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7/28/2019 Dr. William Allan Kritsonis, PhD Dissertation Chair, Nasrin Nazemzadeh Social Presence in Online Courses Dissertation Defense PPT.
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Social Presence in Online Courses:An Examination of Perceived Learning
and Satisfaction
A Dissertation Defense
by
Nasrin Nazemzadeh
Dissertation Chair: William Allan Kritsonis, Ph.D.Prairie View A & M University
Educational Leadership
November 2008
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Committee Members Dissertation Chair:
William Allan Kritsonis, Ph.D.
Dissertation Committee:
David Herrington, Ph.D.
Solomon Osho, Ph.D.
Tyrone Tanner, Ph.D
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Dissertation Defense Format What is Social Presence?
Statement of the Problem
Subject of Study
Purpose of the Study
Instrumentation
Research Methodology
Research Questions and Summery of Findings
Null Hypotheses Tables
Conclusions
Recommendations
Recommendations for Further Study
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Social Presence According to Short (1976), the degree to which a person is perceived as “real” in mediated
communication.
Characteristics:
1. Interactivity
Short, Williams & Christie (1976), Interaction between instructors
and students, & among students
2. Mediated Communication
Those communications that occur via computer mediated (i.e., discussion board, e-mail
and chat rooms) between two or more individuals
3. Immediacy
Anderson (1979), Those nonverbal behaviors that reduce physicaland/or psychological distance between teachers and students
4. Reciprocal Awareness
Rafaeli (1998), Not only the presence of interactivity but also a recognition and
awareness of the interactivity by participants
5. Connectedness
Rovai (2001), Sense of involvement and engagement
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Statement of The Problem Online education is the fastest growing segment of the
higher education industry. This growth is global. Spague
(2007) projects that enrollment in distance-teachinginstitutions will grow to 120 million by the year 2025.Two year colleges have recognized the importance of online education to their long term growth strategiesmore than other types of institutions. Therefore, it isimportant to investigate if this growth will compoundthe educational deficits that have been documented intraditional education.
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Subjects of the Study
The study was conducted on students
enrolled in online courses in theDepartment of Business and Technology
at Lone Star College-Tomball in
Tomball, Texas. The results of the studymay be generalized to the population of
students at Lone Star College-Tomball.
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Purpose of the Study
The purpose of the study is to examine the role of
social presence in online courses at a community
college. Specifically, the study examines therelationship of social presence in online courses to
students‟ perceived learning and satisfaction with
their educational experience. The result of thisstudy will help educational leaders to utilize more
effectively the online instruction.
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Instrumentation
After careful analysis of several developed
instruments, a modified instrument consistingof 48 questions was selected. This minimized
the need for validation. The first 42 questions
are multiple-choice, and the last six requirewritten responses.
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Instrumentation The instrument was placed with Wonder Survey
Inc. Students logged on to the Wonder Survey web
site where they directly answered the questionsand submitted the results electronically to Wonder
Survey. A total of 150 students, 52.1% of the
invited students completed the survey. Wonder Survey tabulated the responses and provided the
results. The questions and the choices were
relabeled for convenience.
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Research Methodology
Data-Analytic Methods used:
1. Descriptive Statistics 2. ANOVA
3. Multiple Regression Analysis
4. Logit Analysis of Binary Dependent VariableModels.
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Research Question # 1 and
Summary of Findings Does the online learning experience contribute to
feelings of isolation among students?
My research shows that 32% of the respondents indicatedthat they felt isolated. This proportion is significantly
different from zero as evidenced from a t-stat = 8.4, and
its P-value = 0.000. Moreover, the greater the prevalence
of these feelings, the less satisfied students typically are,
and the less they perceive to learn.
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Research Question # 2 and
Summary of Findings
What factors influence student satisfaction in online classes?
Listed in table 9
Instructor‟s social presence
The extent to which students feel they are part of a group, and Effective communication with the instructor and with other
students
Factors that detract from it are:
Feeling threatened,
Feeling isolated, and
Missing not seeing and hearing the instructor
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Research Question # 3 and
Summary of Findings
Is the online learning experience detrimental to students‟
motivation? The related item in the instrument reads: The
online course stimulated my desire to learn. According to my research, overall, 66% agreed with the
statement and 34% disagreed. The proportion that
disagreed is significantly different from zero, t-stat = 8.76,
probability value = 0.000. A significant proportion of
students report that the online course did not stimulate
their desire to learn.
