akwa-Ibom 50.72 1.02 50.93 1.12 49.86 0.83 48.44 0.86
Anambra 48.71 0.64 51.08 0.97 50.53 0.86 49.90 1.03
Bauchi 52.33 1.02 51.53 0.95 48.35 0.98 52.32 1.13
Bayelsa 53.09 2.11 48.28 1.54 51.16 1.85 50.25 1.67
Borno 42.53 0.56 43.23 0.60 49.79 1.01 49.22 0.89
Benue 41.47 0.82 41.06 0.78 49.67 2.45 53.43 3.15
Cross River 46.86 0.98 47.45 0.78 49.85 1.09 48.97 0.86
Delta 52.84 1.05 54.66 0.92 49.81 0.97 49.95 0.97
Ebonyi 50.58 0.68 51.72 0.94 52.20 0.94 50.95 1.19
Edo 46.59 0.82 48.60 0.83 49.90 0.96 49.50 1.14
Ekiti 52.99 0.85 50.08 0.69 50.20 1.00 50.79 0.91
Enugu 51.08 0.67 50.62 0.71 52.01 0.97 50.26 1.00
Gombe 42.61 0.38 41.96 0.43 49.34 0.92 48.02 0.83
Imo 54.93 0.80 51.81 1.08 52.71 0.99 50.29 0.90
Jigawa 44.84 0.70 47.11 0.69 47.61 0.93 50.49 0.86
Kaduna 45.49 0.56 43.70 0.63 49.81 0.81 49.60 1.17
Kano 48.44 1.18 49.32 1.16 50.53 1.25 51.38 1.44
Katsina 47.65 1.00 50.68 1.30 49.08 0.95 50.71 1.08
Kebbi 61.15 1.00 60.60 0.91 49.42 1.10 49.70 0.98
Kogi 47.93 0.95 49.37 0.99 47.07 1.10 48.78 1.06
Kwara 56.43 1.09 56.28 1.16 51.47 1.06 49.70 0.91
Lagos 55.72 0.95 54.62 0.81 49.72 1.01 51.18 0.90
Nasarawa 44.12 0.77 40.90 0.77 50.08 1.26 49.41 1.63
Niger 50.00 1.29 55.97 1.51 48.52 1.09 51.20 1.40
104
Ogun 50.74 0.86 49.12 0.78 48.50 0.96 47.85 0.88
Ondo 51.28 1.01 51.10 0.92 51.64 1.02 49.21 0.82
Osun 57.38 0.84 58.77 0.77 50.21 1.02 51.56 1.02
Oyo 52.57 0.90 51.63 0.76 49.08 1.00 48.87 0.81
Plateau 44.45 0.60 43.80 0.46 51.12 1.19 48.95 0.86
Rivers 47.84 0.60 47.35 0.75 47.73 0.72 50.15 1.10
Sokoto 47.06 0.59 45.96 0.69 49.45 0.85 50.93 0.98
Taraba 43.30 0.53 42.70 0.48 49.89 0.89 49.24 0.91
Yobe 53.55 0.75 52.63 1.17 47.77 0.75 48.85 1.05
Zamfara 56.82 0.95 55.91 1.23 49.27 0.78 50.39 1.14
FCT 58.78 1.33 57.14 1.18 52.14 1.93 50.22 1.11
National 50.09 0.16 50.26 0.17 49.80 0.16 49.89 0.17
In Table 8.4, mean scores for the essay test and multiple choice tests in Mathematics are
presented for school location. In twenty two states, learners from rural schools performed
better than learners in the urban school in the mathematics multiple choice items. Also,
learners from rural schools in 19 states and the FCT performed above their national mean of
in the mathematics multiple choice test items. On the other hand, learners in urban schools
from 18 states and the FCT scored higher than the national mean of urban schools (50.07) in
the mathematics multiple choice test.
The achievements of learners in mathematics essay test items were not substantially different
in urban and rural schools. In twenty two states and the FCT, learners from rural schools
performed better than learners in the urban school in the mathematics essay test items. Also,
learners from rural schools in 15 states and FCT displayed achievement better than the
national mean of learners in rural schools (50.01) in the mathematics essay test. On the other
hand, learners in urban schools from 18 states performed below the national mean of learners
in urban schools (49.70).
Table 8.4: Multiple Choice and Essay Test Mean Score of JSS 3 Learners in
Mathematics by School Location
State
Multiple Choice Essay
Urban Rural Urban Rural
Mean SE Mean SE Mean SE Mean SE
ABIA 47.56 0.51 49.35 1.2 48 0.71 45.5 1.09
ADAMAWA 51.9 1.27 47.39 0.92 51.03 0.98 51.15 1.14
AKWA-
IBOM
50.88 1.12 50.75 1.02 49.37 0.86 49.14 0.84
ANAMBRA 49.58 0.77 49.98 0.83 49.3 0.79 51.46 1.11
BAUCHI 50.7 0.96 53.27 1 49.4 1.01 51.73 1.17
BAYELSA 47.51 1.57 52.46 1.85 46.57 1.3 53.3 1.75
BORNO 43.3 0.45 42.47 0.71 48.33 0.88 50.78 1
BENUE 39.91 0.73 42.18 0.78 52.89 3.18 50.16 2.46
CROSS
RIVER
47.56 0.78 46.65 0.96 48.96 0.86 49.9 1.08
DELTA 52.73 1.08 54.84 0.87 50.45 1.02 49.36 0.93
EBONYI 51.65 0.8 50.48 0.76 50.93 1.08 52.39 1.01
105
EDO 48.66 0.97 46.63 0.68 50.05 1.13 49.36 0.99
EKITI 50.5 0.7 52.53 0.86 50.02 0.86 51.35 1.09
ENUGU 50.45 0.61 51.56 0.8 50.66 0.87 52.12 1.17
GOMBE 43.14 0.65 42.01 0.31 48.73 1.19 48.71 0.74
IMO 50.88 0.94 55.9 0.86 53.67 0.99 50.04 0.94
JIGAWA 46.97 0.7 45 0.69 49.39 0.83 49.06 1
KADUNA 45.77 0.68 44.02 0.52 51.24 1.09 48.36 0.78
KANO 51.02 1.17 46 0.98 52.43 1.3 48.98 1.36
KATSINA 50.25 1.15 47.65 1.13 49.58 0.93 50.11 1.1
KEBBI 58.86 1.07 62.85 0.76 48.87 0.97 50.34 1.11
KOGI 46.06 0.9 51.48 0.96 47.75 1.03 48.24 1.14
KWARA 57.8 1.23 55.19 1.04 51.08 1.04 50.17 0.94
LAGOS 54.86 0.83 55.34 0.92 51.49 0.91 49.43 0.99
NASARAWA 44.08 0.77 40.51 0.54 50.37 1.26 48.63 1.54
NIGER 50.17 0.97 64.65 2.33 49.71 0.94 49.92 2.39
OGUN 49.55 0.66 50.32 1.05 47.6 0.76 48.94 1.15
ONDO 48.57 0.78 53.31 1.02 50.98 0.95 49.73 0.88
OSUN 56.39 0.78 59.77 0.8 49.91 1.02 51.91 1.03
OYO 51.8 0.83 52.28 0.81 48.49 0.87 49.47 0.9
PLATEAU 43.78 0.56 44.38 0.48 49.46 1 50.36 1.03
RIVERS 47.32 0.65 48.03 0.68 47.79 0.78 49.46 0.94
SOKOTO 46.13 0.53 47.43 0.85 50.01 0.81 50.4 1.06
TARABA 42.43 0.59 43.44 0.47 49.29 1.12 49.83 0.78
YOBE 53.21 0.79 53.31 0.93 48.01 0.71 48.54 1.22
ZAMFARA 58.39 1.1 54.46 0.99 49.17 0.85 50.17 0.98
FCT 57.83 1.01 57.8 1.89 50.66 1.15 52.44 2.34
NATIONAL 50.07 0.16 50.29 0.17 49.7 0.16 50.01 0.18
8.3.3: Achievements in Content and Cognitive Domains
The achievements in this section are raw scores expressed as normal percentages and are not
transformed scores. Three themes were in the content domain of Mathematics. These were
Number and Numeration, Basic Operation and Algebraic process. The cognitive domains
were knowledge, comprehension and higher order objectives.
106
Number & Numeration
Figure 8.10: Achievement in Mathematics on the Theme Number and Numeration
From Figure 8.10,
1. 17 states and FCT performed above the national average; top performing states here
include Kebbi (64.95), Osun (61.09) and FCT (60.73).
2. The states with lowest achievement on this cognitive objective were Benue (34.24),
Gombe (35.38) and Borno (36.67).
3. The achievement on this theme was good.
107
Basic Operations
Figure 8.11: Achievement in Mathematics on the Theme Basic Operation across the
States
From Figure 8.11
1. 16 states and FCT performed above the national average; states performing on top here
include Kebbi (61.63), Zamfara (56.32) and Osun (55.94).
2. States performing poorly on this theme were Benue (26.39), Gombe (28.95) and Taraba
(29.23). Generally, achievement was Fair.
108
Algebraic Process
Figure 8.12: Achievement in Mathematics on the Theme Algebraic Process across the
States
From Figure 8.12:
1. 19 states and FCT performed above the national average top achieving states include
Kebbi (56.87), Osun (55.92) and Kwara (55.19).
2. States at the bottom on this theme were Benue (41.78), Gombe (43.74) and Nasarawa
(44.62).
3. Achievement on this theme was equally good.
109
Knowledge Domain
Figure 8.13: Achievement in the Knowledge Objectives of the Multiple Choice Test in
Mathematics across the States
In Figure 8.13,
1. 17 states and FCT performed above the national average, with top achieving state as
Kebbi (57.36), Osun (54.58) and FCT (54.25).
2. States at the bottom include Benue (34.99), Gombe (36.92) and Nasarawa (37.37).
110
Comprehension Domain
Figure 8.14: Achievement in the Comprehension Objectives of the Multiple Choice Test
in Mathematics across the States
In Figure 8.14,
1. 17 states and FCT performed above the national average on the comprehension
objective; states performing on top including Kebbi (66.92), Osun (62.50) and the
FCT (62.05).
2. Benue State (32.56), Gombe (34.20 and Borno (35.41) were at the bottom of the
achievement chart.
111
Higher Order Domain
Figure 8.15: Achievement in the Higher-Order Objectives in the Multiple Choice Test
in Mathematics across the States
From Figure 8.15,
1. Learners in 16 states and FCT performed above the national average (40.97) on items
testing Higher Order Objectives; top performing states here include Kebbi (57.74),
Osun (52.82) and Zamfara (52.60).
2. States that performed at the bottom of the figure were Benue (28.88), Gombe 30.30)
and Nasarawa (30.90).
112
8. 9: Relational Analysis
Introduction
This subsection deals with the relationship between the learners‟ contextual variables that
may influence their achievement in Mathematics. Specifically, how homework assistance
provided; available learning facilities; after school non-learning engagement; occupation of
father and mother; means of going to school; distance between learners‟ home and school; number of meal per day; learners‟ possessing textbook on Mathematics; liking teacher and school affected learners achievement in Mathematics were discussed.
Homework Assistance as Related to Achievement in Mathematics
From Table 8.5, nationally, the mean of learners with low, moderate and high assistance were
47.9, 48.2 and 48.1 respectively; they were not substantially different though. The range for
the low level of assistance was 17.6 (57.3 (Kebbi state) to 39.7 (Nasarawa state) with 18
states performing above the national mean for this level of assistance. At the moderate level
of assistance, the range is16 (56.2 (Kebbi state) to 40.2 (Gombe state)) with learners from
twenty states performing above the national mean of the group while at the high level of
assistance the range was 15.6 (57 (Osun state) to 41.4 (Benue state)) with learners from
seventeen states performing above the national mean. Based on these facts, it is difficult to
say in which way assistance with homework affects achievement in mathematics.
Table 8.5: Assistance with Homework as Related to Achievement in Mathematics
Low Moderate High
state Mean SE Mean SE Mean SE
ABIA 45.3 0.8 44.6 0.7 45.9 1.2
ADAMAWA 44.4 1.4 49.3 1.1 49.3 1.3
AKWA-IBOM 48.5 1.1 47.4 1.0 49.8 1.6
ANAMBRA 46.3 0.8 49.9 0.9 46.5 1.4
BAUCHI 48.2 1.1 51.2 1.0 49.9 1.5
BAYELSA 41.8 3.3 50.8 1.6 48.5 2.2
BORNO 42.2 1.1 41.8 0.6 42.1 0.8
BENUE 41.4 1.9 42.3 1.7 40.7 2.4
CROSS RIVER 46.3 1.5 45.8 0.8 44.0 1.2
DELTA 51.6 1.5 48.2 1.2 53.0 1.0
EBONYI 48.5 1.2 50.7 0.9 48.8 1.1
EDO 45.5 1.1 46.2 0.9 45.9 1.0
EKITI 49.4 0.8 49.2 0.9 49.6 1.2
ENUGU 49.1 2.6 49.5 0.5 48.0 1.4
GOMBE 42.7 0.7 40.2 0.6 41.1 0.8
IMO 51.5 1.0 53.2 0.9 48.3 1.4
JIGAWA 44.0 1.2 45.0 0.8 43.9 0.9
KADUNA 43.4 0.9 43.4 0.6 45.1 1.2
KANO 47.3 1.6 48.5 1.2 46.0 1.6
KATSINA 45.6 1.5 47.8 1.0 46.7 1.5
KEBBI 56.4 1.3 56.2 1.3 57.3 1.0
KOGI 43.3 1.1 46.6 0.8 46.1 1.4
113
KWARA 50.6 1.7 55.0 0.9 49.8 1.8
LAGOS 53.5 0.9 53.1 1.3 50.4 1.1
NASARAWA 42.0 1.6 42.9 0.9 39.7 1.7
NIGER 50.0 2.2 50.8 1.2 46.6 2.1
OGUN 48.1 1.3 46.8 1.0 46.4 0.9
ONDO 50.1 1.5 49.3 0.9 48.1 1.1
OSUN 57.0 1.1 54.2 0.7 56.9 1.9
OYO 49.9 1.2 48.4 0.8 49.6 1.0
PLATEAU 43.7 0.7 42.7 0.7 43.4 1.0
RIVERS 46.4 1.0 45.8 0.7 44.0 0.9
SOKOTO 44.6 1.1 45.4 0.8 45.4 0.8
TARABA 42.1 0.9 42.1 0.6 42.5 0.9
YOBE 48.6 1.1 48.2 0.8 54.8 1.0
ZAMFARA 51.9 1.5 53.6 1.0 53.2 1.2
FCT 54.9 1.6 53.7 1.6 56.2 1.6
National 47.9 0.2 48.2 0.2 48.1 0.2
114
Availability of Learning Facility as Related to Achievement
In Figure 8.16, the distributions of mean scores for levels of availability of learning facilities
are presented. At the national level, the mean for low, moderate and high levels of available
facilities are 49.1, 50.1 and 50.8 respectively; this indicates that achievement was best when
the facilities are very much available. For low, moderate and high levels of available
facilities, learners from 24, 16 and 18 states performed above their respective national mean.
Among the best performing states were Lagos (54.7, 53.9 and 53.0), Imo (53.7, 52.8 and
51.7) and Abia (53.2, 51.6 and 53.5) and among states that did not perform were; Benue
(45.8, 47.5 and 46.3, Gombe (45.1, 45.5 and 48.2) and Plateau (45.8, 47.5 and 46.3) for low,
moderate and high levels of available facilities respectively. Achievement does not seem to
be related to available facilities.
