brain dominance thinking styles and problem solving skills of higher secondary students introduction
TRANSCRIPT
BRAIN DOMINANCE THINKING STYLES AND PROBLEM SOLVING SKILLS OF
HIGHER SECONDARY STUDENTS
INTRODUCTION
Ned Herrmann is Father of brain dominance technology. He drew on the work of Sperry and
developed the theory brain dominance where people develop a dominant mode of thinking
preference. These can range from an analytical "left brain" approach to "right brain" approaches
involving pattern matching and intuitive understanding. These preferences have their roots in our
genetic makeup and how it affects our underlying cognitive capabilities. For example left-right
handed preferences have been observed in the womb. As we develop we tend to respond with our
strongest abilities as these lead to quicker short-term rewards. This can create a positive feedback
system that will strengthen those abilities. Eventually this can lead to a powerful preference for one
style over the other and a dislike and discomfort for other modes of thinking.
This universe consists of both living and non-living organisms, in science living organisms are
evolved from single cell and day by day, year by year end million by million years. These single
celled organisms modify their internal and external appearance and structure also. This continuous
modifying process is collectively called as evolution.In this evolutionary process only one organ ism
has got the amazing growth and a stationary place in the evolutionary tree i.e., evaluation of Man.
Man plays a vital role in the change of environment and the world. Discoveries and inventions are
made by man. The rapid growth of science and technology is the best example for human’s thirst for
achievement and proper utilization of brain All the modification, changes, new inventions made by
the man, man can change anything in the universe. Now, the Computer, Super Computer,
Engineering, Medical, Marine, Space and all the places men are dominating; these modification and
changes occur in this universe because of the proper utilization of human Brain.
Human brain contains the different lobes. i.e., left lobe or left hemisphere, right lobes or right
hemisphere and moderate lobe or central hemisphere. Each part has its own functions and activities
which decide one’s thinking styles and their problem solving skills.
Thinking and problem-solving is considered as cognitive abilities, the chief characteristics which
distinguish human beings from other species including the higher animals. Good poetry, a highly
developed computer or a robot, a beautiful painting, or magnificent buildings are all products of the
thinking, reasoning and problem-solving capabilities of their creators and inventors. Even to
understand, appreciate or put these in to use, we have employ our powers of thinking, and problem
solving. The challengers and problems faced by the individual, or by society, in general, are solved
through serious efforts involving thinking and problem solving. The powers of thinking and problem
solving may thus be considered to be the essential tools for the welfare and meaningful existence of
the individual as well as society. In this research the investigator tries to learn something about the
processes involved in the thinking and problem solving behavior of higher secondary students.
BACKGROUND OF THE STUDY
Deslauries, Denise (2008) conducted the study on, Students’ problem solving and understanding in
learning mathematics through conceptually and procedurally focused instruction: A situated
discourse approach.
The results were indicated that the different instructional conditions were implemented with
consistency. Within the problem-based instruction frame work and for the same problem-solving
activity, it was possible for the tutor to maintain the focus on concepts Vs procedures. Although both
approaches were equally beneficially to students, they affected the student’s cognitive activity
differently. Students’ talk was more procedural in both approaches, but their speech was more
balanced between concepts and procedures in CFI than in PH, indicating that student’s cognitive
processes were transferred differently from the modeling to the coaching discourse. These findings
have implications for policymakers in education standards. Future research is recommended top
extend such findings to other populations of students and to additional types of teaching approaches.
Cakir, Murat perit (2009) conducted the study on How online small groups co-construct
mathematical artifacts to do collaborative problem solving
The findings of the dissertation arrived at through ethno methodologically- informed case studies of
online sessions are organized along three dimensions.
(a) Mathematical affordances. White board and chat spaces allow teams’ to-co-construct multiple
realizations of relevant mathematical artifacts. Contributions remain persistently available for
subsequent manipulation and reference in the shared visual field. The persistence of contributions
facilities the management of multiple threads of activities across deal media. The sequence of actions
that lead to the construction and modification of shared inscriptions makes the visual reasoning
process visible.
(b) Co ordination methods. Team members achieve a sense of sequential organization across dual
media through temporal co ordination of their chat posting and drawings. Groups enact referential
uses of available features to allocate their attention to specific object in the shared visual field and to
associate them with locally defend terminology. Drawing and text messages are used together as
semiotic resources in mutually elaborating ways.
