Year 2018,
Volume: 19 Issue: 1, 163 - 182, 01.01.2018
Ozlem Cakır
,
Tugra Karademır
,
Funda Erdogdu
References
- Althaus, S. L. (1997). Computer-mediated communication in the university classroom: An
experiment with on-line discussions. Communication Education, 46(3), 158–174.
Arbaugh, J. B. 2000. How classroom environment and student engagement affect learning in
Internet-based MBA courses. Business Communication Quarterly, 63 (4), 9–26.
Artino, A.R. (2008). Motivational beliefs and perceptions of instructional quality: predicting
satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260–
270.
Balaban-Sali, J. (2008). Designing motivational learning systems in distance education. Turkish
Online Journal of Distance Education, 9(3), 149-161.
Bambara, C. S., Harbour, C. P., Davies, T. G., & Athey, S. (2009). Delicate engagement: The lived
experience of community college students enrolled in high-risk online courses.
Community College Review, 36(3), 219-238.
Battalio, J. (2007). Interaction online: A reevaluation. Quarterly Review of Distance Education,
8(4), 339-352.
Belcheir, M., & Cucek, M. (2002). Faculty perceptions of teaching distance education courses.
Research Report: 2002. Boise, ID: Boise State University. (ERIC Document
Reproduction Service No. ED 480925).
Bourne, J. and Moore, J. C. (2003). Elements of quality online education: into the mainstream.
Elements of Quality Online Education: Into the Mainstream. Edited by John Bourne and
Janet C. Moore. Volume 5 in the Sloan-C Series.
Bouhnik, D. & Marcus, T. (2006). Interaction in distance-learningcourses. Journal of The
American Society Information Science and Technology, 57(3), 299–305.
Brinkerhoff, J. & Koroghlanian, C.M. (2005). Student computer skills and attitudes toward
internet-delivered instruction: An assessment of stability over time and place. Journal
of Educational Computing Research, 32, 27–56.
Brophy, J. E. (2010). Motivating students to learn (3rd ed.). New York: Routledge.
Bork, R. H. & Z. Rucks-Ahidiana. (2013). Role ambiguity in online courses: An analysis of
student and instructor expectations (CCRC Working Paper No. 64). New York:
Columbia University, Teachers College, Community College Research Center. Retrieved
September 10, 2016 from https://ccrc.tc.columbia.edu/media/k2/ attachments/roleambiguity-in-online-courses.pdf
Buyukozturk, S., Akgun, O. E., Ozkahveci, O., Demirel, F. (2004). Gudulenme ve ogrenme
stratejileri olceginin Turkce formunun gecerlik ve guvenirlik calismasi [The Validity and
Reliability Study of the Turkish Version of the Motivated Strategies for Learning
Questionnaire]. Kuram ve Uygulamada Egitim Bilimleri, 4(2), 207-239.
Buyukozturk, S. (2009). Sosyal bilimler icin veri analizi el kitabı [The handbook of data analysis
for social sciences]. (10.Baski). Ankara: Pegem Akademi.
Cakir, O. (2012). The development of online students’ satisfaction scale. Energy Education
Science and Technology Part B: Social and Educational Studies, Special Issue-1, 4(5):
947-950.
Cakir, O. (2014). The Factors that Affect Online Learners’ Satisfaction. Anthropologist, 17(3):
895-902.
Chaiprasurt, C. & Esichaikul, V. (2013). Enhancing motivation in online courses with mobile
communication tool support: a comparative study. The International Review of
Research in Open and Distance Learning, 14, 377-401.
Chang, S.C. and Tung, F.C. (2008). An empirical investigation of students’ behavioural intentions
to use the online learning course websites. British Journal of Educational Technology,
39 (1),71–83.
180
Chu, R. J. & Chu, A. Z. (2010). Multi-level analysis of peer support, Internet self-efficacy and elearning
outcomes: The contextual effects of collectivism and group potency. Computer
& Education, 55, 145-154.
Cornell, R. ve Martin, B. L. (1997). The role of motivation in web-based instruction. (Ed. Badrul
H.Khan) Web-Based Instruction. New Jersey. USA: Educational Technology
Publications.
Cookson, P. S. (1989). Research on learners and learning in distance education. The American
Journal of Distance Education, 2 (1), 22-34.