Figure 8.16: Availability of Learning Facilities as Related to Achievement in
Mathematics
115
Out of School Non Learning Engagement as Related to Achievement in Mathematics
In Figure 8.17, achievement based on out of school non-learning engagements are presented.
From the table, the national mean for low, moderate and high level of non-learning
engagements were 48.3, 47.6 and 48.7 respectively. This indicates that at moderate level of
engagement, achievement drops lower than that at low level of engagement and rises to a
level that is higher than both low and moderate levels of engagement. Learners from 17, 21
and 15 states performed above the national average for low, moderate and high levels of non-
learning engagements respectively. Among the best performing states, the achievement were
Kebbi (56.3, 56.9 and 57.2), Osun (57.4, 54.5 and 54.6) and Lagos (54.0, 53.1 and 50.2);
while for states that did not perform well such as Gombe (41.2, 40.9 and 41.5), Taraba (41.9,
41.9, 43.1)and Borno (41.2, 42.2 and 42.2) in the order low, moderate and high levels of
non-learning engagement. The variation across levels within the states did not show
substantial differences for different levels of engagement.
Figure 8.17: Out of School Learning Engagement as Related to Achievement in
Mathematics
116
Occupation of Fathers as Related to Achievement in Mathematics
In Figure 8.18, the national mean of learners whose fathers were into the occupational groups
farming/fishing, business/trading, worker (public/private) and „other‟ were 47.9, 48.4, 48.2 and 47.9 respectively. Such learners performed best and learners whose fathers were into
farming/fishing and „other‟ displayed the lowest level of achievement. Learners from 16, 17 and 18 states scored above the national average for the occupational groups farming/fishing,
business/trading, worker (public/private) and „other‟. States for which achievement was high include FCT (48.7, 57.3, 54.0 and 59.8), Osun (54.1, 56.9, 53.0 and 53.7) and Kebbi (57.3,
55.6, 58.3 and 50.6) with means in the order of the occupational groups: farming/fishing,
business/trading, worker (public/private) and „other‟ respectively. It would seem that it is only in the case of FCT that learners whose fathers are in the occupational groups
farming/fishing showed large difference from that of other groups. Among the states not
performing well are Gombe (41.2, 40.9, 40.9 and 40.6), Nasarawa (45.2, 41.4, 40.9 and 42.1)
and Taraba (42.9, 41.4, 42.0 and 43.4) with means in the order of the occupational groups
farming/fishing, business/trading, worker (public/private) and „other‟. Again, it would seem that it is only in the case of FCT that learners whose fathers are in the occupational groups
farming/fishing showed large difference from that of other groups.
Figure 8.18: Occupation of Fathers as Related to Achievement in Mathematics
117
Mothers’ Occupation as Related to Achievement in Mathematics
In Figure 8.19, the national mean of learners whose mothers are into the occupational groups
farming/fishing, business/trading, worker (public/private) and „other‟ were 47.2, 48.3, 48 and 48.3 respectively. This indicates that learners whose mothers are into business/trading and
„other‟ performed best and learners whose mothers are into farming/fishing had the lowest level of achievement.
Figure 8.19: Occupation of Mothers as Related to Achievement in Mathematics
118
Normal Means of Going to School as Related to Achievement in Mathematics
In Figure 8.20, the national mean for the normal mode of going to school were 48, 47.7, 46.4,
48.3 and 48.4 for learners who go to school walking, with donkey, canoe,
okada/bicycle/tricycle, and Taxi/bus. Thus, learners who go to school with taxi/bus exhibited
the best achievement while those who go to school with canoe showed the least achievement.
It is only in few states that donkey and canoe are used as can be seen from the figure; they are
therefore omitted in further discussion. Among the learners who go to school walking, using
Okada/bicycle and tricycle and taxi/bus, learners in 18, 13 and 18 states respectively
performed up to 48.4 which is the highest mean for modes of going to school in the
mathematics test. Thus, achievement was best for learners who use Taxi/bus, followed by
those who walk and those who use okada/bicycle/tricycle exhibited the least achievement.
Figure 8.20: Normal Means of Going to School as Related to Achievement in
Mathematics
119
Distance between Home and School as Related to Achievement in Mathematics
In Figure 8.21, the national mean for learners who travel a distance of less than 1km, 1 to less
than 2km, 2km to 3km and more than 3km were 48.1, 48.1, 47.9 and 48.3 respectively; the
differences here do not look sufficiently large. Learners from 17 states in each category of
distance of less than 1km, 1 to less than 2km, 2km to 3km and more than 3km performed
above the national average. This achievement ordering shows that learners who travel more
than 3km exhibited the best achievement.
Figure 8.21: Distance to School as Related to Achievement in Mathematics
120
Number of Meals a Day as Related to Achievement in Mathematics
In Figure 8.22, it is observed that in Kano state and FCT, no learner took one meal a day.
The mean achievement of learner who took one meal, two meals, three meals and 4 meals a
day were 50.2, 47.7, 48 and 47.9 respectively. On this basis, it can be said that learners who
took one meal performed best while those who ate two times had the least achievement.
When we examine the number of states in which learners had a mean of up to 50.2 which is
the mean for one mean, 12, 10, 10 and 14 states performed at this level for learners who eat
one meal, two meals, three meals and 4 meals a day respectively. It seems relationship
between number of meals and achievement is not very clear.
Figure 8.22: Number of Meals per Day as Related to Achievement in Mathematics
121
Possession of Textbook as Related to Achievement in Mathematics
Figure 8.24 presents results based on relationship between possession of textbooks and
achievement. Learners who did not have textbooks (48.2) performed better than those who
had textbooks (48.1). When the number of states performing up to 48.2 for the groups is
considered, learners from 19 states without textbooks and learners from 19 states with text
books performed at this level. Thus learners without textbooks exhibited better achievement
in Mathematics.
Figure 8.24: Possession of Textbook as Related to Achievement in Mathematics
122
Liking Teachers and Achievement in Mathematics
From Figure 8.25, it is observed that in eleven states there were no learners who did not like
their teachers. Nationally, the mean for learners who do not like their teachers (52.2) was
better than that of learners who liked their teachers (48). The learners who do not like their
teachers and those who like their teachers with means up to 50.2 were from 11 and 6 states
respectively. Thus, learners who do not like their teachers performed better than those who
liked the teachers. This possibly could be due to the fact that the learners loath learning
mathematics as teachers in most cases do not use a humanistic approach in teaching it.
Figure 8.25: Liking Teacher and Achievement in Mathematics
123
Liking School as Related to Achievement in Mathematics
From Figure 8.26, it is observed that in sixteen states there were no learners who did not like
schooling. The national mean for learners who liked schooling and those who do not were
49.6 and 48 respectively. If we consider states in which there are learners who like schooling
and those who do not like schooling, learners from 9 states performed above the national
mean for learners who do not like schooling while learners from 11 states performed above
the national average for those who like schooling. Among the top scoring states, were Kebbi
(35.9 and 56.5), Osun (52.8 and 56.1) and Kwara (42.9 and 53.6) while among the low
scorers were Gombe (38.3 and 41.2), Taraba (40.2 and 41.9) and Borno (45.2 and 42.0) in the
order of not like schooling and liking schooling. Differences in achievement between learners
who do not like schooling and those who like schooling were substantial in some of the cases
but not definitely in favour of one group.
Figure 8.26: Liking School as Related to Achievement in Mathematics
124
Observations and Challenges
Observations made in this chapter include the following:
1. Mean achievement in Multiple Choice test was a little higher than what was expected
from a transformed score while it was lower than the expected mean of 50 for Essay. The
range within which the largest number of learners performed was 40-49 in both Essay and
Multiple Choice tests. However, 36.9 percent and 42.0 percent of learners achieved up to
50 in the Essay and Multiple Choice tests. Thus, the achievement in Multiple Choice is
better than that in the Essay. An important implication of this result is that relying on only
one test format may not provide the objectivity expected of tests generally. Therefore, the
use of both tests forms should be recommended for use in assessments.
2. Female learners performed better in both Essay and Multiple Choice tests though the
differences were not substantial. Learners from rural schools performed better in both
Essay and Multiple Choice tests. These results were not unexpected as results on gender
and location differences in Mathematics have been mixed. These can be explained in
terms of cultural, family influences, socio-economic status of parents, as well as cultural
and traditional influences. There is need to consider these in any meaningful attempt to
enhance achievement.
3. Achievement was best on items relating to algebraic process. This is not expected as
number and numeration was the bed rock on which Mathematics learning is based. There
could have been classification difficulties or over emphasis on Algebraic processes.
4. Learners exhibited the best achievement on items testing comprehension. What would
have been expected is best performance at the knowledge level. Questions that arise
would be on classification. There should be a better and more incisive classification of the
cognitive objectives.
5. No clear trend in relationship between assistance with homework, available facilities and
non-learning engagement and achievement in Mathematics. One would have expected
level of assistance and available facilities to be positively related. As this is not the case,
then the level of assistance and available facilities may not be the important factors but
quality of assistance and use of the facilities. These are issues that schools may need to
focus on. With respect to non-learning engagement, the type of engagement could also be
explored.
6. Learners who took taxi and those who travelled more than 3km exhibited best
achievement. The comfort from family car was not an issue here. In the same token, the
distance could have afforded the learners greater opportunity to interact on academic
related issues.
7. Learners without textbooks, learners who don‟t like teacher and those who don‟t like
school performed better than their counterparts. These are very much at variance with
what should be expected. It is likely that this group of learners had an inherent motivation
that propelled them to perform at their best.
125
Chapter Nine
Achievement in Basic Science and Technology
9.0 Introduction
The achievement related results and relational analysis are presented in this chapter. In
particular, the chapter focuses on achievement at national level, achievement at geo-political
zone and at state levels. The achievement related results and relational analysis of cognitive
and non-cognitive variables are also presented. Observations and challenges from the results
are also presented.
9.1 Achievement at National Level
This sub-section present results of Essay and Multiple Choice; range and percentile; group
achievement along with gender (male and female), and school location (urban and rural) as
well as achievement along Content and Cognitive domains.
9.1.1 National mean
Figure 9.1 shows achievement of learners in the Multiple Choice and Essay tests in basic
Science and technology. On the average, learners performed better in the Essay test (mean
score = 46.08) than the Multiple Choice test (45.71).
Figure 9.1: Distribution of Mean Scores for Essay and Multiple Choice
9.1.2 Range and Percentile
The range shows the spread or cluster of the scores while the percentile indicates the relative
standing of an examinee‟s score vis-à-vis other scores of other examinees. The scores were
categorised into five clusters: 0-39 (Fail), 40-49(Fair), 50-59 (Good), 60 – 69 (Very good) and
70 and above (Excellent). From Figure 9.2, the cluster within which most learners scored for
the Essay test was 50-59 (30.2percent) and for the Multiple Choice test was also 50-59
(31percent). On the whole, the range of the achievement in Basic Science and Technology of
45.4 45.6 45.8 46 46.2
Multiple Choice
Essay
45.71
46.08
Score
126
50 and above had more than 52.7percent of the participating learners for the Multiple Choice
test and 53.3percent for the Essay test. Thus the results are satisfactory for learners at this
level.
Figure 9.2: Distribution of Transformed Score Ranges in Essay and Multiple Choice
Tests
In Figure 9.3, learners who scored 36.66, 41.34, 49.9, 57.99 and 63.51 performed better than
10 percent, 25 percent, 50 percent, 75 percent and 90 percent of all learners respectively who
took the Multiple Choice test. In the same vein, learners who scored 35.63, 40.72, 49.2, 57.68
and 64.47 performed better than 10 percent, 25 percent, 50 percent, 75 percent and 90 percent
of all learners that respectively took the Essay test. It is observed that the achievement of
learners at all the percentiles in the multiple choice test was higher than that in the Essay test
with the exception of the 90th
percentile. Thus, achievement at lower percentiles could
indicate that learners found Essay test items more difficult to handle.
Figure
9.3: Percentile Scores in Multiple Choice and Essay Tests in JS 3 Basic Science and
Technology
0
5
10
15
20
25
30
35
Fail (0 - 39 ) Fair (40 - 49
)
Good (50 -
59 )
Very Good
(60 - 69 )
Excellent (70
- 100 )
17.6
29.6 31
19.6
2.1
18.6
28 30.2
23.1
0
Sco
re
Multiple Choice Essay
0
10
20
30
40
50
60
70
10th 25th 50th 75th 90th
36.66 41.34
49.9
57.99 63.51
35.63 40.72
49.2
57.68
64.47
Sco
re
Percentile
Multiple Choice Essay
127
9.1.3 Group Achievements
Two groups were used, these are gender (male and female) and school location (urban and
rural).
Achievement by Gender
Figure 9.4 shows that while female learners performed better in the Essay test, the male
learners performed better in the Multiple Choice test. The achievement of female learners
(50.38) in the Essay test was better than that of male learners (49.97). On the contrary, the
achievement of male learners (49.65) in Multiple Choice was higher than that of female
learners (49.48). Female learners‟ achievement (50.38) in Essay test was higher than their
achievement in Multiple Choice test (49.48). In the same token, male learners‟ achievement (49.97) in Essay was higher than their achievement in Multiple Choice (49.65).
Figure 9.4: Achievement in Essay and Multiple Choice Tests by Gender
Achievement by School Location Figure 9.4 shows that learners in rural schools performed better than learners in urban schools
in the two tests. However, there is no large difference between the achievements of learners
in rural and urban schools. The achievement of learners from urban schools in essay was
49.64 while that of rural schools was 49.54. Similarly, the achievement of learners in rural
schools (50.12) was slightly higher than that of the learners in urban schools (49.97) in
Multiple Choice Test.
Figure 9.5: Achievement in Essay and Multiple Choice Tests by Location
49
49.2
49.4
49.6
49.8
50
50.2
50.4
Male Female Male Female
Multiple Choice Essay
49.65 49.48
49.97
50.38
Sco
re
49.2
49.4
49.6
49.8
50
50.2
Urban Rural Urban Rural
Multiple Choice Essay
50.12 49.97
49.64 49.54
Sco
re
128
9.1.4 Achievements in the Content Domains
There were four themes (content domain) in the curriculum of JSS Basic Science and
Technology. Items were generated from each of the four themes, namely: you and your
environment, living and non-living things, science and development and you and energy. The
Content Domain achievement in this chapter was limited to only Multiple Choice test.
Learners in JSS3 performed better (52.58) in items relating to living and non-living things
than in the rest of the content domains. The achievement in you and your environment
(50.97) ranked second in the content domain where learners exercised some level of mastery.
The learners found the items relating to science and development most difficult with a mean
score of 27.95.
Figure 9.6: Achievement in Content Domains
9.1.5 Achievements in Cognitive Domain Learners scored more items in Basic Science and Technology testing comprehension (48.8)
followed by achievement in Knowledge (42.23) and finally in items related to Higher Order
(38.27) Domain.
Figure 9.7: Achievement in Cognitive Domain
0 10 20 30 40 50 60
You and Energy
Science and development
Living and non-living things
You and your environment
31.33
27.95
52.58
50.97
Score
0 10 20 30 40 50
Knowledge
Comprehension
Higher order
42.23
48.8
38.27
Score
129
9.2 Achievement at Geo-Political Zones
In this section, achievement was looked at from the angle of the multiple choice and essay
tests and group achievements were equally presented.