(c) Group understanding. Team develops shared mathematical understanding through joint
recognition of connections among narrative, graphical and symbolic realizations of the mathematical
artifacts that they have co-constructed to address their shared task. The interactional organization of
the co-construction work establishes an indexical ground as support for the creation and maintenance
of a shared problem space for the group. Each new contribution is made sense of in relation to this
persistently available and shared indexical ground, which evolves sequentially as new contributions
modify the sense of previous contributions.
Rousseau, Donna (2009) conducted the study on Improving mathematical problem solving skills: the
journey to success.
The purpose of this study was top determined if problem solving skills can be improved though the
use of an interdisciplinary programmes incorporating reading, music and mathematics. The study
was conducted in seven fifth grade classrooms and addresses the need to teach problem solving to
improve overall mathematics learning.
There was a statistically significant different between the gain scores of each of the treatment groups.
The low ability treatment groups had mean gain of 3.84, while the low ability control group had a
mean gain of 0.73, showing a statistically significant difference between gain scores of the two low
ability groups. There scores are an important findings in this study, implying that the students in the
low ability treatment programme class room were able to retain and apply the problem solving
strategies learned from the program and improve their post test score.
In addition, when comparing the mean scores of the treatment group as a whole from pretest to
posttest, the mean increased from 12.855 to 15.605, a gain of 2.750. The mean scores for the
combined control groups also increased from pretest to post test from 15.605 to 16.790, a gain of
only 1.774. This was another positive finding from the study.
The teachers implementing the treatment programme were very positive toward the story and the
lessons. The greatest challenge they faced was time. The students were enthusiastic about the story
part of the program and doing the problem in class.
Kim, Mihyeon (2009) fount that the Relationship between thinking style differences and choice for
high-achieving high school students.
The findings of this study demonstrated that the effect of programme on different thinking styles was
significant (P<.05) and the effect of gender on different thinking style was significant (P<.01). Also,
the findings showed that external thinking g style was a good predictor for choosing the social
science area for torture caners. However, students with a higher external thinking style chose
computer and math areas 73% less than students with lower external thinking style. Also findings of
the study demonstrated that students’ passions for a specific subject and family environment were
also important factors influencing caver choices of high achieving high school students.
The study suggested the important of taking thinking styles into consideration for the careered
development of high-achieving adolescents. In addition, the environmental influences of parents,
family, and schools are also important considerations for study’s career development, along with
students with inherent interest in a subject. Therefore, parents, teachers, and guidance counselor
should be recognizing their own critical role in shaping students’ career development.
SINGNIFICANCE OF THE STUDY
We have a natural tendency towards one way of thinking, two sides of our brain work together in our
everyday lives. The right side of the brain focuses on the visual, and processes information in an
intuitive and simultaneous way, looking first at the whole picture then the details. The focus of the
left brain is verbal, processing information in an analytical and sequential way, looking first at the
pieces then putting them together to get the whole. Educators must make provisions for individual;
differences in learning styles by providing alternative grouping arrangements, instructional material,
time frames and so on. Instruction for beginning language learners, in particular, should take into
account their need for context-rich, meaningful environments. Individual differences in learning style
may not be a simple matter of personal preference, but rather of individual differences in the
hardwiring of the brain and thus, beyond individual control. Most people have dominant side of
brain. Dominance goes into effect when thinking becomes increasingly more complex. Although
each sides of brain have its own set of in information processing and thinking.
Thinking styles in higher secondary is a turning point in an individual life. Therefore cerebral
dominance and thinking style are very closely related. Thinking style refers to the knowledge
attained or skills developed in the school subjects, usually designed by test, art and craft creative
works given by the teachers or by different concepts assigned by teachers. Thinking style of the
students depends upon so many factors. Cerebral dominance is one of the factors. This factor is in
positive, and then they will lead to good thinking styles which in turn help the students to develop
their problem solving skills. Therefore the investigator has selected the problem.
STATEMENT OF THE PROBLEM
TITLE
BRAIN DOMINANCE, THINKING STYLES AND PROBLEM SOLVING SKILLS OF THE
HIGHER SECONDARY STUDENTS
OPERATIONAL DEFINITIONAL DEFINITIONIS
The investigator adopted the following operational definitions for the terms used in this title.