Creswell J. W. (2013). Qualitative inquiry and research design: Choosing among five
approaches. Thousand Oaks, CA: Sage.
Dick, W., Carey, L. & Carey, J.O. (2005). The Systematic Design Of Instruction. Boston, MA:
Pearson/Allyn and Bacon.
Distance learning, (2016). In encyclopedia Britannica. Retrieved October 15, 2016 from
http://global.britannica.com/topic/distance-learning
Drennan, J., Kennedy, J. & Pisarski, A. (2005). Factors Affecting Student Attitudes Toward
Flexible Online Learning in Management Education. Journal of Educational Research,
98 (6), 331-338.
Eastin, M.S. & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide.
Journal of Computer Mediated Communication, 6 (1).
El Mansour, B., and D. M. Mupinga. 2007. Students’ positive and negative experiences in hybrid
and online classes. College Student Journal, 41 (1), 242–248.
Field, A. (2005). Discovering statistics using SPSS (2nd ed.). London: Sage.
Giesbers, B., Rienties, B., Tempelaar, D. T., & Gijselaers, W. H. (2013). Investigating the
relations between motivation, tool use, participation, and performance in an E-learning
course using web-videoconferencing. Computers in Human Behavior, 29(1), 285–292.
Gaddis, B., Napierkowsk, H., Guzman, N., & Muth, R. (2000). A comparison of collaborative
learning and audience awareness in two computers-mediated writing environments.
Association for Educational Communications and Technology, 140-147. Retrieved
January 05, 2016 from http://files.eric.ed.gov/fulltext/ED455771.pdf
Garrison, D. (1990). An analysisandevaluation of audio teleconferencing to facilitate education
at a distance. AmericanJournal of DistanceEducation, 4(3), 13-24.
Gujarati, D.N. (1995). Basic Econometrics, 3rd Edition. New York: McGraw-Hill. ISBN 0-07-
025214-9.
Hannafin, J. J., & Cole, D. D. (1983). An analysis of why students select introductory high school
computer coursework. Educational Technology, 23(4), 26–29.
Harandi, S.R. (2015). Effects of e-learning on students' motivation. 3rd International
Conference on Leadership, Technology and Innovation Management. Procedia-Social
and Behavioral Sciences, 181, 423-430.
Hong, K. S. (2002). Relationships between students’ and instructional variables with
satisfaction and learning from a Web-based course. Internet and Higher Education, 5,
267–281.
Ilgaz, H. (2008). Uzaktan Egitimde Teknoloji Kabulunun ve Topluluk Hissinin Ogrenen
Memnuniyetine Katkısı [The Contribution Of Technology Acceptance and Communıty
Feeling To Learner Satisfaction In Distance Education]. (Master's dissertation)
Hacettepe University Graduate School of Science, Ankara, Turkey. Available from the
Council of Higher Education, National Dissertation Center, Dissertation ID: 244862.
Jeamu, L., Kim, Y., & Lee, Y. (2008). A web-based program to motivate underachievers learning
number sense. International Journal of Instructional Media, 35(2), 185-194.
Jones, P., Packham, G., Miller, C., & Jones, A. (2004). An initial evaluation of student
withdrawals within an elearning environment: The case of e-college Wales. Electronic
Journal on e-Learning, 2 (1), 113-120.
181
Karatas, S. ve Ustundag, M.T. (2008). Gazi Universitesi Uzaktan Egitim Programi Ogrencilerinin
Internet Temelli Uzaktan Egitim Doyumlari ile Demografik Ozellikleri Arasindaki Iliski
[The Relationship between Students’ Internet-Based Distance Education Satisfactions
and Demographical Properties in Gazi University Distance Education Program].
Yuzuncu Yıl Universitesi, Egitim Fakultesi Dergisi, V(II), 62-73.
Kesim, E. (2015). The Importance of Distance Education Experts in the Organizational
Development Process of Distance Education Institutions: A Theoretical Evaluation. In.
G. Eby & T.V. Yuzer (Eds.), Identification, Evaluation and Perceptions of Distance
Education Experts (pp.73-88). Hershey, PA.: Information Science Reference.
Kransow, J. (2013). Faculty leadership in online education: Structuring courses to impact
student satisfaction and persistence. MERLOT Journal of Online Learning and Teaching,
9(1), 131–139.