9.2.1 Achievement in Essay and Multiple Choice Tests
Generally, achievement for zones in the North were higher than those in the South in essay
test while the achievement of zones in the South were higher than those in the North for the
multiple choice test. The best performing zone on the Multiple Choice test was the South East
(49.73) and the best performing state in the essay was North East (47.59). The North East
also displayed the least achievement in the multiple choice test 39.46. The South West
performed least in the essay test (44.96).
Figure 9.8: Achievement across Geo-Political Zones
9.2.2 Group Achievements across the Geo-Political Zone
Table 9.1 contains the mean and standard error of achievement for the zones in both essay
and objective tests for male and female learners. In the essay test, male learners performed
better than the female in North Central (50.12 and 49.62), North East (50.26 and 49.87),
South South (49.78 and 49.17) and South West (49.31 and 49.08). In the multiple choice test,
female learners performed better than male learners in all zones with the exception of North
Central (49.25 and 49.83).and South East (52.93 and 53.14).
Table 9.1: Distribution of Means and Standard Error of Achievement in Multiple
Choice and Essay Tests for Zones by Gender
Zones Gender Multiple Choice Essay
Mean S.E. Mean S.E.
North Central Male 49.83 0.46 50.12 0.45
Female 49.25 0.49 49.62 0.46
North East Male 45.43 0.35 50.26 0.39
Female 45.49 0.40 49.87 0.46
North West Male 47.53 0.36 49.25 0.35
Female 47.81 0.41 49.84 0.43
South East Male 53.14 0.40 49.37 0.44
Female 52.93 0.38 49.46 0.42
130
South South Male 51.59 0.38 49.78 0.44
Female 52.84 0.38 49.17 0.44
South West Male 52.57 0.36 49.31 0.41
Female 52.67 0.35 49.08 0.38
Achievement by School Location
Table 9.2 contains the mean scores and standard errors of the achievement in Basic Science
and Technology essay and multiple choice tests by school location. In the essay test, the
achievement of the learners in urban school was better than that of learners in rural schools in
three zones which are North West (49.84 vs 49.15), South West (49.26 vs 49.12), South East
(49.53 vs 49.44). In the multiple choice, the achievement in rural was better than urban for
learners in all zones with the exception of North West (47.24 and 47.83).
Table 9.2: Distribution of Means and Standard Error of Achievement in Multiple
Choice and Essay Tests for Zones by Location
Zone Location Multiple Choice Essay
Mean SE Mean SE
North Central Urban 49.42 0.45 49.61 0.45
Rural 49.58 0.52 50.3 0.48
North East Urban 45.32 0.35 49.93 0.4
Rural 45.6 0.39 50.3 0.44
North West Urban 47.83 0.4 49.84 0.4
Rural 47.24 0.37 49.15 0.37
South East Urban 47.83 0.38 49.53 0.41
Rural 53.01 0.41 49.44 0.46
South South Urban 51.75 0.39 49.09 0.44
Rural 52.81 0.38 49.88 0.44
South West Urban 52.47 0.34 49.26 0.37
Rural 52.84 0.37 49.12 0.43
9.3: Achievement at State Level
This section presents learners achievement in essay and multiple choice at state level. The
group achievements in terms of gender (male and female), school location (urban and rural)
and achievements in the content and cognitive domains were also presented.
9.3.1 Achievement in Essay and Multiple Choice Tests
The national average for Multiple Choice test was 50 with learners from twenty two states
performing above it. States topping the achievement include FCT (57), Lagos (57) and
Ebonyi (54). States at the bottom of the achievement were Taraba (43), Gombe (41) and
Sokoto (40). In the Essay test, the national average was 50 and states achieving on top
include (Benue (53), Akwa-Ibom (51) and Bauchi (51). States achieving at the bottom
include Enugu (48), Zamfara (48) and Rivers (48). Learners from twenty one states
performed better in the Multiple Choice test than the Essay test.
131
Figure 9.9: Mean Score in Basic Science and Technology Essay and Multiple Choice
Tests
Note:
i. Score in Multiple Choice are out of the parentheses
ii. Score in Essay are in parentheses
The average achievement of learners in each of the State is presented in Figure 9.9. Learners
in FCT performed best with an average mean of 58.43 followed by learners in Yobe State
(57.69). The least achievement was recorded from learners in Bayelsa (40.88) followed by
learners in Adamawa State (42.33).
52(50
40(49)
51(50)
50(51)
52(49) 49(49
51(50)
57(49)
51(48)
57(50)
51(50)
45(49)
46(50)
50(50)
46(51)1
41(51)
43(50
49(49)
52(49)
52(50)
54(51)
53(48)
47(49) 52(51)
46(49
47(50)
49(49) 45(51)
54(49) 52(49) 54(49)
52(50
53(50)
53(49)
54(49)
51(49) 47(53)
Average National
Score=50(50)
132
9.3.2: Group Achievements across the States
In Table 9.3, male learners from 22 states and FCT performed above the national mean while
female learners from 19 states and FCT performed above the national mean on the multiple
choice test for their respective groups. The national mean of male learners (49.77) was lower
than that of female learners (50.38) in Basic Science and Technology multiple choice test.
The FCT (59.11) had the highest achievement for male learners in the multiple choice test
while the state with the highest achievement for female students was Lagos (57.92). On the
other hand, the state with the lowest achievement of male (40.14) and female (40.87) learners
was Sokoto. Female learners in nineteen states performed better than their male counterparts
on the multiple choice test.
Male learners from 17 states performed above the national mean while female learners from
17 states and FCT performed above the national mean on the essay test for their respective
groups. The national mean of male learners (49.65) was higher than that of female learners
(49.48) in Basic Science and Technology essay test. AkwaIbom (51.68) had the highest
achievement for male learners in the essay test while the state with the highest achievement
for female students was Benue (54.03). On the other hand, the state with the lowest
achievement of male students was Enugu (48.19) while the state with the lowest achievement
of female learners was Bayelsa (47.76). Female learners in twenty states and FCT performed
better than their male counterparts on the essay test.
Table 9.3: Distribution of Mean Scores on Essay and Multiple Choice Tests based on
Gender across States
STATE
Multiple Choice Essay
MALE FEMALE MALE FEMALE
Mean SE Mean SE Mean SE Mean SE
ABIA 51.42 0.87 52.21 0.79 49.39 0.99 50.01 1.03
ADAMAWA 50.19 1.24 47.27 1.06 49.86 1.09 48.95 1.11
AKWA-
IBOM
51.68 0.83 52.30 0.86 52.63 0.93 50.47 0.93
ANAMBRA 52.30 0.85 51.98 0.81 48.85 1.03 49.13 0.88
BAUCHI 45.99 0.84 45.54 0.90 52.11 1.03 49.70 1.06
BAYELSA 47.17 1.25 47.45 1.27 49.24 1.57 47.76 1.74
BORNO 47.36 0.73 47.30 1.05 49.07 0.93 51.58 1.24
BENUE 46.87 1.13 47.61 1.89 52.53 1.69 54.03 2.38
CROSS
RIVER
51.63 0.85 53.03 0.95 50.09 0.90 49.80 1.07
DELTA 53.26 0.90 54.29 0.89 49.13 1.02 48.26 1.06
EBONYI 54.84 0.82 53.83 1.01 49.93 0.93 48.80 1.05
EDO 51.30 1.01 52.82 0.92 48.64 1.16 49.22 1.19
EKITI 53.73 0.82 52.68 0.81 48.19 0.88 49.56 0.94
ENUGU 53.04 0.94 52.97 0.87 48.19 0.98 48.37 0.89
GOMBE 40.45 0.56 40.92 0.65 50.25 0.88 51.51 1.08
IMO 54.07 0.94 53.79 0.81 50.46 1.00 50.89 0.88
JIGAWA 46.50 0.91 46.35 0.85 49.61 0.96 50.78 1.00
KADUNA 45.28 0.72 45.31 0.82 48.87 0.95 49.39 0.99
KANO 51.78 1.37 49.50 1.62 50.24 1.14 50.54 1.54
133
STATE
Multiple Choice Essay
MALE FEMALE MALE FEMALE
Mean SE Mean SE Mean SE Mean SE
KATSINA 49.89 1.01 51.98 0.96 49.92 1.00 49.70 1.05
KEBBI 51.78 1.04 52.35 1.39 49.55 0.98 50.16 1.30
KOGI 49.47 1.01 48.39 1.17 50.43 1.05 47.97 1.19
KWARA 51.45 0.90 52.95 1.04 49.24 0.93 47.83 0.84
LAGOS 57.92 0.78 56.77 0.71 48.69 1.10 48.88 0.85
NASARAWA 47.21 1.59 44.83 1.23 49.20 1.28 49.35 1.31
NIGER 51.48 1.56 49.65 1.37 50.27 1.29 50.70 1.15
OGUN 51.49 0.91 50.46 0.86 51.16 1.10 48.67 0.98
ONDO 50.34 0.92 51.29 1.11 48.61 0.88 50.35 1.06
OSUN 54.64 0.74 54.14 0.78 49.55 1.01 48.93 0.94
OYO 48.07 0.76 49.43 0.75 50.00 1.03 48.32 0.90
PLATEAU 44.97 0.77 45.10 0.86 51.00 1.11 50.88 1.13
RIVERS 51.60 0.86 53.41 0.78 48.23 1.08 48.54 0.87
SOKOTO 40.14 0.39 40.87 0.58 49.34 0.83 49.54 1.06
TARABA 42.77 0.61 42.90 0.77 50.27 0.83 48.93 1.04
YOBE 49.68 0.94 50.23 1.01 49.87 1.04 49.28 1.19
ZAMFARA 50.33 0.83 51.21 1.24 48.20 0.79 48.79 1.24
FCT 59.11 1.20 55.87 1.34 49.46 1.31 50.66 1.37
NATIONAL 49.77 0.16 50.38 0.17 49.65 0.17 49.48 0.17
Table 9.4: Distribution of Mean Scores on Multiple Choice and Essay Tests based on
School Location across States
State
Multiple Choice Essay
Urban Rural Urban Rural
Mean Std. Dev Mean Std.
Dev Mean
Std.
Dev Mean
Std.
Dev
ABIA 47.18 11.61 49.35 12.71 45.34 31.33 48.04 17.37
ADAMAWA 42.84 15.10 44.22 14.27 48.80 30.33 42.77 16.08
AKWA-IBOM 46.96 12.46 49.32 12.37 49.79 28.73 52.99 15.94
ANAMBRA 48.81 11.68 48.28 12.65 45.10 29.03 43.94 17.12
BAUCHI 39.52 11.47 40.27 11.76 50.46 31.71 49.90 16.18
BAYELSA 41.51 9.81 42.97 30.89
BORNO 42.82 10.93 40.36 9.00 44.73 27.83 52.74 15.50
BENUE 41.72 8.19 56.28 25.10
CROSS
RIVER
49.34 12.85 48.12 12.24 48.24 29.25 46.47 17.02
DELTA 50.37 13.63 51.03 12.28 44.25 32.97 42.94 16.60
EBONYI 51.77 13.03 51.03 12.92 47.60 28.05 45.95 19.07
EDO 47.78 12.12 49.11 11.32 42.88 31.59 45.67 16.13
134
EKITI 48.88 12.51 51.16 11.27 46.40 30.49 42.18 14.42
ENUGU 50.90 12.92 48.48 13.69 41.09 28.43 43.56 16.92
GOMBE 33.44 8.76 32.45 8.40 48.49 29.37 50.57 15.80
IMO 50.03 12.78 52.19 12.69 50.29 30.50 48.21 14.87
JIGAWA 41.21 12.79 40.13 12.68 47.26 30.13 48.83 17.82
KADUNA 40.18 11.37 38.79 10.82 41.42 31.76 46.32 15.83
KANO 45.54 15.44 47.94 14.76 47.35 31.63 49.26 16.20
KATSINA 47.05 13.20 46.69 13.64 49.52 30.64 44.48 15.28
KEBBI 48.98 16.18 48.01 15.17 48.29 32.98 45.38 16.40
KOGI 42.80 12.96 45.31 13.28 43.57 31.52 46.44 15.75
KWARA 48.37 13.17 49.24 13.98 41.15 28.09 46.58 16.78
LAGOS 55.66 10.96 55.09 11.21 41.79 30.55 46.68 15.60
NASARAWA 40.67 13.88 39.65 14.76 42.12 30.71 48.82 15.08
NIGER 47.23 16.91 45.43 15.73 48.67 29.44 49.00 16.48
OGUN 48.44 11.94 45.15 11.75 49.29 30.88 43.99 17.31
ONDO 45.87 14.26 54.02 12.12 45.30 29.98 47.62 14.44
OSUN 51.47 11.30 51.61 11.18 44.69 30.63 45.29 16.15
OYO 44.94 10.70 42.98 11.25 44.37 30.66 45.05 15.52
PLATEAU 38.44 10.37 39.48 11.84 49.91 33.36 50.41 17.99
RIVERS 48.90 11.99 49.54 11.99 40.25 30.13 45.22 17.13
SOKOTO 32.46 6.16 32.80 7.42 47.92 30.91 43.36 14.63
TARABA 35.47 10.12 36.72 9.78 46.11 30.17 47.16 14.47
YOBE 45.16 12.16 45.90 12.72 45.11 30.07 47.33 19.28
ZAMFARA 47.21 15.00 45.36 13.43 45.87 30.69 38.24 15.58
FCT 56.47 12.67 54.37 12.08 46.95 26.70 48.75 16.00
NATIONAL 45.58 13.49 45.79 13.46 46.01 30.31 46.30 16.53
The results in table 9.4 show that learners in urban schools from 20 states and FCT performed
above the national mean while learners in rural school from 19 states and FCT performed
above the national mean on the multiple choice test for their respective groups. The national
mean of urban learners (45.58) was lower than that of rural learners (45.79) in Basic Science
and Technology multiple choice test. The FCT (56.47) had the highest achievement for urban
learners in the multiple choice test while the state with the highest achievement for female
students was Lagos (55.49). On the other hand, the state with the lowest achievement of
urban learners was Sokoto (32.46) while the state with the lowest achievement of rural
learners was Gombe (32.45). Rural learners in eighteen states performed better than their
urban counterparts on the multiple choice test.
Learners from urban school in 18 states and FCT performed above the national mean while
rural learners from 19 states and FCT performed above the national mean on the essay test for
their respective groups. The national mean of urban learners (46.01) was lower than that of
rural learners (46.30) in Basic Science and Technology essay test. Benue (56.28) had the
135
highest achievement for urban learners in the essay test while the state with the highest
achievement for rural learners was Akwa-Ibom (52.99). On the other hand, the state with the
lowest achievement of urban learners was Rivers (40.25) while the state with the lowest
achievement of rural learners was Zamfara (38.24). Rural learners from twenty two states
performed better than their urban counterparts on the essay test.
9.3.3 Achievements in Content Domain
Four content domains were used in Basic science and technology: you and environment,
living and non-living things, science and development and you and energy. Learners‟ achievement in each of these domains are presented in this sub-section.
You and Your Environment
Figure 9.10: Achievement on the Theme ‘You and Your Environment’
Learners in 19 states and FCT performed above the national average; learners in Lagos (63.69), FCT (63.36), Ebonyi (57.97) have the highest mean in you and your environment. Learners in Sokoto (34.62), Gombe (35.00) and Taraba (39.04) had the lowest scores.
136
Living and Non-Living Things
Figure 9.11: Achievement on the Theme ‘Living and Non-Living Things’
1. Learners in 22 states and
FCT scored above the
national average; best
performing states were
FCT (64.76), Lagos
(63.91) and Osun (60.26)
on the theme ‘living and non-living things’.