BRAIN DOMINANCE
Each People have a dominant side of the brain. Individuals who are predominantly left sides tend to
be more verbal, analytical and problem solvers; while individuals who are predominantly right sided
tend to be artistic, good with mathematics, and more visual in nature. Cerebral dominance refers to
the extreme use of left or right or whole brain
THINKING STYLES
Thinking is behaviour which is often implicit and hidden and in which symbols (images, ideas, and
concepts) are ordinarily employed. Garrett (1968)
Here, it refers to the way of using the mind to form the different thoughts like synthesis thinking,
idealistic thinking, pragmatic thinking, analytical thinking and realistic thinking at their higher
secondary level.
PROBLEM SOLVING SKILLS
“Problem solving is a process of overcoming difficulties that appear to interfere with the attainment
of a goal. It is a procedure of making adjustment in spite of interferences”. Skinner (1968)
Here, Problem solving refers to the mental process and is part of the larger problem process that
includes problem finding and problem shaping. Considered the most complex of all intellectual
functions, problem solving has been defined as higher-order cognitive process that requires the
modulation and control of more routine or fundamental skills. Problem solving occurs when an
organism or an artificial intelligence system needs to move from a given state to a desired goal state.
Higher Secondary students
Here, it refers to the Students studying in XI and XII standards in higher secondary schools.
GENERAL OBJECTIVES
1. To find out the level of brain dominance of the higher secondary students
2. To find out the level of thinking styles of the higher secondary students
3. To find out the level of problem solving skills of the higher secondary students
4. To find out the relationship between brain dominance and thinking styles of the higher secondary
students.
5. To find out the relationship between thinking styles and problem solving skills of the higher
secondary students.
6. To find out the relationship between brain dominance and problem solving skills of the higher
secondary students.
SPECIFIC OBJECTIVES
1. BRAIN DOMINANCE OF THE HIGHER SECONDARY STUDENTS
a. To find out whether there is any significant difference between higher secondary students in their
brain dominance with respect to the background variables such as (a) Gender (b) Locality Residence
(c) Type of family, (d) medium of instruction, (e) Locality of the school
b. To find out whether there is any significant difference among higher secondary students in their
Brain Dominance with respect to the background variables such as (a) Educational District (b)
Community, (c) Religion, (d) Birth order, (e) Type of school, (f) Nature of school
c. To find out whether there is any significant association between brain dominance of higher
secondary students with respect to the background variables such as (a) Family Income(b) Parent’s
Education, (c) Parent’s Occupation
2. THINKING STYLES OF THE HIGHER SECONDARY STUDENTS
a. To find out whether there is any significant difference between higher secondary students in their
Thinking styles with respect to the background variables such as (a) Gender (b) Locality Residence
(c) Type of family, (d) medium of instruction, (e) Locality of the school
b. To find out whether there is any significant difference among higher secondary students in their
Thinking styles with respect to the background variables such as (a) Educational District (b)
Community, (c) Religion, (d) Birth order, (e) Type of school, (f) Nature of school
c. To find out whether there is any significant association between Thinking styles of higher
secondary students with respect to the background variables such as (a) Family Income(b) Parent’s
Education, (c) Parent’s Occupation
3. PROBLEM SOLVING SKILLS OF THE HIGHER SECONDARY STUDENTS
a. To find out whether there is any significant difference between higher secondary students in their
Problem solving skills with respect to the background variables such as (a) Gender (b) Locality
Residence (c) Type of family, (d) medium of instruction, (e) Locality of the school
b. To find out whether there is any significant difference among higher secondary students in their
Problem solving skills with respect to the background variables such as (a) Educational District (b)
Community, (c) Religion, (d) Birth order, (e) Type of school, (f) Nature of school
c. To find out whether there is any significant association between Problem solving skills of higher
secondary students with respect to the background variables such as (a) Family Income(b) Parent’s
Education, (c) Parent’s Occupation
4. RELATIONSHIP BETWEEN BRAIN DOMINANCE AND THINKING STYLES OF THE
HIGHER SECONDARY STUDENTS
To find out whether there is any significant relationship between brain dominance and thinking styles
of the higher secondary students with respect to the background variables (a) Educational District (b)
Gender (c) Residence (d) Type of family, (e) Birth order, (f) Community, (g) Religion, (h) Medium
of instruction, (i) Locality of the school (j) Type of school, (k) Nature of school (l) Family