Jaggards, S. S. (2014). Choosing Between Online and Face-to-Face Courses: Community College
Student Voices. American Journal of Distance Education, 28(1).
Mertler, C. A., & Vannatta, R. A. (2005). Multiple regression. In Advanced and multivariate
statistical methods (Third ed). Glendale, CA: Pyrczak Publishing.
Kaupp, R. (2012). Online penalty: The impact of online instruction on the Latino-White
achievement gap. Journal of Applied Research in the Community College, 12(2), 1–9.
Keller, J. M. and Suzuki, K. 2004. Learner motivation and e-learning design: A multinationally
validated process. Journal of Educational Media, 29(3): 229–239.
Kitchen, D., & McDougall, D. (1998). Collaborative learning on the Internet. Journal of
Educational Technology Systems, 27(3), 245.
Kranzow, J. (2013). Faculty leadership in online education: Structuring courses to impact
student satisfaction and persistence. MERLOT Journal of Online Learning and Teaching,
9(1), 131-139.
Kuo, Y.C, Walker, A.E., Belland, B.R & Schroder, K.E.E. (2013). A Predictive Study of Student
Satisfaction in Online Education Programs. International Review of Reseach in Open
and Distance Learning, 14(1), 16-39.
Liaw, S.S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and
effectiveness of e-learning: A case study of the Blackboard system. Computers &
Education, 51, 864–873.
Lim, C. K. (2001). Computer self-efficacy, academic self-concept, and other predictors of
satisfaction and future participation of adult distance learners. American Journal of
Distance Education, 15(2), 41-51.
Martin, A.J. (2001). The Student Motivation Scale: A Tool for Measuring and Enhancing
Motivation. Australian Journal of Guidance and Counseling, 11, 1-20.
Mitchell, T. J. F., Chen, S. Y., & Macredie, R. D. (2005). The relationship between web enjoyment
and student perceptions and learning using a web-based tutorial. Learning, Media and
Technology, 30 (1), 27-40.
Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic
study. Distance Education, 26(1), 29-48.
Moore, M. G. & Kearsley, G. (1996). Distance education a systems view (Belmont, CA,
Wadsworth Publishing Co.).
Morris, L. V., Finnegan, C., & Wu, S. (2005). Tracking student behavior, persistence, and
achievement in online courses. The Internet and Higher Education, 8(3), 221−231.
Palmer, S. R. & Holt, D. M. (2009). Examining Student Satisfaction with Wholly Online Learning.
Journal of Computer Assisted Learning, 25 (2), 101-113.
Pintrich, PR., Smith, D., Garcia, T. & McKeachie, WJ. (1993). Reliability and predictive validity of
the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and
Psychological Measurement. 53, 801-13.
182
Rattan, A., Good, C., Dweck, C. (2012), “It’s OK- Not everyone can be good at math”: Instructors
with an entity theory comfort (and demotivate) students. Journal of Experimental
Social Psychology, 48, 731-737.
Sahin, I. (2007). Predicting student satisfaction in distance education and learning
environments. Turkish Online Journal of Distance Education, 8(2). 113-119.
Sahin, I. & Shelley, M. (2008). Considering Students’ Perceptions: The Distance Education
Student Satisfaction Model. Educational Technology &Society, 11(3), 216–223.
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learning in nursing. Computers in Nursing, 18(1), 19-25.
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An empirical investigation of the critical factors influencing learner
satisfaction. Computers & Education, 50 (4), 1183–1202.
Simsek, N. (2012). Uzaktan egitimde kalite gostergeleri ve teknoloji temelli uzaktan egitimin bu
gostergeler acisindan degerlendirilmesi [Quality Indicators in Distant Education and
the Assessment of Technology-Based Distant Education according to These Indicators].
Egitim Bilimleri ve Uygulama, 11 (21), 1-24.
Strachota, E.M. (2003). Student satisfaction in online courses: An analysis of the impact of
learner-content, learner-instructor, learner-learner and learner-teacher interaction.
Dissertation Abstracts International, 64 (8), 2746. Key: citeulike: 1029163.