2. Lowest mean scores
were obtained by
learners from Sokoto
(36.53), Gombe (36.8)
and Taraba (39.96).
137
Science and Development
Figure 9.12: Achievement on the Theme ‘Science and Development’.
1.Nineteen states and FCT
performed above the national
average; best performing
states were FCT (31.37) Lagos
(31.11) and Kano (29.29) on
science and development.
2. Sokoto state had the least
mean of 24.77 on the theme.
3. Achievements on this theme
was exceedingly poor.
138
You and Your Energy
Figure 9.13: Achievement on the Theme ‘You and Your Energy’
National Average: 31.39
Generally, achievement
was Poor
139
Knowledge Domain
Figure 9.14: Achievement on Knowledge Objectives
FCT (53.51), Lagos (52.45) and
Osun (49.34) had the highest
mean scores among the states.
Twenty states and FCT
performed above the national
average.
The states with the least scores
were Gombe (29.38), Sokoto
(29.84) and Taraba (29.84).
Achievement was Fair.
140
Comprehension Domain
Figure 9.15: Achievement on Comprehension Objective
1. Twenty two states performed
above the national average.
2. FCT (60.2), Lagos (60.14) and
Ebonyi (55.51) the highest
mean scores on the
Comprehension Objectives.
3. Sokoto (33.43), Gombe (33.85)
and Taraba (37.49) had the
least mean scores,
4. General achievement on this
objective was Good.
141
Higher Order Domain
Figure 9.16: Achievement on Higher Order Objectives
1. Twenty two states performed
above the national average on
this objective.
2. Learners in FCT (43.57), Lagos
(43.36) and Ebonyi (41.58) had
the highest mean scores.
3. Sokoto (31.16), Gombe (31.66)
and Taraba (33.11) had the
least mean scores among the
states in Higher order
objectives.
4. Achievement on the domain
was Fair.
142
9.4: Relational Analysis This subsection deals with the relationship between the learners‟ contextual variables and
their achievements in Basic Science and Technology. Specifically, how homework assistance
provided; available learning facilities; after school non-learning engagement; occupation of
father and mother; means of going to school; distance between learners‟ home and school; number of meal per day; learners‟ possessing textbook on Basic Science and Technology; liking teachers and schools are related to learners‟ achievement in Basic Science and
Technology were discussed.
Level of Assistance in Homework as Related to Achievement
From Figure 9.17, high and low levels of assistance with homework had means of 50.1 and
50.2 respectively. Moderate level of assistance with homework yielded the lowest level of
achievement of 49.5. The variations among the different levels of assistance with homework
were not large.
Figure 9.17: Level of Assistance in Homework as it Related to Achievement in Basic
Science and Technology
143
Home Work Assistance as Related to Achievement in Basic Science and Technology
In Figure 9.18, learners from 17, 22, 20 states performed above the national average for low,
moderate and high levels of assistance with homework respectively. Among the top
performing states were FCT (53.2, 54.3 and 53.5), Lagos (53.2, 53.2 and 52.4) and Delta
(52.4, 50.2 and 51.6) while at the lower end of performance, we have states like Gombe
(44.6, 45.9 and 46.1), Sokoto (46.1, 44.8 and 44.5) and Taraba (46.3, 45.7 and 47) in the
order of low, moderate and high levels of assistance with homework. These values seem to
indicate no variation within states across the different levels of assistance with homework.
Figure 9.18: Home Work Assistance as Related to Achievement in Basic Science and
Technology
144
Availability of Learning Facilities as Related to Achievement in Basic Science and
Technology
From Figure 9.19, at the national level, as level of availability increases, achievement
increases (low=49.4, moderate=49.8 and high=50.7); differences in achievement among
levels of availability of facilities were not substantial. Learners from 25, 23 and 18 states
performed above the national average of low, moderate and high levels of availability of
learning facilities. States at the high level of achievement include Lagos (55.8, 52.6 and
52.9), Imo (53.2, 51.9 and 53.3) and AkwaIbom (52.4, 51.4 and 52.4) while for states not
performing very well we have Sokoto (44.3, 45.0 and 46.4), Taraba (45.8, 46.6 and 45.3) and
Gombe (46.1, 45.5 and 45.2) in the order low, moderate and high levels. The variations
within these states do not show substantial differences among the levels, thus levels of
availability is not related to achievement. Based on these results the need to consider how the
facilities are used is imperative.
Figure 9.19: Availability of Learning Facilities as Related to Achievement in Basic
Science and Technology
145
Levels of Non-Learning Engagement and Achievement in Basic Science and Technology
From Figure 9.20, achievement at low, moderate and high levels of non-learning engagement
were 50, 49.7 and 49.7 respectively. Learners from 23, 21 and 25 states performed above the
national average for low, moderate and high levels of non-learning engagement. While FCT
(54.9, 52.2 and 53.5), Lagos (52.8, 53.5 and 52.7) and Akwa-Ibom (52.6, 51.6 and 51.6)
performed at the higher level, Sokoto (44.6, 44.6 and 45.4), Gombe (44.6, 45.9 and 45.5) and
Kaduna (46.3, 47.6 and 47.2) performed at the lower level of achievement in the order of
low, moderate and high levels of non-learning engagement. Differences among the levels
were not noticed among these states.
Fig 9:20: Levels of Non-Learning Engagement and Achievement in Basic Science and
Technology
146
Occupation of Fathers as Related to Achievement in Basic Science and Technology
Nationally, the achievement of learners whose fathers are into farming/fishing,
business/trading and Worker (public/private) was 49.6, 49.8 and 49.9 respectively. Learners
from 21, 19 and 19 states performed above the national average in the occupational groups of
farming/fishing, business/trading and Worker (public/private) for fathers respectively. On the
top of the performing states were FCT (55.2, 53.1 and 53.7), Cross River (52.3, 50.4 and
50.0) and Lagos (52.2, 53.0 and 53.2) while at the lower end of achievement were Sokoto
(44.6, 45.3 and 44.8), Gombe (46.3, 47.8 and 44.7) and Taraba (46.6, 45.8 and 46.4) in the
order of the occupational groups of farming/fishing, business/trading and Worker
(public/private) for fathers.
Figure 9.21: Occupation of Fathers as Related to Achievement in Basic Science and
Technology
147
Occupation of Mothers as Related to Achievement in Basic Science and Technology The national means for the learners whose mothers are in the occupational groups
farming/fishing, business/trading, worker (Public/private) and „others‟ were 49.1, 50.4, 49.8 and 49.6 respectively. Learners from 17, 19, 13 and 20 states performed above the national
average for the occupational groups farming/fishing, business/trading, worker
(Public/private) and „others‟ for mothers. Among the best performing states are Yobe (55.5, 50.9, 47.5 and 49.6), Katsina (54.5, 51.4, 46.8 and 51.8) and Osun (52.9, 51.7, 50.6 and 51.7)
and among the states that did not perform very well were; Sokoto (41.9, 44.5, 44.9 and 45.3),
Gombe (44.8, 46.0, 45.7 and 45.7) and Taraba (45.9, 46.6, 47.0 and 48.6) in the order
farming/fishing, business/trading, worker (Public/private) and „others‟. Large differences are noted for some of these states.
Figure 9.22: Occupation of Mothers as Related to Achievement in Basic Science and
Technology
148
Means of Transportation to School as Related to Achievement in Basic Science and
Technology
The national average for learners who walk, use donkey, canoe, okada/bicycle/tricycle,
taxi/bus and family car were 49.8, 51.4, 49.5, 50.2, 50.3 and 49.0 respectively. Number of
states for which canoe and donkey were used was few and they are therefore not used in
further discussion. Among the top scoring states are FCT (54.5, 53.8, 54.5 and 51.7), Lagos
(53.0, 55.0, 52.3 and 49.4) and Ebonyi (52.2, 51.4, 49.8 and 45.1) while among the bottom
scoring states are Sokoto (45.0, 44.5, 45.9 and 43.5), Gombe (46.1, 46.5, 43.9 and 43.5) and
Adamawa (48.8, 49.1, 49.8 and 49.7) in the order walking, okada/bicycle/tricycle, taxi/bus
and family car. No particular sequence is observed with respect to relation between mode of
transportation and achievement.
Figure 9.23: Means of Going to School as Related to Achievement in Basic Science and
Technology
149
Distance to School as Related to Achievement in Basic Science and Technology
Nationally, as distance between Learners school and home increased, achievement increased;
achievement for less than 1km, 1km to less than 2km , 2km to less than 3km and 3km and
above were 49.4, 50, 50.1 and 50.2 respectively. Learners from 24, 20, 15 and 16 states
performed above the national mean for learners, who travel less than 1km, 1km to less than
2km , 2km to less than 3km and 3km and above to school. Among the top performing states
are Benue (56.3, 49.5, 50.0 and 47.8), Ebonyi (54.6, 51.4, 49.9 and 51.5) and Akwa-Ibom
(52.7, 52.2, 50.3 and 51.8) and among the bottom scorers are Sokoto (44.3, 45.3, 46.0 and
46.5), Gombe (45.5, 46.3, 45.5 and 45.9) and Nasarawa (46.4, 49.2, 45.0 and 50.2) in the
order less than 1km, 1km to less than 2km , 2km to less than 3km and 3km and above.
Differences seems to exist among mean values for Benue and Ebonyi only but not for other
states. Thus, the policy of learners not travelling more than 2 km to school may not have been
impactful.
Figure 9.24: Distance between the Home and School as Related to Achievement Number
of Meals a Day as Related to Achievement in Basic Science and Technology
150
The national average for learners who eat once, twice, three times and four times a day were
49.7, 49.5, 49.9 and 50.6. In the FCT, there were no learners who eat once a day and in
Benue state there were no learners who eat four times a day. Among the top performing states
were Enugu (56.7, 51.5, 50.2 and 51.6), Imo (54.9, 51.6, 52.4 and 51.0) and Ogun (53.7,
51.8, 50.1 and 51.8) while among the bottom performers were Rivers (44.2, 51.2, 50.6 and
49.3), Gombe (44.3, 45.2, 46.4 and 45.5) and Sokoto (46.1, 44.2, 45.1 and 45.5) in the order
once, twice, three times and four times a day. Among the top scorers learners who eat once a
day exhibited best performance but no clear trend was observed among low performing
states.
Figure 9:25: Number of Daily Meals as Related to Achievement in Basic Science and
Technology
151
Possession of Textbooks and Achievement in Basic Science and Technology
Nationally, learners with textbooks (50.0) performed better than those without textbooks
(49.7). Learners from 21 and 15 states performed above the national average for learners
without textbooks and those with textbooks respectively. Learners in 20 states with textbooks
outperformed the mean scores of learners with no textbook. Therefore, learners with textbook
perform better than those without textbooks.
Figure 9:26: Possession of Textbooks on Basic Science and Technology as Related to
Achievement
152
Liking the Teacher and Achievement in Basic Science and Technology
From Figure 9.27, learners who like their teachers are found in all states but those who do not
like their teachers are not found in 9 states. The mean for learners who like their teachers is
49.9 and it is greater than the mean of learners who do not like their teachers (48.1). Learners
from 22 states performed above the mean of learners who like their teachers; learners from 11
states performed above the mean for learners who do not like their teachers. Learners who do
not like their teachers initially performed better than those who like their teachers from the
top performing states but the trend changed with those who like their teachers performing
better than those who do not like their teachers.
153
Figure
9.27: Liking Teachers as Related to Achievement in Basic Science and Technology
Liking Schooling as Related to Achievement in Basic Science and Technology
Learners from 22 states performed above the mean of learners who like schooling (49.9)
while Learners in 11 states performed above the mean of learners who do not like schooling
(48.1). Learners who like schooling were found in all states. However, learners who do not
like schooling were found in 9 states. Learners from 11 and 18 states performed above the
national average for learners who do not like schooling and those who like schooling
respectively. Initially, learners who do not like school out-perform their counterparts who like
school when order of best performing states are examined. The trend however changed as we
move down towards low per
154
Figure 9:28: Liking
Schooling and Achievement in Basic Science and Technology
Observations and Challenges
1. The achievement in essay and multiple choice tests were both lower than the expected
transformed score of 50. No learner was within the range of 75 and above for both essay
and multiple choice tests. These show that the learners found both tests difficult and this
calls to question the efficacy of the item characteristics as part of the generation of the
tests.
2. While female learners performed better than the male in the multiple choice test, the male
learners performed better than female learners in essay test; differences were however not
significant. This is possibly indicative of the gender preferences for the two types of tests.
The import is the need to utilise both item types in order to avoid gender bias.
155
3. Learners in urban schools performed better than those in rural schools in both tests,
though the differences were not substantial. This may be due to human and material
facilities available in both situations.
4. The learners got more items correct on living and non-living things, which when looked
at shows it to be within their experiences. They had difficulties with science and
development that in most cases was not within their everyday experiences, though this is
used as part of everyday life.
5. Consistently, learners in FCT and Lagos were on top in terms of achievement on the
content and cognitive domains among the states. Learners in Sokoto in all cases
performed poorly on the cognitive and content domains among the states. The need to
explore what happens in FCT, Lagos and Sokoto become imperative to identify the good
parts to be sustained and what may need to be jettisoned.
6. High level of assistance with homework did not show an improved achievement and thus
assistance with homework may not be of essence but the quality of assistance. In the same
vein, the weak relationship between achievement and available facilities underscores the
need to look beyond the facilities available to how they are being used.
7. The policy of learners not travelling more than 2 km to school may not have been very
impactful. Nonetheless, schools may continue to be located within 2km radius of learners‟ residence.
8. Learners with textbook performed better than those without textbooks and those who
liked their teachers were better in achievement. This was expected and schools should
endeavour to ensure that requisite books are provided, and teachers, on their part, should
display in locus parentis. In the same vein, liking schooling is important and enhances
achievement. Schools should be more learner-friendly through the provision of safety and
basic learning needs to sustain interest in schools.
156
Chapter Ten
Achievement in Social Studies
10.0: Introduction The achievement related results and relational analysis are presented in this chapter. In
particular, the chapter focuses on achievement at national level, geo-political zone and at
state levels. The relational analysis of non-cognitive variables with achievement are presented
as well as observations and challenges arising from the results.
10.1: Achievement at National Level This sub-section present results of essay and multiple choice; range and percentile; group
achievement along gender (male and female) and school location (urban and rural)
achievement along content and cognitive domains were also presented.
10.1.1 National Average
Figure 10.1 shows achievement of JSS3 learners in the multiple choice and essay tests in
Social Studies. On the average learners performed better in multiple choice test (mean score
= 50.15) than in essay test (50.00). The two scores have the same standard error of 0.12.
Figure 10.1 Distribution of Score for Multiple Choice and Essay Tests
10.1.2 Range and Percentile
The range shows the spread or cluster of the scores while the percentile indicates the relative
standing of an examinee‟s score vis-à-vis scores of other examinees who took the test. The
scores were categorised into five clusters: 0-39(Fail), 40-49(Fair), 50-59(Good), 60-69(Very
good) and 7 and above (Excellent). Figure 10.2 shows the transformed score ranges in the
multiple choice and essay questions. It is observed that the score cluster with the highest
number of learners for both multiple choice test (36.6percent) and essay (28percent) was 50-
59. More than half of the learners got 50 and above in both essay and multiple choice
questions. However, none of the learners was able to score 70 and above in either the
49.9
49.95
50
50.05
50.1
50.15
Essay Multiple choice
50
50.15
Sco
re
157
multiple choice and essay tests. The performance on these tests was satisfactory for this
group of learners.