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Research Question # 4 and
Summary of Findings
What factors influence learning outcomes? According to my
research:
Feeling part of a group Being able to communicate with other students and with the
instructor
Learning about the instructor
Feeling isolated
Feeling threatened
Missing not seeing and hearing the instructor
The motivation to participate.
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Research Question # 5 and
Summary of Findings
Is perceived learning related to social presence?
The evidence in Tables 11 and 12 shows that a
statistically significant proportion of thosereporting decreased learning, missed not seeingand hearing the instructor, reported decreasedquantity and quality of interaction with theinstructor and with students, expressed feelings of isolation, were less motivated to learn, and learnedless about the instructor. All of the above are
components of the larger picture of social presence.
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Research Question # 6 and
Summary of Findings
What are the perceived strengths and weaknesses of online education?
The main perceived strength is flexibility: Ninety-four % of the respondents in
this study indicated that they took the online course because it allowed more
flexibility in time management. Consistent with this finding, the overwhelming
majority of respondents indicated that they are willing to take another online
course.
Weaknesses: The results also indicate that the respondents missed not seeing and
hearing the instructor, felt isolated and threatened, were less motivated to learn,
were less satisfied with the educational experience, reported that the amount
learned decreased, their motivation to participate decreased, the amount and
quality of interaction with the instructor and students decreased, and the online
course did not provide an educational experience similar to the classroom .
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Null Hypotheses
H01. There is no statistically significant difference
between the personal experience of the online
course and that of the classroom. (Rejected).
H02. There is no statistically significant
relationship between labor force activity as
measured by average weekly hours of work, and
the decision to enroll in online courses. (Not
Rejected)
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Ho2. There is no statistically significant relationship between labor force
activity, as measured by average weekly hours of work, and the decision to
enroll in online courses (Not Rejected).
Table 4
________________________________________________
Hours/Week Percent of Respondents t-Stat P-value _________________________________________________
1-10 18.7 -1.12 0.26
11-20 14.0 -2.22 0.03
21-30 10.7 -3.09 0.00
31-40 32.7 1.66 0.1Over 40 24.0
The decision to enroll in online classes is not systematically
related to hours worked per week.
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Does the decision to take another online course depend
on labor force activity? Answer: No
Table 5
_______________________________________________
Hours/Wk Percent of respondents willing t-Stat P-valueto take another online course
__________________________________________________
1-10 89 -0.75 .46
11-20 95 0.11 .92
21-30 94 -0.08 .93
31-40 90 -0.77 .44
Over 40 94
The difference in means is not statistically significant at .05 and.01 level.
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Null Hypotheses
H03. There is no statistically significant
relationship between commuting time to
school and the decision to enroll in online
courses (Not Rejected).
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H03. There is no statistically significant relationship
between commuting time to school and the decision to
enroll in online courses (Not Rejected).
Table 6
___________________________________________________________ _
Commuting Time Percent of
(minutes) Respondents ___________________________________________________________ _
0-15 44
16-30 30.7
31-45 17.3
46-60 5.3
Over 60 2.7
Contrary to expectations, commuting time does not systematically relate to thedecision to enroll online. Evidently, 74% percent of the students live within ashort distance from the school.
Commuting time and the willingness to take
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Commuting time and the willingness to takeanother online course (No Relationship is
Found).
Table 7
____________________________________________________________________
Commuting Time Percent of respondents willing t-Stat P-value
(minutes) to take another online course
________________________________________________________________
0-15 95 -0.33 .74
16-30 96 -0.32 .74
31-45 73 -1.91 .06
46-60 100 0.00 1
Over 60 100
There is no statistically significant relationship between commuting time and thewillingness to take another online course.
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Explaining the decision to enroll in
online courses
Table 8.
__________________________________________________________________
Took the online course primarily because it allowed me more flexibility in managing mytime and schedule
________________________________________________________________
Strongly agree 64%
Agree 30%
Strongly disagree 0.7%
Disagree 5%
The overriding motivation for taking online courses is flexibility in managing time. Ninety-four percent of respondents say so.
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Null Hypotheses
H04. There is no statistically significant
relationship between student satisfaction with
the educational experience and the
instructor‟s social presence (Rejected).
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H04. There is no statistically significant relationship betweenstudent satisfaction with the educational experience and theinstructor‟s social presence (Rejected, t-stat = -4.43).