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Psychological Variables of Estimating Distance Learners' Motivation
Year 2018,
Volume: 19 Issue: 1, 163 - 182, 01.01.2018
Ozlem Cakır
,
Tugra Karademır
,
Funda Erdogdu
Abstract
The correlation between distance education motivation levels of students and their online experiences and satisfaction is studied in this paper; and the reasons of their satisfaction and dissatisfaction according to their motivation levels are described. In this study, 183 students, who were taking English and Turkish courses at Ankara University between 2013-2014 academic year through distance education participated. The study which was designed in the form of sequential mixed method research design, “Motivation and Learning Strategies Inventory” and “Online Student Satisfaction Scale” were utilized to collect data and structured interview forms that were developed by the researchers and they were also used to determine students’ online learning experiences and their satisfaction levels about distance education. Three motivation levels as low- medium-level- high were identified by clustering analysis. Logistic regression analysis was performed to evaluate motivation levels and satisfaction data and content analysis was applied to evaluate the reasons behind their satisfaction. A significant correlation was found between the students’ motivation levels and their online learning experiences and satisfaction. When it comes to the reasons of their satisfaction and dissatisfaction, the students who have low and medium-level motivation levels said that their dissatisfaction was due to lack of interaction and negative perceptions and their dependence on conventional education. On the other hand, the students who have high motivation stated that their satisfaction was because it is free from time and space, suitable for reviews, provides effective learning and meets the requirements of this age. The students who were not satisfied in three different motivation levels mentioned the problems of internet access and lack of synchronization between the picture and the sound in the videos.
References
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experiment with on-line discussions. Communication Education, 46(3), 158–174.
Arbaugh, J. B. 2000. How classroom environment and student engagement affect learning in
Internet-based MBA courses. Business Communication Quarterly, 63 (4), 9–26.
Artino, A.R. (2008). Motivational beliefs and perceptions of instructional quality: predicting
satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260–
270.
Balaban-Sali, J. (2008). Designing motivational learning systems in distance education. Turkish
Online Journal of Distance Education, 9(3), 149-161.
Bambara, C. S., Harbour, C. P., Davies, T. G., & Athey, S. (2009). Delicate engagement: The lived
experience of community college students enrolled in high-risk online courses.
Community College Review, 36(3), 219-238.
Battalio, J. (2007). Interaction online: A reevaluation. Quarterly Review of Distance Education,
8(4), 339-352.
Belcheir, M., & Cucek, M. (2002). Faculty perceptions of teaching distance education courses.
Research Report: 2002. Boise, ID: Boise State University. (ERIC Document
Reproduction Service No. ED 480925).
Bourne, J. and Moore, J. C. (2003). Elements of quality online education: into the mainstream.
Elements of Quality Online Education: Into the Mainstream. Edited by John Bourne and
Janet C. Moore. Volume 5 in the Sloan-C Series.
Bouhnik, D. & Marcus, T. (2006). Interaction in distance-learningcourses. Journal of The
American Society Information Science and Technology, 57(3), 299–305.
Brinkerhoff, J. & Koroghlanian, C.M. (2005). Student computer skills and attitudes toward
internet-delivered instruction: An assessment of stability over time and place. Journal
of Educational Computing Research, 32, 27–56.
Brophy, J. E. (2010). Motivating students to learn (3rd ed.). New York: Routledge.
Bork, R. H. & Z. Rucks-Ahidiana. (2013). Role ambiguity in online courses: An analysis of
student and instructor expectations (CCRC Working Paper No. 64). New York:
Columbia University, Teachers College, Community College Research Center. Retrieved
September 10, 2016 from https://ccrc.tc.columbia.edu/media/k2/ attachments/roleambiguity-in-online-courses.pdf
Buyukozturk, S., Akgun, O. E., Ozkahveci, O., Demirel, F. (2004). Gudulenme ve ogrenme
stratejileri olceginin Turkce formunun gecerlik ve guvenirlik calismasi [The Validity and
Reliability Study of the Turkish Version of the Motivated Strategies for Learning
Questionnaire]. Kuram ve Uygulamada Egitim Bilimleri, 4(2), 207-239.
Buyukozturk, S. (2009). Sosyal bilimler icin veri analizi el kitabı [The handbook of data analysis
for social sciences]. (10.Baski). Ankara: Pegem Akademi.
Cakir, O. (2012). The development of online students’ satisfaction scale. Energy Education
Science and Technology Part B: Social and Educational Studies, Special Issue-1, 4(5):
947-950.
Cakir, O. (2014). The Factors that Affect Online Learners’ Satisfaction. Anthropologist, 17(3):
895-902.