Figure 10.2: Examinees Ranges of Scaled Score in Essay and Multiple Choice Tests
In Figure 10.3, learners who scored 34.96, 42.97, 51.9, 58.31 and 62.19 performed better that
10 percent, 25 percent, 50 percent, 75 percent and 90 percent of all learners who took the
multiple choice test. Similarly, learners who scored 35.16, 41.2, 50.26, 59.31 and 63.84
performed better than 10percent, 25 percent, 50 percent, 75 percent and 90 percent of all
learners who took the essay test. It is observed that at all percentiles with the exception of
25th
and 50th
, the achievement in essay was higher than that of the multiple choice test. Thus
achievement at 10th
and 50th
percentile is indicative that learners found multiple choice easier
to handle than the essay test.
Figure 10.3: Percentile Scores in Multiple Choice and Essay Tests for JS3 Social Studies
0
5
10
15
20
25
30
35
40
Fail (0 - 39 ) Fair (40 - 49
)
Good (50 -
59 )
Very Good
(60 - 69 )
Excellent (70
- 100 )
16.8
24.2
36.6
22.3
0
18.9
27.5 28 25.5
0
Sco
re
Multiple Choice Essay
0
10
20
30
40
50
60
70
10th 25th 50th 75th 90th
34.96
42.97
51.9
58.31 62.19
35.16
41.2
50.26
59.31 63.84
Sco
re
Percentile
Multiple choice Essay
158
10.1.3 Group Achievement
Two classifications were used; these are gender (male and female) and school location (urban
and rural).
Achievement by Gender
Figure 10.4 shows that female learners performed better than the male learners in the multiple
choice test but male learners performed better than female learners in essay test. However,
there is no substantial difference between the achievement of male and female learners. The
achievement of male learners (49.90) was slightly lower than that of the female learners
(50.42) in the Multiple Choice test. On the contrary, the achievement of male learners (50.25)
was higher than that of female learners (49.74) in the essay test.
Figure 10.4: Achievement in Essay and Multiple Choice by Gender
Figure 10.5 shows that learners in rural schools performed better than the learners in urban
schools in the two tests. However, there is a slight difference between the achievements of
learnersin rural and urban schools. The achievement of learners from urban schools in essay
was 49.98 while that of rural schools was 50.04. The achievement of learners in rural schools
(50.21) was slightly higher than that of the learners in urban schools (49.97) in multiple
choice test.
Figure 10.5: Achievement in Essay and Multiple Choice by School Location
49.4
49.6
49.8
50
50.2
50.4
50.6
Mutiple choice Essay
49.9
50.25 50.42
49.74
Sco
re
Male Female
49.8
49.9
50
50.1
50.2
50.3
Multiple choice Essay
49.97 49.98
50.21
50.04
Sco
re
Urban Rural
159
10.1.5 Achievement in Cognitive Domain
Learners in Figure 10.7 displayed the best achievement on items measuring higher order
component (66.34) followed by knowledge (64.5) and finally items at the comprehension
level (56.27).
Figure 10.6: Achievement in Cognitive Domain
10.2: Achievement at Geo-Political Zones In this section, achievement in both essay and multiple choice tests are considered as well as
group achievements based on gender and school location for the different geo-political zones
10.2.1: Achievement in Essay and Multiple Choice Tests
From Figure 10.8, the achievement in essay (North Central = 49.86, North East = 49.87 and
North West = 50.27) was higher than that in multiple Choice (North Central = 49.19, North
East = 44.34 and North West = 47.60) for the Northern Zones while the achievement in
multiple choice test was higher for Southern Zones (South East = 54.45, South South = 52.25
and South West = 53.23) than inthe essay test (South East = 50.01, South South = 49.92 and
South West = 49.99). In fact learners in North east scored lowest in multiple choice test
(44.34) while those in South east scored highest in the same test (54.45). However, learners
from North West scored highest in essay test (50.27) while those in North Central scored
lowest in the same test (49.86). In the Southern Zones, learners from South East were on top
in both multiple choice and essay (54.45 and 50.01 respectively). In the same vein, learners
from North West were top in achievement in the essay test (50.27) while in the multiple
choice tests, North Central exhibited the best achievement (49.19).
50 55 60 65 70
Knowledge
Comprehension
Higher Order
64.5
56.27
66.34
Score
160
Figure 10.7: Learners’ Achievement across Geo-Political Zones
10.2.2: Group Achievements across the Geo-Political Zones
Table 10.1 shows that there are no large differences in the male and female learners‟ achievements across the geo-political zones, in both multiple choice and essay tests. In the
North Central zone, male learners showed superiority in both multiple choice test (49.76) and
essay tests (50.25) over the females (48.60 and 49.47 respectively). In other zones, the male
learners were superior in one of the two tests and not both. For essay test, female learners
(50.33) showed dominance in only the North West zone while the male learners were
dominant in the other four zones. North Central and North West were the only zones where
female learners had a lower achievement in multiple choice tests than the male learners (and
by a small margin) while the male learners performed better in the remaining four zones.
Table 10.1: Distribution of Means and Standard Error of Achievement in Multiple
Choice and Essay Tests for Geopolitical Zones by Gender
ZONES Gender
MULTIPLE
CHOICE ESSAY
Mean SE Mean SE
NORTH
CENTRAL
MALE 49.76 0.47 50.25 0.44
FEMA
LE
48.60 0.49 49.47 0.46
NORTH EAST
MALE 44.07 0.37 50.40 0.38
FEMA
LE
44.67 0.42 49.23 0.43
NORTH
WEST
MALE 47.89 0.33 50.24 0.33
FEMA
LE
47.20 0.41 50.33 0.42
SOUTH EAST
MALE 54.32 0.37 50.43 0.42
FEMA
LE
54.58 0.36 49.62 0.41
SOUTH
SOUTH
MALE 51.98 0.37 49.96 0.43
FEMA
LE
52.51 0.38 49.89 0.44
SOUTH WEST
MALE 53.04 0.33 50.20 0.39
FEMA
LE
53.40 0.31 49.80 0.38
0
10
20
30
40
50
60
North
Central
North East North West South East South South South West
49.19 44.34
47.6
54.45 52.25 53.23 49.86 49.87 50.27 50.01 49.92 49.99
Sco
re
Muliple choice Essay
161
Table 10.2 contains the achievements of learners in urban and rural schools across the six
geo-political zones in the multiple choice and essay tests. Learners in rural schools performed
better than those in urban schools in all zones with the exception of North West. In the North
West, learners in rural schools had a mean score of 47.15 while those in the urban schools
had a mean of 47.74; the difference was not substantial though. In the essay test, urban
learners performed better than rural learners in North West (50.49 and 50.21), South East
(50.38 and 49.57) and South South (50.07 and 49.63). Rural learners performed better than
urban learners in North Central (50.48 and 49.53), North East (50.21 and 49.59) and South
West (50.25 and 49.79).
Table 10.2: Distribution of Mean and Standard Error of Achievement in Multiple
Choice and Essay Tests for Geo-Political Zones by Location
ZONE Location MULTIPLE CHOICE ESSAY
Mean S. E. Mean S. E.
NORTH CENTRAL URBAN 48.67 0.47 49.53 0.44
RURAL 49.32 0.50 50.48 0.48
NORTH EAST URBAN 44.13 0.36 49.59 0.38
RURAL 44.60 0.43 50.21 0.43
NORTH WEST URBAN 47.74 0.37 50.49 0.38
RURAL 47.15 0.37 50.17 0.37
SOUTH EAST URBAN 54.20 0.36 50.38 0.42
RURAL 54.70 0.38 49.57 0.42
SOUTH SOUTH URBAN 52.04 0.39 50.07 0.43
RURAL 52.42 0.37 49.63 0.45
SOUTH WEST URBAN 53.03 0.31 49.79 0.36
RURAL 53.51 0.33 50.25 0.42
10.3 Achievement at State Level
Introduction
This section presents learners‟ achievement in essay and multiple choice at state level. The
group achievements in terms of gender (male and female), school location (urban and rural)
and type of school were also presented.
Achievement in Essay and Multiple Choice Test
The national average on the multiple choice test was 50.15. Ebonyi, Osun and Lagos topped
the chart on the mean scores in the multiple test (57.12, 56.12 and 56.72) respectively.
However, the states with the least mean scores include Gombe (38.69), Taraba (41.88) and
Benue (43.63). The national average for Essay test was 50.0. Twenty states and FCT
performed above the national average; top fliers among the states were Kogi (51.79), Katsina
(51.39 and Benue (51.34). Sixteen states performed below the national average. States that
were at the bottom of the achievement were Niger (48.40), Bauchi (48.45) and Nasarawa
(48.50).
162
Figure 10.8: Mean Score in Social Studies Essay and Multiple Choice Tests
Note:
i. Learners‟ score in Multiple Choice are out of the parentheses
ii. Learners‟ score in Essay are in parentheses
53(50)
44(50)
50(51
48(48)
54(49)
49(49
51(51)
57(50)
50(49)
56(50)
49(5
44(50)
45(50) 48(49
46(4
39(50)
42(49) 49(52) 54(50)
50(50)
55(51)
54(50)
50(5150(49)
46(49)
46(51)
47(51) 44(51)
54(50)
54(51 57(51)
52(49)
52(50)
57(50)
53(50)
44(51
54(49)
National Average
Score= 50(50)
163
10.3.2 Group Achievements across the States
Male learners from 15
states didn‟t score up to the national average
while female students
from 19 states failed to
reach the national
average. The national
average of male (49.90)
in comparison to that of
female (50.42) in Social
Studies multiple choice
test was lower. It was
further observed that the
state with the highest
achievement of male
learners in the multiple
choice test was Osun
(57.25) while the state
with the highest
achievement for female
learners was Ebonyi
(57.68). On the other
hand, the state with the
lowest achievement of
male learners was
Gombe state (38.74)
while the state with the
lowest achievement of
female learners was
Cross River state
(49.86).
Figure 10.9: Distribution of Mean Scores in Multiple Choice based on Gender
164
In Table 10.3, the average scores for the essay and multiple choice tests in Social Studies by
location are presented. National mean scores of learners in Urban and Rural schools in
multiple choice test are 49.97 and 50.21 respectively. On the other hand, the national average
scores for essay for urban and rural schools were 49.98 and 50.04 respectively. Thus learners
in rural schools performed better in both multiple choice and essay tests. Learners from rural
schools in twenty one states performed better in multiple choice test than those in urban
schools. In the same test, learners in urban and rural schools from seventeen states and the
FCT each performed above the national average. In the essay test, learners in urban schools
from eighteen states performed better than those from rural schools. Learners from urban
schools from twenty states performed above the national average while learners in rural
schools from sixteen states and FCT performed above the national average on the same essay
test.
Table 10.3: Distribution of Mean Scores in Multiple Choice and Essay Tests based on
Location
State
Multiple choice Essay
URBAN RURAL URBAN RURAL
Mean SE Mean SE Mean SE Mean SE
ABIA 52.84 0.76 51.58 0.93 49.34 0.95 47.55 1.04
ADAMA
WA
46.06 1.08 47.27 1.04 51.33 0.98 51.01 1.01
AKWA-
IBOM
50.17 0.81 50.36 0.69 50.19 1.10 48.64 0.91
ANAMB
RA
53.85 0.91 54.10 0.77 52.15 0.94 49.89 0.77
BAUCHI 46.33 0.89 46.59 0.91 48.28 0.97 48.62 1.10
BAYELS
A
49.66 1.05 = = 50.44 1.29 = =
BORNO 46.56 0.88 46.24 1.34 51.13 0.89 50.37 1.35
BENUE 43.63 1.70 = = 51.34 1.64 = =
CROSS
RIVER
50.06 1.05 50.68 0.89 49.42 1.08 50.04 0.94
DELTA 53.67 0.91 54.01 0.86 49.40 1.02 50.26 1.04
EBONYI 56.60 0.80 58.03 0.68 51.37 1.01 50.02 1.01
EDO 53.33 1.05 53.94 0.97 50.47 1.14 50.14 1.26
EKITI 52.16 0.77 52.50 0.72 50.05 0.88 49.75 0.87
ENUGU 53.11 0.79 55.54 0.76 48.94 0.86 48.86 0.90
GOMBE 39.36 0.67 38.06 0.72 49.97 0.90 51.00 0.85
IMO 55.01 0.75 54.17 0.96 50.67 0.90 51.52 0.97
JIGAWA 45.56 0.72 44.92 0.89 50.75 0.83 50.07 1.05
KADUN
A
45.29 1.03 44.10 0.74 50.84 1.06 50.23 0.74
KANO 49.82 1.43 48.34 1.34 50.85 1.35 49.74 1.24
KATSIN
A
49.69 0.96 49.48 0.96 51.62 0.98 51.20 0.93
KEBBI 53.32 0.96 53.44 1.02 49.74 1.19 50.12 1.17
KOGI 47.66 1.51 50.17 1.24 52.09 1.24 51.56 1.11
165
KWARA 53.13 0.79 53.11 0.92 48.85 0.89 50.12 1.10
LAGOS 56.73 0.66 56.70 0.73 50.30 0.82 49.99 1.00
NASAR
AWA
46.69 1.32 44.81 1.40 48.24 1.48 48.81 1.38
NIGER 48.00 1.01 48.58 0.98 47.62 1.23 49.03 1.12
OGUN 50.87 0.84 51.94 0.83 48.89 1.02 52.82 1.05
ONDO 52.65 0.63 51.49 1.96 49.35 0.74 54.21 2.14
OSUN 56.98 0.45 56.76 0.41 52.25 0.95 49.09 0.91
OYO 49.00 0.83 49.61 0.79 48.53 0.89 49.39 0.99
PLATEA
U
43.68 0.92 45.34 1.10 50.32 0.89 50.77 1.12
RIVERS 53.81 0.77 54.17 0.75 50.65 0.85 49.45 0.97
SOKOTO 43.86 1.00 43.84 0.93 50.91 0.94 49.76 0.96
TARAB
A
40.97 0.66 43.67 1.07 48.46 0.88 51.01 1.17
YOBE 47.70 0.95 47.73 0.98 49.03 0.98 49.34 0.97
ZAMFA
RA
49.67 0.75 49.77 0.91 49.14 0.92 49.85 1.01
FCT 56.68 1.25 55.49 1.43 48.31 1.25 52.97 1.25
NATION
AL
49.97 0.16 50.21 0.17 49.98 0.16 50.04 0.17
*Not applicable
166
People and the Environment
Figure 10.10: Achievement on the Theme People and the Environment
Learners in Ebonyi State had the
highest mean score 68.85. They
were followed by learners in Lagos
(67.81) and FCT (67.57).
Gombe and Taraba were at the
bottom with scores of 43.07 and
46.78 respectively.
167
Culture
Figure 10.11: Achievement on the Theme Culture
Learners in 19 States and FCT
scored above the national
average of 65.80
Ebonyi (75.61), Osun (74.59)
and FCT (74.19) topped the
chart in the theme culture.
Gombe (50.59), Taraba (54.20)
and Benue (57.48) had the least
achievement on the chart.
Overall achievement was Very
Good on the theme.
168
Social Issues Problem
Figure 10.12: Achievement on the Theme Social Issues and Problems
18 states and FCT scored above the
national average. Top achievers were
Osun (85.68), Ebonyi (84.75) and Lagos
(84.42).