Income(m) Parent’s Education, (n) Parent’s Occupation
5. RELATIONSHIP BETWEEN THINKING STYLES AND PROBLEM SOLVING SKILLS OF
THE HIGHER SECONDARY STUDENTS
To find out whether there is any significant relationship between thinking styles and problem solving
skills of the higher secondary students with respect to the background variables (a) Educational
District (b) Gender (c) Residence (d) Type of family, (e) Birth order, (f) Community, (g) Religion,
(h) Medium of instruction, (i) Locality of the school (j) Type of school, (k) Nature of school (l)
Family Income(m) Parent’s Education, (n) Parent’s Occupation
6. RELATIONSHIP BETWEEN BRAIN DOMINANCE AND PROBLEM SOLVING SKILLS OF
THE HIGHER SECONDARY STUDENTS
To find out whether there is any significant relationship between brain dominance and problem
solving skills of the higher secondary students with respect to the background variables (a)
Educational District (b) Gender (c) Residence (d) Type of family, (e) Birth order, (f) Community, (g)
Religion, (h) Medium of instruction, (i) Locality of the school (j) Type of school, (k) Nature of
school (l) Family Income(m) Parent’s Education, (n) Parent’s Occupation
NULL HYPOTHESES
1. BRAIN DOMINANCE OF THE HIGHER SECONDARY STUDENTS
a. There is no significant difference between higher secondary students in their brain dominance with
respect to the background variables such as (a) Gender (b) Locality Residence (c) Type of family, (d)
medium of instruction, (e) Locality of the school
b. There is no significant difference among higher secondary students in their Brain Dominance with
respect to the background variables such as (a) Educational District (b) Community, (c) Religion, (d)
Birth order, (e) Type of school, (f) Nature of school
c. There is no significant association between brain dominance of higher secondary students with
respect to the background variables such as (a) Family Income(b) Parent’s Education, (c) Parent’s
Occupation
2. THINKING STYLES OF THE HIGHER SECONDARY STUDENTS
a. There is no significant difference between higher secondary students in their Thinking styles with
respect to the background variables such as (a) Gender (b) Locality Residence (c) Type of family, (d)
medium of instruction, (e) Locality of the school
b. There is no significant difference among higher secondary students in their Thinking styles with
respect to the background variables such as (a) Educational District (b) Community, (c) Religion, (d)
Birth order, (e) Type of school, (f) Nature of school
c. There is no significant association between Thinking styles of higher secondary students with
respect to the background variables such as (a) Family Income(b) Parent’s Education, (c) Parent’s
Occupation
3. PROBLEM SOLVING SKILLS OF THE HIGHER SECONDAY STUDENTS
a. There is no significant difference between higher secondary students in their Problem solving
skills with respect to the background variables such as (a) Gender (b) Locality Residence (c) Type of
family, (d) medium of instruction, (e) Locality of the school
b. There is no significant difference among higher secondary students in their Problem solving skills
with respect to the background variables such as (a) Educational District (b) Community, (c)
Religion, (d) Birth order, (e) Type of school, (f) Nature of school
c. There is no significant association between Problem solving skills of higher secondary students
with respect to the background variables such as (a) Family Income(b) Parent’s Education, (c)
Parent’s Occupation
4. RELATIONSHIP BETWEEN BRAIN DOMINANCE AND THINKING STYLES OF THE
HIGHER SECONDARY STUDENTS
There is no significant relationship between brain dominance and thinking styles of the higher
secondary students with respect to the background variables (a) (a) Educational District (b) Gender
(c) Residence (d) Type of family, (e) Birth order, (f) Community, (g) Religion, (h) Medium of
instruction, (i) Locality of the school (j) Type of school, (k) Nature of school (l) Family Income(m)
Parent’s Education, (n) Parent’s Occupation
5. RELATIONSHIP BETWEEN THINKING STYLES AND PROBLEM SOLVING SKILLS OF
THE HIGHER SECONDARY STUDENTS
There is no significant relationship between thinking styles and problem solving skills of the higher
secondary students with respect to the background variables (a) Educational District (b) Gender (c)
Residence (d) Type of family, (e) Birth order, (f) Community, (g) Religion, (h) Medium of
instruction, (i) Locality of the school (j) Type of school, (k) Nature of school (l) Family Income(m)
Parent’s Education, (n) Parent’s Occupation
6. RELATIONSHIP BETWEEN BRAIN DOMINANCE AND PROBLEM SOLVING SKILLS OF
THE HIGHER SECONDARY STUDENTS
There is no significant relationship between brain dominance and problem solving skills of the
higher secondary students with respect to the background variables (a) Educational District (b)
Gender (c) Residence (d) Type of family, (e) Birth order, (f) Community, (g) Religion, (h) Medium
of instruction, (i) Locality of the school (j) Type of school, (k) Nature of school (l) Family
Income(m) Parent’s Education, (n) Parent’s Occupation
TOOLS PROPOSED TO USE
The following tools will be used for data collection.