Modeling Satisfaction with the Educational Experience by Logit
The estimation sample is 1 – 150.
_______________________________________________________
Coefficient Std.Error t-value t-prob
Constant 1.35239 0.2897 4.67 0.000
miss -1.64007 0.3701 -4.43 0.000
log-likelihood -89.6610156 no. of states 2
no. of observations 150 no. of parameters 2 ______________________________________________________
The dependent variable equals one if the respondent selected excellent, verygood, or good and equals zero otherwise. The independent variable, „miss‟equals one if respondents strongly agreed or agreed that they missed not seeing
and hearing the instructor. The t-stat of the coefficient is negative and highlysi nificant thus decisivel re ectin the null h othesis.
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H04. There is no statistically significant relationship between student
satisfaction with the educational experience and the instructor‟s
social presence (Rejected, t-stat = 2.82).
Modeling Satisfaction with the Educational Experience by Logit
The estimation sample is 1 – 150
___________________________________________________________
Coefficient Std.Error t-value t-prob
Constant 2.37308e-016 0.2236 0.00 1.000
ins 0.987387 0.3496 2.82 0.005
log-likelihood -96.3789935 no. of states 2
no. of observations 150 no. of parameters 2
___________________________________________________________
The dependent variable equals one if the respondent selected excellent, verygood, or good and equals zero otherwise. The independent variable, „ins‟equals one if respondents strongly agreed or agreed that they learned a greatdeal about the instructor. The t-stat of the coefficient is positive and highlysignificant, thus decisively rejecting the null hypothesis.
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H04. There is no statistically significant relationship
between student satisfaction with the educational
experience and the social presence (Rejected, t= 3.67).
Modeling Satisfaction with the Educational Experience by Logit
The estimation sample is 1 – 150
______________________________________________________________________
Coefficient Std.Error t-value t-probConstant -0.374693 0.2770 -1.35 0.178
group 1.31296 0.3581 3.67 0.000
log-likelihood -93.5351378 no. of states 2
no. of observations 150 no. of parameters 2
___________________________________________________________
The dependent variable equals one if the respondent selected excellent, very good, or goodand equals zero otherwise. The independent variable, „group‟ equals one if respondentsstrongly agreed or agreed that even though they were not physically in a traditional classroomthey still felt that they were part of a group. The t-stat of the coefficient is positive and highlysignificant, thus decisively rejecting the null hypothesis.
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H05. There is no statistical evidence that students
feel isolated by the online experience (Rejected t =
-4.52).
Modeling Satisfaction with Educational Experience by Logit
The estimation sample is 1 – 150
_______________________________________________________
Coefficient Std.Error t-value t-prob
Constant 1.02165 0.2244 4.55 0.000
isol -1.71480 0.3796 -4.52 0.000
log-likelihood -89.5007031 no. of states 2
no. of observations 150 no. of parameters 2
_________________________________________________________ The dependent variable equals one if the respondent selected
excellent, very good, or good and equals zero otherwise. Theindependent variable, „isol‟ equals one if respondents strongly agreedwith feelings of isolation while taking an online course. The t-stat of
the coefficient is negative and highly significant, thus decisivelyre ectin the null h othesis.
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Null Hypotheses
H05. There is no statistical evidence that students
feel isolated by the online experience (Rejected).
H06. There is no statistical evidence that students
find the online medium to be a poor way to
communicate with the instructor (Rejected).
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Null Hypotheses
H07. There is no statistical evidence thatstudents find the online medium to be
threatening (Rejected).
H08. There is no statistically significantrelationship between perceived learning and
social presence in online education(Rejected).
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Table 9. Focuses on Perceived Satisfaction
with the Educational Experience in Relation to
Social Presence
Table 9 shows descriptive statistics (means),
i.e., the percent of students who rated their overall educational experience in the online
course in relation to social presence and
perceived satisfaction. Twenty-twoquestions from the instrument were selected
for this purpose.
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Table 9. Description
1. Students rated their overall educational experience intaking an online course as follows: Excellent (17%), VeryGood (19%), Good (24%), Satisfactory (31%), and Poor (8%).
Question 1, column 2 shows that 50% of the students whorated their educational experience as excellent agreed withthe statement “Learned a great deal about the instructor.” As
we move to the right we find the following numbers: 66, 52,40, and 0.