The low performers were Gombe
(45.73), Taraba (53.19) and Sokoto
(56.73).
Achievement on the theme was
Excellent.
169
Science, Technology and Society
Figure 10.13: Achievement on the Theme Science, Technology and Society
17 states and FCT scored above the
national average. Top achieving states:
Ebonyi (84.54), followed by Lagos
(81.48) and Osun (81.21).
The least achievers were Gombe
(43.91), Taraba (50.96) and Benue
(52.58).
Achievement on the theme was
Excellent.
170
Communication
Figure 10.14: Achievement on the Theme Communication
17 states and FCT scored
above the national average.
Top are Ebonyi (74.90),
Osun (74.70) and FCT
(73.94).
The least score of 40.11 was
obtained by learners from
Gombe State.
Achievement on the theme
was Very Good.
171
Figure 10.15: Achievement on the Theme Family I and Family II
Learners in Osun State had
the highest score of (93.13)
they were followed by
learners in Lagos (92.95)
and Ebonyi (92.78).
19 States and FCT scored
above the National average
of 82.90 percent.
3. Learners in 34 states had
excellent scores on the
theme.
172
Figure 10.16: Achievement on the Theme School Community
Learners in Lagos State (76.58)
scored more items in this theme.
They were followed by learners in
Ebonyi (75.56) and Osun (75.16).
Learners in Oyo (59.91) and Akwa-
Ibom (58.41) scored close to the
national mean of 66.89.
Learners in Gombe State scored
least (34.20) in items relating to
school community. Benue and
Taraba were also close to the
bottom of the league table with
scores of 44.52 and 41.35
respectively.
173
Storage
Figure 10.17: Achievement on the Theme Storage
1. 16 States and FCT scored above the national average.
2. Learners in Ebonyi State had the highest mean score of 84.07. They were followed by
learners in Lagos (82.83) and Osun (82.78).
3. Learners in Gombe State had the least score of 49.19percent.
4. Achievement on the theme was Excellent.
174
National Economy
Figure 10.18: Achievement on the Theme National Economy
Learners in 16 states and FCT scored above the national average; mean score of 62.62percent.
They were followed by learners in Ebonyi (62.21percent) and Lagos (61.67percent). Gombe,
Taraba and Kaduna had the least scores of 27.82percent, 32.77 percent and 35.02percent
respectively.
175
Relational Analysis
This subsection explained the relationship between learners‟ contextual variables and achievement in Social Studies. It focused on how assistance with homework, available
learning facilities, occupation of mother and that of father, means of going to school, distance
from home to school, number of meals per day, possession of textbooks on Social Studies by
the learner, liking teacher and school affect achievement in Social Studies.
Home Assistance with Homework and Achievement
Assistance with homework in Social Studies was a composite of what was provided by
parents/guardians, home lesson teachers and siblings. The assistance was categorised into
three categories – low assistance, moderate assistance and high assistance after they had been
scored in a dichotomous way. The summary of the mean scores of learners as well as the
corresponding levels of assistance they received in their exercises in Social Studies is
presented in Figure 10.23. The figure shows the variation in achievement with amount of
assistance with homework provided to the learners. Nationally, substantial differences were
not noticed (50.1, 50.1 and 50 for low, moderate and high levels of assistance respectively).
Eighteen states performed above the national average for low assistance; seventeen states for
the moderate assistance and sixteen states for the high level of assistance. Among the top
performing states, were FCT (54.6, 52.1 and 53.7), Osun (54.2, 53.1 and 54.0) and Kebbi
(53.9, 51.3 and 51.2) while among the bottom performing states, Gombe (44.1, 44.4 and
45.0), Taraba (45.2, 47.1 and 44.1) and Sokoto (45.7, 47.7 and 46.9) in the order low
assistance, moderate assistance and high assistance with homework. The variation within
these states across the levels of assistance showed no large difference and therefore level of
assistance may not be important but the quality of assistance.
176
Figure 10.19: Homework Assistance as Related to Achievement in Social Studies
177
Availability of Learning Facilities and Achievement
Figure 10.20: Availability of Facilities as Related to Achievement in JS 3 Social Studies
Figure 10.24 shows the variation of
achievement with available learning
facilities. At the national level, differences in
achievement among the levels of available
facilities was not substantial (49.8, 49.9 and
50.5 for low, moderate and high levels
respectively). Learners from 21, 20 and 16
states performed above the national average
for low, moderate and high levels of
available facilities respectively. Among the
top performing states were; Anambra (60.3,
52.6 and 52.1), Lagos (55.7, 52.3 and 54.1)
and FCT (55.5, 53.7 and 52.5) while among
the low performing states were; Gombe
(43.6, 44.5 and 45.5), Plateau (44.8, 47.6 and
47.5) and Borno (45.1, 49.2 and 47.1)
performed in the order; low, moderate and
high levels. In all, available facilities cannot
be said to affect achievement. It is likely that
the use of the facilities is what actually
matters.
Low
Moderate
High
178
Non-Learning Engagement and Achievement
In Figure 10.25, the national average for low, moderate and high levels of non-learning
engagement were 50.1, 50.1 and 50 .0 respectively. Learners from 19, 17 and 20 states
performed above the national average for low, moderate and high levels of non-learning
engagement respectively. Among the top performing states: Osun (53.2, 53.8 and 53.6), Lagos
(53.0, 53.9 and 53.8) and Imo (53.0, 52.9 and 52.5) while at bottom were: Gombe (41.9, 45.1
and 44.4), Niger (42.7, 49.1 and 47.2) and Benue (46.0, 49.9 and 46.4) performed in the order
low, moderate and high levels of non-learning engagement.
Figure 10.21: Non-Learning Engagement as Related to Achievement in JS 3 Social
Studies
Low
Moderate
High
179
Occupation of Fathers and Achievement
Figure 10.22: Occupation of Fathers as Related to Achievement in Social Studies
In Figure 10.26, nationally, the
achievement of learners whose
fathers are in different occupations
was within a narrow range of 49.6 to
50.4. Learners from nineteen, twenty,
ten and six states performed above
the national average for fathers who
farm/fish, do business/trade, Work
(private/public) and ‘others’ respectively.
Farming
Business/Trading
Worker
Others
180
Occupation of Mothers of Learners as Related to Achievement
In Figure 10.27, learners whose mothers have occupations classified as others had the highest
achievement while those ones whose mothers are workers and farmers/fishers had the least
achievement. Learners whose mothers are into trading/business, workers (public/private),
farming/trading and „others‟ obtained national average of 50.4, 50.0, 50.0 and 50.6 respectively. Among the top performing states, Lagos (54.0, 53.6, 53.3 and 53.7), Ebonyi
(54.0, 53.3, 55.2 and 53.2) and Osun (53.1, 54.7, 52.9 and 54.6) while the low performing
states, Gombe: (44.4, 45.4, 44. 9 and 43.2), Nasarawa (46.7, 53.0, 47.7 and 48.0) and Plateau
(47.3, 48.9, 46.7 and 44.9) performed in the order farming/fishing, business/trading, worker
(public/private). Differences among the occupational groups do not seem to exist within states
were not significant. Therefore, it is not definitive as to which occupational group had the best
achievement.
Figure 10.23: Occupation of Mothers of Learners as Related to Achievement across
States
Farming
Business/Trading
Worker
Others
181
Transportation to School as Related to Achievement
In Table 10.4, the mean score of modes of transportation as related to achievement in Social
Studies are presented. The national averages were 50.09, 47.88, 48.06, 51.12, 50.24 and 50.16
for walking, donkey, canoe, okada/bicycle/tricycle, taxi/bus and family car respectively. The
number of states for which we have learners commuting to school by Donkey and Canoe were
quite few and they are therefore not considered in further discussion in this section. Learners
from 20, 17, 14 and 15 states performed above the national average for learners who go to
school by walking, okada/bicycle/tricycle, taxi/bus and family car respectively. Among the
top performers were Lagos (53.9, 52.87, 51.9 and 52.84), Ebonyi (53.7, 54.33, 58.04 and
52.84) and Osun (53.63, 53.67, 52.78 and 56.01) while among the low performers were
Gombe (44.85, 43.66, 45.58 and 43.75), Taraba (45.65, 46.48, 47.0 and 45.7) and Sokoto
(46.4, 47.79, 48.32 and 48.17) in the order walking, Okada/bicycle/tricycle, taxi/bus and
family car. An examination of the scores across the states did not reveal a definite direction of
influence.
Table 10. 4: Mode of Transportation as Related to Achievement
State Walking Donkey Canoe
Okada/
Bicycle/
Tricycle
Taxi/Bus Family Car
Mean SE Mean SE Mean SE Mean SE Mean SE Mean SE
ABIA 50.33 0.51 = = = = 50.28 2.11 51.42 1.41 49.49 3.40
ADAMAWA 49.18 0.54 = = = = 48.06 1.77 47.87 3.13 48.25 2.85
AKWA-
IBOM
49.84 0.49 = = = = 51.59 1.16 48.20 3.55 47.65 2.32
ANAMBRA 52.48 0.54 = = = = 52.40 1.37 50.83 1.15 53.63 1.51
BAUCHI 47.45 0.49 = = = = 48.42 2.88 45.30 2.37 49.11 4.52
BAYELSA 50.36 0.88 = = 54.88 1.98 52.30 2.49 * * 54.22 7.16
BORNO 48.41 0.57 = = = = 48.93 3.16 52.11 3.39 48.01 1.10
BENUE 47.48 2.26 = = = = * * 47.19 1.75 51.25 4.17
CROSS
RIVER
50.17 0.50 = = = = 49.95 2.32 48.45 2.13 51.09 2.16
DELTA 51.79 0.60 = = 58.20 0.00 50.08 2.62 48.20 3.05 53.72 1.30
EBONYI 53.70 0.46 52.55 0.00 = = 54.33 1.09 58.04 1.47 56.13 2.60
EDO 51.91 0.61 51.09 5.57 = = 51.41 2.19 * * 53.46 2.18
EKITI 51.07 0.48 = = = = 54.92 1.28 50.38 1.58 49.57 1.64
ENUGU 51.72 0.43 = = = = 52.01 1.14 53.31 2.05 49.55 1.07
GOMBE 44.85 0.46 = = 44.49 1.46 43.66 1.05 45.58 1.93 43.75 0.84
IMO 52.60 0.51 = = = = 52.62 1.83 51.68 1.98 56.85 1.91
JIGAWA 48.18 0.47 37.56 0.00 = = 45.19 1.39 48.28 2.41 47.50 2.04
KADUNA 47.53 0.51 = = 40.71 0.00 45.85 1.32 49.37 2.29 47.07 2.56
KANO 49.36 0.74 = = 44.49 0.00 50.41 1.74 54.59 3.29 * *
KATSINA 50.37 0.57 = = = = 51.40 1.63 49.07 2.19 54.08 4.38
KEBBI 51.45 0.62 = = = = 52.42 1.46 47.44 3.93 53.20 2.11
KOGI 51.02 0.74 = = = = 44.21 3.02 49.75 1.42 49.36 2.68
KWARA 51.45 0.47 = = = = 49.44 1.41 49.45 1.79 53.10 1.83
LAGOS 53.90 0.52 = = 55.27 2.49 52.87 0.82 51.90 1.23 52.84 1.80 NASARAWA 46.63 0.82 = = = = 48.44 2.78 * * 52.36 1.91
NIGER 48.41 0.64 41.20 4.91 = = 45.81 2.56 51.89 2.35 49.68 3.04
OGUN 51.17 0.56 = = = = 52.43 1.17 48.13 2.56 45.00 3.96
ONDO 51.10 0.52 = = = = 51.95 1.55 55.70 1.14 47.02 1.58
OSUN 53.63 0.39 = = = = 53.67 1.64 52.78 0.92 56.01 1.56
OYO 49.72 0.60 = = 54.07 0.00 44.90 1.52 48.14 1.33 49.99 0.94
PLATEAU 47.49 0.59 48.40 0.00 = = 51.66 1.40 46.29 2.22 46.90 1.99
RIVERS 51.99 0.47 = = = = 54.51 1.65 51.72 1.54 49.38 1.67
182
SOKOTO 46.40 0.57 = = 38.58 0.00 47.79 2.41 48.32 2.24 48.17 2.05
TARABA 45.65 0.50 = = = = 46.48 1.80 47.00 2.74 45.70 1.40
YOBE 48.52 0.55 = = = = 47.96 1.77 47.24 2.04 48.53 1.99
ZAMFARA 49.85 0.55 = = = = 49.74 1.42 49.78 0.45 42.80 1.95
FCT 53.46 1.01 = = = = 53.13 1.68 51.89 1.24 52.21 1.61
National 50.09 0.13 47.88 2.84 48.06 2.73 51.12 0.41 50.24 0.51 50.16 0.48
*Not applicable
Number of Meals per Day as Related to Achievement
The highest achievement in Figure 10.31 was obtained by learners who had three meals a day,
followed by those who had one meal and two meals. The lowest achievement was displayed
by learners who had four meals.
Figure 10.24: Number of Meals per Day as Related to Achievement at the National Level
In Figure 10.32, learners from 19, 18, 18 and 17 states performed above the national average
for learners who ate once, twice, thrice and four times a day. Among the top performing
states, Lagos (54.4, 53.0, 51.9 and 53.8), Osun (54.0, 53.6, 53.1 and 56.1) and FCT (53.9,
52.1, 50.8 and 52.7) while among the low performing states, Gombe (44.6, 44.5, 46.3 and
44.2), Taraba (45.7, 45.3, 46.1 and 45.2) and Plateau (47.1, 52.0, 48.4 and 45.7) exhibited
performance in the order once, twice, thrice and four times a day. The scores showed little
variation except in Plateau State where learners who had two meals per day out-performed
learners in other categories.
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Figure 10.25: Number of Meals per Day as Related to Achievement for Learners across
States
One meal
Two meals
Three meals
Four meals
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Possession of Textbooks as Related to Achievement
In Figure 10.33 the national average for learners with textbooks was 50.3 which was higher
than that for learners without textbooks (49.9). Among the states, learners without textbooks
from 20 states scored above their national average while learners with textbooks from 19
states performed above the national average for learners with textbooks. Though, in addition
to the little difference between Me National average for both categories, there were little
variations between states, suggesting a weak relationship between the possession of textbooks
and achievement in Social Studies.
Figure 10. 26: Availability of Recommended Textbooks as Related to Achievement
Non possession of textbook on Soci
Possession of textbook on Social Stu
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Chapter Eleven
Major Findings Implications and Recommendations
In this chapter, the major findings are indicated, the implications articulated and
recommendations made. The findings are based on the results as presented in Chapters three
to ten.
11.1 Results
11.1.1 Chapter three
1. The dominant occupation for the fathers was working in public and private sectors, while
that of the mothers was business/trading.
2. Majority of the learners lived with their parent.
3. The modal number of children in the families was 4-6.
4. The predominant number of siblings participating in each of primary, secondary or tertiary
levels of education was 0- 3.
5. More than 60 percent of the learners ate three meals a day.
6. At least 80 percent of the learners had one pair of school uniform.
7. English studies had the largest number of learners that owned textbooks which was closely
followed by Mathematics.
8. More than 50 percent of learners spent 1 hour on homework daily.
9. Assistance with homework was provided by parents, siblings, paid tutors and guardians.
10. The most prevalent educational facilities in the homes were TV and radio; however video
and reading materials were available to at least 40 percent of the learners.
11. The distance between home and school for about 70 percent of the learners was less than 3
km.