1. Brain dominance inventory
2. Thinking styles inventory
3. Problem solving skills
METHOD PROPOSED TO USE
The investigator has proposed to adopt survey method for the present study.
Population for the Study
The population for the study will be the higher secondary students in Tirunelveli District
SAMPLE
The investigator will use stratified random sampling technique for selecting the sample. The
investigator will visit the higher secondary schools in Tirunelveli, Tutuicorin and Kanyakumari
districts for collection of data. The sample will consist of 800 higher secondary students.
STATISTICAL TECHNIQUE PROPOSED TO USE
For analyzing data for following statistical techniques will be used.
1. Mean standard deviation
2. Fixing levels.
3. ANOVA
4. Chi-Square test
5. Critical ration test(t’ test)
6. Pearson product moment co-efficient of correlation and
7. Multiple correlations
LIMITATION FOR THE STUDY
1. The study is limited to the three Educational districts in Tirunelveli District.
2. Only the higher secondary students are taken as the sample.
CHAPTERISATION
Chapter I : Introduction and conceptual frame work
Chapter II : Review of related Literature
Chapter III : Methodology
Chapter IV : Analysis of Data
Chapter V : Findings, Conclusions and Suggestions
Time budgeting
The investigator has proposed the following breakup of the schedule for the completion of the
research work.
a. Collection of literature 5 Months
b. Construction and validation of tools 5 Months
c. Collection of data 5 Months
d. Data analysis 5 Months
e. Chapter writing 5 Months
f. Typing and binding 5 Months
g. Editing and revising 6 Months
Total 36 Months
RELATIONSHIP BETWEEN BRAIN DOMINANCE AND ACADEMIC
ACHIEVEMENT OF HIGHER SECONDARY STUDENTS IN ZOOLOGY
X. VENGO REGIS
INTRODUCTION
If a man of a last century rises to life today he will find it difficult to recognize the
face of the earth. The science and technology has developed by leaps and bounds. Man,
being a social animal finds meaning only in relation with other; at the same time he is a
thinking being. The thinking activity reflects his existence. Thus, by applying his i.e.
dreams and expectations mind on the reality, he is able to effect a vast change in his
living. Differentiated from the animals with his sixth sense, he projects himself as a
supreme creature in the world. In other words, the man exploits god-given brain to the
maximum and makes his living a meaningful one. His brain activity is classified further,
under science into left-brain and right brain. Scientists, after a long research of human
activities, have found out the dominance of brain particularly in the process of education.
Education is a main force which influences the quality of life; it adds new
dimensions to our present and future scenario. It is a tool in the hands of elders towards
the construction of new society. By analyzing the brain dominance of the students and
designing the curriculum to suit the needs of the students we will be able to mould the
young generation as the future citizen of our country. Therefore it is imperative that we
analyze the relationship between brain dominance and academic achievement of higher
secondary students.
BRAIN DOMINANCE AND ACADAMIC ACHIEVEMENT
Brain Dominance
Each person has a dominant side of the brain.Individuals who are predominantly left sides
tend to be more verbal, analytical and problem solvers; while individuals who are
predominantly right sided tend to be artistic, good with mathematics, and more visual in
nature.Brain dominance refers to the extreme use of left or right or whole brain.
Achievement
It refers to performance in given skill or body of knowledge.
SIGNIFICANCE OF THE STUDY
We have a natural tendency towards one way of thinking, two sides of our brain work
together in our everyday lives.The right side of the brain focuses on the visual, and
processes information in an intuitive and simultaneous way, looking first at the whole
picture then the details.The focus of the left brain is verbal, processing information in an
analytical and sequential way, looking first at the pieces then putting them together to get
the whole.Educators must make provisions for individual; differences in learning styles
by providing alternative grouping arrangements, instructional material, time frames and
so on.Instruction for beginning language learners, in particular, should take into account
their need for context-rich, meaningful environments.Individual differences in learning
style may not be a simple matter of personal preference, but rather of individual
differences in the hardwiring of the brain and thus, beyond individual control.Most
people have dominant side of brain.Dominance goes into affect when thinking becomes
increasingly more complex.Although each sides of brain have its own set of in
information processing and thinking.