We observe a tendency for the proportion of students wholearned a great deal about the instructor, to decrease as their
perception of the educational experience worsens.
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Table 10. Description
1. The difference between each group mean andthose who rated their experience as poor, the benchmark group, is examined and t-stats and p-values were calculated in order to test the nullhypothesis that the difference in group means iszero.
2. In question 1 (Learned a great deal about theinstructor), the t-stats shown in columns 2, 3, 4 &5, are significant, indicating that we reject thenull hypothesis that the difference in each group
mean relative to poor raters is zero.
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Table 10:Results
The main characteristics that distinguish the poor raters from the other four groups are as follows:
Students tend to feel threatened Students tend to feel isolated
They miss not seeing and hearing the instructor
They do not feel part of group
They are less motivated to participate and to learn, and in fact theyreport decreased learning
They see the online educational experience as very different from thatof the classroom
Finally, they were much less likely to enjoy the online course.
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Table 11. Focuses on Perceived Learning
in Relation to Social Presence
Table 11 shows descriptive statistics (means),
i.e., the percent of students who rated theamount learned in the online course in
relation to social presence. Nineteen
questions from the instrument were selectedfor this purpose.
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Table 11
Students rated the amount they learned in the online courseas follows: Increased (29%), Increased Somewhat (10%),
No Change (38%), Decreased Somewhat (16%), and
Decreased (7%). Column 2 shows that of those students indicating that the
amount learned increased, only 37% missed the instructor‟s presence, as compared to 63% of those reporting that theamount learned decreased somewhat (column 5), and 100%
of those who indicated that the amount learned decreased(column 6).
We observe an inverse relationship between perceivedlearning and social presence; specifically, as perceived
learning decreases, a larger percentage of students missedthe instructor‟s resence.
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Table 12
1. The difference between each group mean andthose who said that the amount learned decreased,
the benchmark group, is examined and t-stats and p-values were calculated in order to test whether thedifference in means is statistically significant.
2. In question 1 (Learned a great deal about theinstructor), columns 2, 3, 4 & 5, the t-stats aresignificant, indicating that we reject the nullhypothesis that the difference in each group mean
relative to the benchmark group is zero.
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Table 12: Results
The main characteristics that distinguish the “leastlearners” from the other four groups are as follows:
Students tend to feel threatened
Students tend to feel isolated
They missed not seeing and hearing the instructor
They do not feel part of group
Are less motivated to participate and to learn
The online educational experience is very different
from that of the classroom.
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Overall Results
The results in tables 11 & 12 confirm those
reported in tables 9 and 10, and providestatistically significant evidence that
educational outcomes are adversely affected
by a diminution of social presence in onlineclasses.
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Conclusions
This work shows that in a statistically significant proportion of online students:
The motivation to learn decreases
Tend to feel isolated
Tend to be threatened
Miss not seeing and hearing the instructor
Find the online medium to be a poor way to communicate
and interact with others, and In fact, the report shows a decrease in perceived learning.
All of the above underscore the importance of social presence in online education. This is an important issue
that educational leaders should take into account.
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Recommendations
1. Training classes to prepare instructors to design quality online courses
2. Alerting students about the negative aspects of online learning and how toovercome them
3. Pre-testing students to determine if they are ready to tackle online courses
4. Instructors should encourage students to interact with others by assigning group projects, case studies and discussion questions via chat-room and discussion board
5. Instructors must have an active participation rule in classes in a way that studentsfeel the instructor‟s social presence
Informal gathering of instructors with students or among students
6. Use streaming videos to make sure the students feel the instructor‟s social presence
7/28/2019 Dr. William Allan Kritsonis, PhD Dissertation Chair, Nasrin Nazemzadeh Social Presence in Online Courses Dissertation Defense PPT.
http://slidepdf.com/reader/full/dr-william-allan-kritsonis-phd-dissertation-chair-nasrin-nazemzadeh-social 42/42
Recommendations for Further Study
1. A study could be conducted to include a larger sample of students in the Lone Star College System in order to determinethe extent to which the results generalize to students in other departments besides Business and Technology, and in other
locations 2. A study could be conducted to include undergraduate
students at the university level in order to ascertain if the resultsgeneralize to a larger cross section of students including juniorsand seniors.
3. A study could be conducted to include graduate students atthe university level in order to ascertain if the results generalizeto them as well.