12. Among the learners, 79 percent walk to school, while the remaining learners go to school
with other means of transportation.
13. The predominant co-curricular activities were games and sports, cooking, and farming.
11.1.2 Chapter four
1. More than 70 percent of the principals were aged between 50-59 years and more than 90
percent are married.
2. About 80 percent of principals had teaching qualification and were graduates with
teaching qualification.
3. There were more male teachers than female teachers.
4. Majority of the teachers were less than 50 years old and a majority of them were married.
5. More than 80 percent of the teachers were professionally qualified to teach in junior
secondary schools.
6. About 60 percent of the teachers had taught for between 1- 10 years.
7. More than 55 percent of principals had attended conferences/seminars/workshops within
the last 5 years.
8. The training programmes, most patronised by teachers were; teaching subject method,
classroom management and Guidance and Counselling.
9. About 50 percent of the principals documented disciplinary actions as part of school
records and about the same number of principals discussed the issues with the parents.
10. Between 40-50 percent of the principals had full freedom in making decisions about
specification of minimum requirements before learners can progress to the next level, and
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use of learners‟ achievement test. About 40percent of the principals indicated they have no
freedom at all in selection of topics for teaching.
11. Teachers had freedom to take decision on all issues and majorly on selection of
instructional materials, use of learners‟ achievement and amount of homework to be assigned.
12. More than 85 percent of the principals reported that they were satisfied with their jobs.
13. Audio visual materials (e.g. films or tapes) were used by less than 40 percent of the
teachers.
14. Teachers used objective tests, Open ended or essay type questions, Oral tests, Project
work or pupils‟ written reports and Homework handed in as part of assessment practices. 15. Identifying appropriate teaching activities, developing techniques for teaching in large
classes and overcoming difficulties encountered in providing excursions outside the
classroom were areas of need indicated by less than 40 percent of the teachers.
16. Subject teachers did not need help in almost all the instructional materials and evaluation
practices examined.
17. The pressing problems frequently encountered by the classroom teachers were lack of
instructional materials, learners‟ lack of interest in class/school, and lack of basic
infrastructure.
11.1.3 Chapter Five
1. More than 75 percent of the schools ran morning shift only.
2. More than 80 percent of teachers indicated that the learners lived within a radius of 3km
from the school and more than 75 percent were of the opinion that the learners walked to
school.
3. About 93 percent of the schools actually had PTAs; PTA met as the need arose in more
than 45percent of the schools and termly in more than 30 percent of the schools.
4. More than 75 percent of the parents had attended PTA meetings.
5. Assistance was rendered by more than 50 percent of the parents to schools in finance,
instructional materials, security, co-curricular activities and teachers‟ welfare while assistance with respect to buildings was very minimal.
6. More than 50 percent of teachers indicated that the relationship between schools and the
community was excellent.
7. About 70 percent of the principals indicated that the schools were fenced, while about
75percent indicated that security personnel were engaged.
8. About 70 percent of principals indicated that the school compound was „well defined, secured from encroachment and large enough for buildings, playgrounds and gardens‟.
9. Almost all of the states, with the exception of Bauchi, had more than 70 percent of
classrooms needed.
10. Facilities such as staff room, weather station, school garden/farm and lockable storage
space were not very adequate.
11. There was a great shortage of toilets of all types for the teachers and learners.
12. Teachers‟ Guide, syllabus and curriculum modules were not available in more than 40
percent of the schools.
13. All of the curriculum materials were assessed as adequate by less than 50 percent of the
principals.
14. Instructional materials mainly available in schools were textbooks.
15. The most predominant source of water was well water and borehole water
16. Facilities for football, handball and athletics were available in less than 40 percent of the
schools.
17. Less than 26.0 percent of the schools had the facilities for refuse disposal.
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11.1.4 Chapter Six
1. About 92 percent of the learners indicated that they are liked by their parents.
2. Mathematics and English Studies were the two most liked school subjects by the learners
while mathematics and Basic Science and Technology were two subjects also indicated as
not liked by (-percent).
3. About 93 percent of the learners indicated that they liked their teachers.
4. About 90 percent responded that they liked schooling.
5.
11.1.5 Chapter Seven (English Studies)
Results here are presented under two main headings, namely cognitive and relational.
11.1.5.1 Achievement
National Achievement 1. National average of learners‟ achievement in English Studies multiple choice test was
50.0 and 49.83 percent in the essay test.
2. The range (of transformed scores) of learners showed that more than half of them (52.8
percent), scored between 50-74 percent in the multiple choice test while 39.6percent
scored between 40-49percent.
3. The achievement in percentile showed that scores of 64.16 and 63.75 of the learners in
the essay and multiple choice tests respectively, were obtained by 90percent of learners
who took the tests; thus essay test was easier for the learners.
4. Group achievement of learners by gender was not significantly different in both the
multiple choice (male = 49.72; female = 50.30) and essay (male = 49.71; female = 49.96)
tests.
5. Similarly, group achievement by location was also not significantly different in both
multiple choice and essay tests between the urban and rural learners. Multiple choice test:
urban = 49.99 and rural =50.01; Essay test: urban = 49.70 and rural= 49.98.
6. Learners performed best in Reading (65.50 percent) with respect to content domains and
least in Grammatical Accuracy (48.10 percent).
7. Learners‟ achievement in the cognitive domain was highest in Comprehension (61.17
percent) and lowest in Knowledge (45.7 1 percent).
8. Analyses by geo-political zones revealed that learners
Scored lower than the national average of 49.83 in two zones [South West and
North West] and higher in four zones [South East, North East, North Central and
South South] in the essay test.
The three southern zones (South South, South West and South East) scored above
the national average of 50.0 in the multiple choice test and the three northern zones
(North East, North West and North Central) scored below the national average.
9. Group achievement in the geo-political zones by location showed that :
Achievement of the female learners in the essay test was better than that of male
learners in five zones of North Central, North East, South East, South South and
South West.
Similarly, the achievement of the female learners in the multiple choice test was
better than their male counterparts in four geo-political zones of North West, South
East, South South and South West.
10. Group achievement in the geo-political zones by location showed that :
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Learners in rural schools performed better in the essay test than their counterparts
in urban schools in four zones (North Central, North West, South East, and South
South), while there was near parity in the score of learners from the South West.
Similarly, Learners in rural schools performed better in the multiple choice test
than their counterparts in urban schools in four zones (North Central, North East,
North West, and South South), while the urban learners were better in two zones
(South East and South West).
State Level Achievement
11. In the Essay Test:
Male learners in 18 states scored above the national male average of 49.71 while
the female learners in 20 states and the FCT scored above the national female
average of 49.96.
Female learners in 22 states and the FCT performed better than their male
counterparts.
12. In the Multiple Choice Test:
Male learners in 18 states and the FCT performed better than the female learners
while the female learners performed better than their male counterparts in 18
states.
Male learners scored above the national average for males in 18 states while the
female learners scored above the national average for females in 19 states and the
FCT.
Achievement in the Content and Cognitive Domains
13. At the national level, learners performed above 50 percent in Reading. Learners from
South East, South West and South South had the highest achievement at 70 percent
and learners from North East and North West had the lowest achievement which was
below the national average in Reading. Learners from the southern geo-political zones
performed better than the learners from the northern geo-political zones in reading.
14. Achievement in Grammatical Accuracy was relatively low; however some geopolitical
zones performed a little above the national average. North West learners had the
lowest achievement of 36.78 percent which has an outstanding variance from the
national average, while South West learners had the highest achievement of 54 percent
which is higher than the national average of grammatical accuracy.
15. The national achievement of learners in writing was above 50percent, learners in
South East answered correctly about 67 percent of the items on writing which was the
highest among the geopolitical zones while learners from North East answered
correctly about 51percent of the items on writing which was below the national
average of writing.
16. However, literature was on the average, learners at the national level scored 50percent
in literature, the disparity among the geo-political zones are not far apart. South East
learners had the highest achievement of 58 percent followed by South West learners at
57 percent and North East learners had the least achievement at 39.9 percent followed
by North West learners at 44.1 percent in the literature items
11.1.5.2 Relational Analysis
1. There was no significant difference between learners with high assistance and low
assistance; however learners with low assistance performed higher.
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2. Learners who liked their teachers performed better in English language items than
learners who did not like their teachers.
3. Learners with high level of facilities and materials available to them scored higher than
those where facilities and materials were both low and moderately available.
4. Learners in 17 states that engaged in low out-of-school non-teaching activities scored
higher than learners that are of moderate and high out-of-school non-teaching
engagement. Learners in only 7 states had the least achievement in relations to out of
school non-teaching engagement.
5. Those with low out of school non-teaching engagement at the national level performed
best across the nation.
6. Learners whose mothers were business women/traders and private or public workers
performed better than other learners whose mothers were engaged in „other things‟ across the nation.
7. Learners who used taxi/bus as a means of transportation to school performed higher than
other learners in English Studies across the nation. However, learners that used
Okada/bicycle/tricycle as a means of transportation in 15 states (such as Anambra, Cross
River and Benue) performed better than learners that used other means of transportation
to school, while learners that used donkey and canoe as a means of transportation to
school were the least performers.
8. Learners in 10 states among which are Adamawa, Akwa-Ibom, and Benue whose
distance is less than 1kilometre from home to school scored high in the English Studies
while learners in 10 states among which are Borno, Ebonyi, and Ekiti whose distance
from home to school was more than 3kilometres scored high in the English Studies across
the nation.
9. Learners from 14 states, e.g. Bauchi, Delta, Edo, Imo and Kano who ate four times daily
performed better than other learners who ate less than four times daily.
10. Learners in 22 states such as Akwa-Ibom, Enugu, Yobe, etc who had English language
textbooks performed better than other learners.
11. Learners in 25 states such as Abia, Cross River, Borno, Ekiti and Lagos who liked
schooling scored higher in English test items than other learners.
11.1.6. Chapter Eight (Mathematics)
11.1.6.1. Achievement
National Level
1. The national average of learners‟ achievement in mathematics multiple choice test was 50.17 and 49.84 in the essay. This implied that learners performed better in the
multiple choice test than in the essay test.
2. The national range of transformed scores of learners showed that 63.10 percent and
43.50 percent of the learners scored 40-49 in the essay and objective tests respectively.
3. Learners who scored 65.1 and 65.4 on multiple choice and essay tests respectively
performed better than 90 percent of all learners who took the respective tests.
4. Male learners scored higher in the multiple choice test than the female learners but
female learners performed better in the essay test than the male learners, although the
differences were not substantial.
5. Group achievement of learners showed that learners in rural schools performed better
than those in urban schools in the two tests, although the differences were not very
large.
A. Geo-Political Level
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6. Group achievement of learners indicated that learners performed better in the Multiple
Choice Test in the political zones except in North East where learners performed better
in the Essay Test.
7. Learners in North West, South East and South West performed above the National
average (50.17) in the Multiple Choice Test, while Learners in North Central, North
West, South East and South West performed above the national average (49.84) in the
Essay Test.
8. Female learners performed better in essay test in four zones (North East, North West,
South South and South West), while male learners performed better in essay test in
only two Zones (North Central and North East).
9. Female learners in three Zones- North Central (50.58), North West (50.58) South
South (49.85) performed better in Multiple Choice Tests than the other Zones.
10. The achievement of learners in rural schools was better than that of learners in urban
schools except in North Central and North West in the Essay Test. Similarly, the rural
schools performed better than the urban schools in the Multiple Choice Test except in
North East and North West.
State Level
11. Learners in Akwa-Ibom state led the other states in Multiple Choice Test, while Benue
State led the other states in the mathematics essay test.
12. Kebbi state, with a mean score of 60.81, performed better than the other states and the
FCT in the Multiple Choice Test, while Ebonyi state, with a mean score of 51.73,
performed better in the Essay Test than other states and the FCT, although the
differences were not substantial.
13. Female learners performed better in both tests than their male counterparts with a
national average achievement of male and female learners at 50.09 and 50.29 for the
Multiple Choice and 49.80 and 49.89 for the Essay Test respectively.
14. Learners achieved more in items that required comprehension behavioural objective
(48.51 percent) than knowledge (45.51 percent) and higher order categories (40.97
percent).
15. Learners scored more on items in topics related to the theme algebraic process (50.46
percent) than in items covering the theme number and numeration (48.67 percent) and
basic operations (41.33 percent).
11.1.6.2 Relational Analysis
1. Moderate assistance with homework yielded a high level of achievement by learners
(48.20).
2. Increase in the availability of learning materials decreased achievement.
3. Learners with high level of out of school non-learning engagement (48.70) performed
better than learners with low and moderate level of out of school non-learning
engagement (48.30 and 47.60 respectively).
4. Learners whose fathers were into business/trading (48.40) performed better in
mathematics than those whose fathers worked in the private/public sector (48.20) and
learners whose fathers were farmers/fishermen (47.90).
5. Learners whose mothers were businesswomen/traders and working in other sectors
performed better (48.30) than learners whose mothers were in the public/private sector
(48.0) and learners whose mothers were farmers/fisherwomen (47.20).
6. Learners who came to school on taxi/bus performed better (48.40) than other means of
transportation.
191
7. Learners who travelled more than 3km to school (48.30) performed better than others.
8. The learners who ate once a day (50.2) performed better than those who ate more than
once a day.
9. Learners who liked textbooks ((48.20) performed better than those who possessed
textbooks (48.10).
10. Learners who did not like their teachers (52.20) performed better than those who liked
their teachers (48.0).
11. Learners who did not like schooling (49.60) performed better than those who liked
school ((48.0).
11.1.7 Chapter Nine (Basic Science and Technology)
11.1.7.1: Achievement
National Level
1. The national range showed that 49.8 percent and 48.5 percent of learners scored 50-74
in the essay and multiple choice tests respectively.
2. Learners in rural schools performed better than the learners in urban schools in the two
tests, although the differences were not large.
Geo-Political Level
3. Male learners performed better than the female learners in the Essay Test in four geo-
political zones (North Central, North East, South South, and South West respectively),
while female learners performed better than the male learners in Multiple Choice Tests
in all the Geo-political Zones.
4. Learners in urban schools performed better than learners in rural schools in four Geo-
political Zones (North West, North East, South South, and South East) in both tests,
while male learners from two Zones (South West and North Central) performed better
than their female counterparts for both Essay and Multiple Choice Tests.
5. Learners performed better (52.58) in items relating to living and non-living things than
in the other themes of the content domains.
6. Learners from South East performed better than learners from other Geopolitical
Zones in all the themes while learners from North East had the lowest scores among
the Geopolitical Zones.
State Level
7. Learners in FCT performed better than the other states with a mean of 58.43.
8. Male learners in the FCT performed better in the multiple choice tests with a mean of
59.11 while female learners in Benue performed better in the essay with a mean score
of 54.03.
9. In the Multiple Choice Test, the highest mean score for the rural and urban schools
were from Lagos state and the FCT respectively, while the highest mean score for
essay is from AkwaIbom (52.49) for rural schools and Bauchi (50.49) for urban
schools in the Essay Test. On the other hand, Kwara state had the lowest mean score
(41.15) for rural schools and Ekiti (42.18) for the urban schools in the essay test.
10. Learners in urban schools performed better than learners in the rural schools.
11. Learners in Lagos state had the highest mean score in You and Your Environment
(63.69) and You and your Energy (37.37).
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12. Learners in the FCT recorded the highest mean score in the themes „Living and non-
Living Things‟ (64.76) and „Science and Development‟ (31.37).
11.1.7.2 Relational Analysis
1. Low level of assistance to learners with their homework yielded highest level of
achievement of 50.20.