Achievement in higher secondary is a turning point in an individual life.Therefore brain
dominance and achievement are very closely related.Achievement refers to the
knowledge attained or skills developed inn the school subjects, usually designed by test
scores or by marks assigned by teachers.Achievement of the students depends upon so
many factors.Brain dominance is one of the factors.This factor is in positive, and then
they will lead to good achievement.Therefore this study gives importance to higher
secondary students.So the investigator selected the problem.
OBJECTIVES OF THE STUDY
1. To find out the level of brain dominance and its dimensions of the higher secondary
students in zoology, with reference to background variables.
2. To find out the level of achievement of higher secondary students in zoology with
reference to background variables.
HYPOTHESES OF THE STUDY
<!--[if !supportLists]-->1.<!--[endif]-->To find out the significance difference in
brain dominance and its dimensions of higher secondary students with reference
to nature of management.
<!--[if !supportLists]-->2.<!--[endif]-->To find out the significance difference in
brain dominance and its dimensions of higher secondary students with reference
to medium of instruction.
<!--[if !supportLists]-->3.<!--[endif]-->To find out the significant difference in
achievement of the higher secondary students in zoology with reference to sex.
METHOD OF STUDY
The present investigation was undertaken by using the survey method among higher
secondary students in Cheranmahadevi educational district.Survey method is a procedure
in which data is systematically collected from a population through some from of direct
solicitation such as interview, questionnaire and attitude scales.Survey referees to the
gathering of the data regarding current condition, an academic achievement, the quarterly
examination of the higher secondary students had taken and the scores were statistically
treated to find out the effectiveness.
TOOL USED IN THIS STUDY
The investigation of the present study has chosen the following tool for data collection, that
is, brain dominance inventory tool developed by Evelyn C. Davis, Ed.D.
STATISTICAL TECHNIQUE USED
In this present investigation the following statistical techniques were used.
<!--[if !supportLists]-->1.<!--[endif]-->Measure of central; tendency (Mean)
<!--[if !supportLists]-->2.<!--[endif]-->Measure of variability (Slandered
Deviation)
<!--[if !supportLists]-->3.<!--[endif]-->t test (to be find the level of significance)
<!--[if !supportLists]-->4.<!--[endif]-->ANOVA and
<!--[if !supportLists]-->5.<!--[endif]-->Chi-square
SAMPLE OF THE STUDY
The present study consists of 200 samples which are consists of 112 girls and 88 boys were
taken from pure science and math biology group students in higher secondary.The sample
was taken from Cheranmahadevi educational district which is come under the Tirunelveli
district, TamilNadu, India.
Table. 1
difference between government and private school management students with reference to
brain dominance and its dimensions
DimensionNature of
ManagementMean S.D N df ‘t’ Remark
Right hemisphere (a)Govt. 12.43 3.53 93
198 2.67 SPrivate 11.17 3.09 107
Left hemisphere(b)Govt. 9.75 5.34 93
198 1.30 NSPrivate 8.91 3.50 107
Middle hemisphere (c)Govt. 15.56 4.33 93
198 2.24 SPrivate 5.01 4.80 107
Since, the calculated value of ‘t’ is greater that the table value (1.96) at 5% level for 198
degree of freedom, the Null hypothesis is rejected.
When compare to the mean score of the Government and private school students with
reference to the right hemispheric dominance (a), government school (M=12.43) students
are better than the Private school (M=11.17) students.
When compare to the mean score of the Government and private school students with
reference to the middle hemispheric dominance (c), Private school (M=4.80) students are
better than the Government school (M=4.33) students.
Since, the calculated value of ‘t’ is less than the table value (1.96) at 5% level for
198 degrees of freedom; the hypothesis 1 b is accepted.