2. Learners with high level of available learning materials (50.70) performed better than
others.
3. Learners with low level of after school non-learning engagement (50.0) had the
highest mean scores.
4. Learners whose fathers were workers in the public/private sector performed better than
learners whose fathers were businessmen/traders, farmers or fishermen.
5. Learners whose mothers were traders had better achievement than learners whose
mothers were either farmers/fisherwomen or work in the public/private sector.
6. Learners who go to school with donkey had a higher achievement than those with
other means of transportation.
7. Learners who walked more than 3km recorded higher score than others who walked
less than 3km to school.
8. Learners who ate four times daily performed better than learners who ate less than four
times daily.
9. Learners who had textbook performed better than learners with no textbook.
10. Learners who liked their teachers recorded higher achievement than those who did not
like their teachers.
11. The scores of learners who did not like schooling were higher than those who liked
schooling.
11.1.8 Chapter Ten (Social Studies)
11.1.8.1. Achievement
National Achievement
1. The national average of learners‟ achievement in the multiple choice test was 50.15
and 50.00 in the Essay Test.
2. At the 90th
percentile, the learners‟ achievement was higher in the essay test than in the multiple choice test.
3. Male learners performed better in the essay test than their female counterparts, but the
female learners scored higher in the multiple choice test than the male learners.
However, the differences were not substantial.
4. Learners in rural schools performed higher than those in urban schools in the two tests.
However, the differences in the achievement of learners in both setting were not
significant.
State Level
5. The achievement level of learners in multiple choice test was higher than their
achievement in essay test.
6. Ebonyi, Osun and Lagos States were on top of the achievement chart of States on the
mean scores in the multiple choice test.
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7. 16 States (Abia, Akwa-Ibom, Bauchi, Cross river, Delta, Ekiti, Enugu, Kebbi, Kwara,
Nasarawa, Niger, Ondo, Oyo, Taraba, Yobe, and Zamfara scored below the national
average in the Social studies essay test while 18 States (Adamawa, Borno, Benue,
Bauchi, Gombe, Jigawa, Kaduna, Kogi, Katsina, Kano, Nasarawa, Niger, Oyo,
Plateau, Sokoto, Taraba, Yobe, and Zamfara) scored lower than the national average in
multiple choice test.
8. Learners from Osun State recorded the highest achievement in the multiple choice test
in urban schools while the highest achievement in rural schools was from Ebonyi
State.
9. Learners from Osun State also recorded the highest achievement in urban schools in
the essay test while the highest achievement in rural schools was from Ondo State.
10. Male learners from Gombe State and female learners from Cross River State, on the
other hand, had the lowest score in the multiple choice test; while learners from Niger
and Abia States recorded the lowest achievement for urban and rural schools.
Geo-Political Level
11. Learners from all Northern geo-political zones scored lower than the national mean,
while those from the Southern zones scored above the national average. Learners from
the South East zone had the highest average achievement (54.45), while learners in the
North East had the lowest average score in the social studies multiple choice test.
12. Four zones (North Central, North East, South South and South West) performed lower
than the national average score (50.0) while North West and South East scored above
the National mean. North West had the highest score of 50.27 in the essay test.
13. Male and female learners in all the Northern zones scored below the national average
in the Multiple Choice test, whereas, the male and female learners in the Southern
zones scored above the national average.
14. Female learners performed better than the male learners in all the zones except North
Central and North West, where the male learners performed better in the multiple
choice test.
15. In the essay test, female learners performed better than the male learners in the South
East and South west zones but male learners performed better in the remaining four
zones.
16. In the essay test, the achievement of the learners in public schools was better than that
of learners in private schools in North East, North West, South East and South West
zones.
17. The variation with respect to location was mainly in favour of rural location.
Cognitive Domain
18. Learners in Osun State scored higher on items relating to Social Issues and Problems
(85.68 percent), Family i and ii (93.19 percent) and National Economy (62.64 percent)
while learners in Ebonyi State scored higher on items in Science, Technology and
Societies (84.54 percent), People and Environment (75.61percent), Culture (75.61
percent) and Communication (74.90 percent).
19. The Southern zones had a mean score above the national average for all the themes
covered.
20. No northern zone recorded a mean score equivalent to or above the national mean
score for items under Knowledge, Comprehension and Higher order objective.
21. Learners performed better in higher order objective items than in knowledge and
comprehension.
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11.1.8.2: Relational Analysis
1. Learners who received low and moderate levels of assistance in home work performed
best followed by those who received high level of assistance.
2. Learners with high level of out-of-school non-learning engagements did not perform
better than those that had low and moderate levels of after-school non-learning
engagements.
3. Learners who had high level of available facilities scored higher than those with
moderate or low level of available facilities.
4. The learners whose fathers were public/private workers performed better than those
whose fathers belonged to the other occupations.
5. Learners whose mothers had occupations classified as „others‟ had the highest achievement above learners whose mothers belonged to the other categories of
occupation.
6. Learners who went to school by donkey performed more than learners who went to
school by walking.
7. Learners who trekked more than 3km scored higher than those who trekking less than
3km while those who trekked 1kilometre to 2kilometres had the least achievement.
8. The learners who had 3 meals daily performed better than those who had two or one
meals in a day.
9. Across the nation, the achievement of learners without textbooks was higher than that
of learners with textbooks, though the difference was not substantial.
11.2: Implications for Policy and Practice This section examines the implications of the results from this study with respect to policy and
practice.
1. The results with respect to number of meals taken by learners and its effect on
achievement are important; lack of good and nutritious meals could distract the learners‟ attention and hamper their retention during lessons, just as it can also make them lose
interest in the school, resulting into truancy. The existing policy on school feeding by the
Federal Government is a welcome development. However, as it does not cover all the
states in the country at the moment, the government should intensify its provision for the
school feeding programme across the states and ensure that the funds allocated for school
feeding are judiciously used. The state governments should also consider initiating their
own feeding programmes, especially in schools located in places that record low
enrolment or low-income areas. Parents should ensure that the children are well fed, as
this will facilitate their concentration in the school.
2. School uniform gives identity to the learners and ensures that they fit into the school
system. Thus, not wearing a decent set of uniform might portray the learners badly,
suggesting lack of affection from their parents and or poverty; and could possibly lead to
low self-esteem among such learners. The net consequence is loss of confidence and poor
achievement in the school subjects. Luckily, the results in this study show that a large
number of the learners have at least two pairs of uniform. To ensure that uniforms are
available to all learners, policies should be in place to support parents who cannot afford
to provide uniforms for their children. There could be regular provision of uniform at a
subsidised rate, especially in low-enrolment and low-income areas as well as encouraging
learners on graduation to donate their uniforms to the school for the use of those who
cannot afford to buy.
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3. From the report, more than 60 percent of the learners did not possess the required
textbooks. Possession of textbooks, especially in the core subjects, is the only way
learners could meaningfully participate in classroom activities. Any learners without the
required textbooks will, definitely not be able to effectively engage in homework given in
the school or study on their own. Though the results found in this study are mixed with
respect to effect of textbooks possession on achievement, effort should be made to make
available the requisite textbooks to all learners in the country. Policies can be enacted to
encourage experts in the different subject areas to publish relevant and affordable
textbooks. Such policy as where UBEC provides textbooks to states for distribution to
school should be sustained. The governments should equally promote the development of
the library system in the schools and within the communities, as this will greatly avail
learners whose parents cannot afford to buy all the textbooks access to the required ones.
Teachers should be encouraged to assist learners to develop note-taking skills in order to
fill in the gap created by shortage of the needed textbooks.
4. The availability of educational resources in the home for the use of the learners, in
addition to the facilities in school, can complement the effort of the teachers and greatly
enhance learners‟ academic achievement. These may include the computer, Internet access
anda good library. However, due to the earning capacity of majority of parents, not all
learners could have such valuable learning support resources in their homes. Simple and
functional educational resource centres could be developed in the communities for the use
of the learners, particularly those in rural and low-income areas through community
involvement.
5. More than 75 percent of the learners lived within a radius of 3km to the school. Thus the
current policy of sitting schools close to the learners‟ home appear to be implemented.
Though learners who travel more than 3km exhibited the best achievement in some cases,
the policy should be sustained because of the difficulties emergent from having to travel
long distances to the school. In this way, lateness and loss of effective participation in
lessons could be avoided. In states where there are organised mass transit buses that ply
the major roads, a workable system should be developed that specifically caters for the
learners during school hours as is the case in Edo State where learners in school uniform
are transported to and fro schools free of charge.
6. A large number of the learners indicated that they are liked by their parents. A warm
affection between parents and their children also translates into love, confidence, good
behaviour and positive achievements for the learners. This should be sustained through
encouraging local communities in particular to embrace their children and support them at
all times, as this will greatly promote their development and endanger learning
achievement. There should be a sustained effort to sensitise the parents using different
platforms, such as community organisations, the PTAs and the media both print and
electronics.
7. Co-curricular activities are very important to learners, because they help in their overall
development. Sporting centres in all neighbourhoods, especially in the urban areas, for the
use of the learners can go a long way in enhancing participation in extra-curricular
activities and get learners and youngsters engaged.
8. Existing teaching force and their principals are ageing. A replacement should be put in
place to minimise deficiencies that might arise with the loss of experienced teachers and
principals. In order to have meaningful improvement in teaching and learning in the
country, all subject teachers must be qualified teachers. The result from this study shows
that the country is not lacking in this regard. Requisite qualification and certification for
employment and promotion of all categories of teachers and principals should be the
guiding principle in their employment and promotion. A conscious mentoring policy for
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younger and newly employed teachers should be put in place so as to ensure that there is
no vacuum at any time in schools following the retirement of their teachers or principals.
9. Teachers need to regularly attend professional development programmes, in order to
update their knowledge and skills in order to keep abreast with the latest developments in
their different disciplines. One way to ensure and sustain the tempo for teachers‟ participation in their professional development is to compel them to become members of
their professional organisations. State Ministries of Education and the schools have the
duty to ensure compliance.
10. The most pressing problems the teachers often faced in the school were lack of
instructional materials and basic infrastructures. For others, it was lack of interest in
teaching. Low salary and poor services. It is very essential for these resources to be
available in schools and for authorities to continually monitor their utilization in addition
to improved salary and working condition for teachers. Governments should enforce the
policy of regular and periodic inspection of the schools and compel school leadership to
discuss reports submitted by the Quality Assurance officers, as well as take appropriate
action to address any lapses observed.
11. The most pressing problem the teachers encounter with the learners, as contained in the
survey report, was lateness to school. Others included truancy, absenteeism, lack of
interest in class and stealing. Parents have a key role to play. However, their regular
participation in P.T.A. meetings to discuss their issues and proffer solutions to them would
go a long way in improving the health of the institution and thereby creating a learner-
friendly environment to enhance achievement.
12. With respect to assessment, school heads must encourage their teachers to adopt the
assessment patterns that best suit their situations, while integrating proper implementation
of continuous assessment into their schools. Teacher development programmes should
also focus on the different assessment patterns available and adopt those that are best for
their learners. Managing learners is very important as it allows the teacher to use available
time for more constructive activities. School guidance and counselling programme should
be invigorated in order to provide effective guidance and counselling in schools.
13. Community support to schools is an age old tradition that should be encouraged at all
times, they support with finances, instructional materials, buildings, security, co-curricular
activities and even teachers‟ welfare. All parents and other well-meaning Nigerians should
be involved in contributing to the development of schools in the country.
14. Attitude of parents/guardians towards their children/wards is important and should be
encouraged to affection to them. They should equally be educated about the consequences
of neglecting their parental roles. Teachers should also be encouraged to portray good and
positive attitudes towards their learners. Teachers‟ use of humanistic and innovative teaching methods can encourage the learners to develop interest in every subject. This can
be easily achieved through their regular participation in teacher development programmes.
The development of a child friendly environment in all schools is imperative and this can
be achieved through the provision of secure in school environment, good compounds, and
toilets for both male and female learners and teachers.
15. Learners performing better on higher order objectives in some subjects could be an
indication that teachers are emphasising critical thinking skills in teaching. This is a
positive trend and should be encouraged. The fact that assistance with homework did not
provide the same trend across the different subject areas is worrisome. Consequently
attempt must be made to go beyond mere assistance to looking at the quality of the
assistance itself. Parents should be informed that only those who possess the requisite
knowledge base should render assistance to the wards.
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16. No matter the occupation of parents, school should evolve a strategy to inform and
encourage parents to constantly show interest in their children‟s education in interacting with them. Parental involvement may increase the children‟s achievement in English,
Mathematics, Basic Science and Technology and Social Studies as studies have shown.
11.3 Recommendations
Based on the results from this study, some recommendations are germane.
1. Uniforms should be provided for all learners because lack of it may have adverse
consequences on the learners‟ psyche and eventual performance. 2. Although learners that did not like schooling performed better than those that liked
schooling, there is need to address factors that are responsible for the lack of interest in
schooling, such as bullying, poor management of learners especially those with health
challenges, inadequate classrooms, lack of support or motivation from teachers, irregular
attendance to class by teachers, teachers not teaching well, among others. Infrastructural
facilities should be provided while the school environment should be made more learner-
friendly. Teacher-learner positive relationship should be encouraged and properly nurtured
as teacher‟s positive attitude and teaching pattern could enhance learning.
3. The findings revealed that learners who did not have textbooks, particularly Mathematics
and Social Studies, performed better than those who had. Though there is need to
investigate this further, the lack of textbooks and instructional materials could pose a
serious challenge to effective teaching and learning. This is a problem that should be given
serious consideration by stakeholders and government at all levels. It is therefore
recommended that learners should have textbooks in at least the core subjects.
4. Although the majority of teachers have participated in one form of staff development
programmes or the other, the gains of these programmes do not seem to have been
effectively utilised in the classroom going by the poor achievement of learners in
knowledge, higher order, grammatical accuracy and everyday statistics among others.
Thus, the content of the staff development programmes should be restructured to make
them more sensitive to the pedagogical skills needs of teachers at basic education level.
5. There is the urgent need for UBEC to ensure that the strategic plans for teachers‟ professional development submitted to her by the SUBEB are properly scrutinized to
ensure that they cover the identified areas of teachers‟ needs. Similarly, Nigerian
Educational Research and Development Council (NERDC), National Teachers Institute
(NTI), National Commission for Colleges of Education (NCCE), and other agencies
responsible for teachers training and curriculum development should evolve means of
ensuring that this inadequacy is addressed.
6. The learners‟ relatively higher achievement in reading than grammar suggests that schools
need to pay greater attention to grammar than hitherto, considering the importance of
grammar in writing and speaking. Deliberate effort needs to be taken by the schools to
enhance the learning of grammar.
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7. The learners‟ lower achievement in higher order objectives which included the skills of
expressing themselves in writing and in speech suggests that schools also need to pay
more attention to the development of higher order skills.
8. The relationship between most of the contextual variables and learners‟ achievement was ambiguous, for example, the result on the relationship between the level of assistance with
homework and learners‟ achievement. What seemed to have mattered most was the quality
of assistance. There were little variations within states on the influence of the variables in
question. However, between states there were large differences. The purpose of relational
analysis was to examine how variables relate to achievement within the state. There is the
need for further investigations on some of these findings.
9. The finding showed that states performed lowest in the higher order objectives, whereby
learners had difficulty applying and creating solutions to Mathematical problems. This
deficiency could ultimately affect how they learn Mathematics and related science
subjects at secondary school level and even beyond.