TABLE. 2
difference between english medium and tamil medium students with reference to brain
dominance and its dimensions
DimensionMedium of
instructionMean S.D N df ‘t’ Remark
Right hemisphere (a)Tamil 11.33 3.74 15
198 0.46 NSEnglish 11.73 3.33 185
Left hemisphere(b)Tamil 11.00 3.18 15
198 2.06 SEnglish 9.16 4.53 185
Middle hemisphere (c)Tamil 12.00 4.02 15
198 2.31 SEnglish 14.52 4.64 185
Since, the calculated value of‘t’ is greater the table value (1.96) at 5% level for 198 degree of
freedom, the Null hypothesis is rejected.
When compare to mean scores of Tamil and English medium students with reference to left
hemispheric dominance (b), English medium students (M=11.73) are better than the
Tamil medium (M=11.33) students
When compare to mean scores of Tamil and English medium students with reference to
middle hemispheric dominance (c), English medium students (M=14.52) are better than
the Tamil medium (M=12.00) students.
Since, the calculated value of‘t’ is less than the table value (1.96) at 5% level for
198 degrees of freedom, the hypothesis 2 a, is accepted.
Table. 3
difference between 16 year old students and 17 year old students with reference to academic
achievement with respect to age
Variable Category Mean S.D N df t Remark
AGE16 65.24 16.60 75
198 1.52 NS17 68.69 3.67 125
Since, the calculated value of‘t’ is less than table value (1.96) at 5% level for 198
degree of freedom,the Null hypothesis 3 is accepted.
IMPORTANT FINDINGS
1. When compare to the mean score of the Government and private school students
with reference to the right hemispheric dominance (a), government school
(M=12.43) students are better than the Private school (M=11.17) students in their
brain dominance.
When compare to the mean score of the Government and private school
students with reference to the middle hemispheric dominance (c), Private school
(M=4.80) students are better than the Government school (M=4.33) students in
their brain dominance.
2. When compare to mean scores of Tamil and English medium students with
reference to left hemispheric dominance (b), English medium students (M=11.73)
are better than the Tamil medium (M=11.33) students in their brain dominance.
When compare to mean scores of Tamil and English medium students
with reference to middle hemispheric dominance (c), English medium students
(M=14.52) are better than the Tamil medium (M=12.00) students in their brain
dominance.
3. There is no significant difference between 16 and 17 year old students in their
academic achievement.But, when compare to the mean scores, 17 year old student
are better (M=68.69) than 16 year old students (M=65.24)
RECOMMENDATIONS
<!--[if !supportLists]-->1.<!--[endif]-->The teachers can be trained in operating
computer system, so that they could create power point slides and use flash
movie maker for better learning and information gathering.
<!--[if !supportLists]-->2.<!--[endif]-->The teachers can be trained to prepare
learning materials which are whole brain compatible.
<!--[if !supportLists]-->3.<!--[endif]-->The teachers can be given training on ICT
based pedagogy.
<!--[if !supportLists]-->4.<!--[endif]-->The students may be trained use different
styles of learning.
<!--[if !supportLists]-->5.<!--[endif]-->The teachers can use McCarthy’s 4 MAT
models for teaching in Zoology.
<!--[if !supportLists]-->6.<!--[endif]-->The teachers can be given training on
multiple intelligence based teaching.
REFERENCE
<!--[if !supportLists]-->1.<!--[endif]-->Aggarwal, J.C. (2000) “Essential of
educational psychology” Vikas publishing HousePvt. Limited, New Delhi.
<!--[if !supportLists]-->2.<!--[endif]-->Best John W., Kahn, and James (1998)
Research in education.Prentice Hall of India Pvt. Ltd.New Delhi
<!--[if !supportLists]-->3.<!--[endif]-->Dwivedi, R.S. (1997) “Research methods in
Behavioural sciences” Macmillan India limited
<!--[if !supportLists]-->4.<!--[endif]-->Kathleen M Galotti (1999) Cognitive
psychology” an international publishing company
<!--[if !supportLists]-->5.<!--[endif]-->Taschetta, J.J. (1990) “The whole brain
approach in teaching engineering technology” New York.
<!--[if !supportLists]-->6.<!--[endif]-->Gonzales-Mena, Janet (1977) “Right Brain
thinking and Teacher Education.Published by journal articles of opinion papers,
vol.66 page no. 31-46 sep.1982.
<!--[if !supportLists]-->7.<!--[endif]-->Marini, A. Carlomangno, S. (2005) “The
role played by the Right Hemisphere in the organization of complex textual
structures”.Journal of Brain and language vol.93, page no.46-54, April 2005.
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