Chaiprasurt, C. & Esichaikul, V. (2013). Enhancing motivation in online courses with mobile
communication tool support: a comparative study. The International Review of
Research in Open and Distance Learning, 14, 377-401.
Chang, S.C. and Tung, F.C. (2008). An empirical investigation of students’ behavioural intentions
to use the online learning course websites. British Journal of Educational Technology,
39 (1),71–83.
180
Chu, R. J. & Chu, A. Z. (2010). Multi-level analysis of peer support, Internet self-efficacy and elearning
outcomes: The contextual effects of collectivism and group potency. Computer
& Education, 55, 145-154.
Cornell, R. ve Martin, B. L. (1997). The role of motivation in web-based instruction. (Ed. Badrul
H.Khan) Web-Based Instruction. New Jersey. USA: Educational Technology
Publications.
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Journal of Distance Education, 2 (1), 22-34.
Creswell J. W. (2013). Qualitative inquiry and research design: Choosing among five
approaches. Thousand Oaks, CA: Sage.
Dick, W., Carey, L. & Carey, J.O. (2005). The Systematic Design Of Instruction. Boston, MA:
Pearson/Allyn and Bacon.
Distance learning, (2016). In encyclopedia Britannica. Retrieved October 15, 2016 from
http://global.britannica.com/topic/distance-learning
Drennan, J., Kennedy, J. & Pisarski, A. (2005). Factors Affecting Student Attitudes Toward
Flexible Online Learning in Management Education. Journal of Educational Research,
98 (6), 331-338.
Eastin, M.S. & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide.
Journal of Computer Mediated Communication, 6 (1).
El Mansour, B., and D. M. Mupinga. 2007. Students’ positive and negative experiences in hybrid
and online classes. College Student Journal, 41 (1), 242–248.
Field, A. (2005). Discovering statistics using SPSS (2nd ed.). London: Sage.
Giesbers, B., Rienties, B., Tempelaar, D. T., & Gijselaers, W. H. (2013). Investigating the
relations between motivation, tool use, participation, and performance in an E-learning
course using web-videoconferencing. Computers in Human Behavior, 29(1), 285–292.
Gaddis, B., Napierkowsk, H., Guzman, N., & Muth, R. (2000). A comparison of collaborative
learning and audience awareness in two computers-mediated writing environments.
Association for Educational Communications and Technology, 140-147. Retrieved
January 05, 2016 from http://files.eric.ed.gov/fulltext/ED455771.pdf
Garrison, D. (1990). An analysisandevaluation of audio teleconferencing to facilitate education
at a distance. AmericanJournal of DistanceEducation, 4(3), 13-24.
Gujarati, D.N. (1995). Basic Econometrics, 3rd Edition. New York: McGraw-Hill. ISBN 0-07-
025214-9.
Hannafin, J. J., & Cole, D. D. (1983). An analysis of why students select introductory high school
computer coursework. Educational Technology, 23(4), 26–29.
Harandi, S.R. (2015). Effects of e-learning on students' motivation. 3rd International
Conference on Leadership, Technology and Innovation Management. Procedia-Social
and Behavioral Sciences, 181, 423-430.
Hong, K. S. (2002). Relationships between students’ and instructional variables with
satisfaction and learning from a Web-based course. Internet and Higher Education, 5,
267–281.
Ilgaz, H. (2008). Uzaktan Egitimde Teknoloji Kabulunun ve Topluluk Hissinin Ogrenen
Memnuniyetine Katkısı [The Contribution Of Technology Acceptance and Communıty
Feeling To Learner Satisfaction In Distance Education]. (Master's dissertation)
Hacettepe University Graduate School of Science, Ankara, Turkey. Available from the
Council of Higher Education, National Dissertation Center, Dissertation ID: 244862.
Jeamu, L., Kim, Y., & Lee, Y. (2008). A web-based program to motivate underachievers learning
number sense. International Journal of Instructional Media, 35(2), 185-194.
Jones, P., Packham, G., Miller, C., & Jones, A. (2004). An initial evaluation of student
withdrawals within an elearning environment: The case of e-college Wales. Electronic
Journal on e-Learning, 2 (1), 113-120.
181
Karatas, S. ve Ustundag, M.T. (2008). Gazi Universitesi Uzaktan Egitim Programi Ogrencilerinin
Internet Temelli Uzaktan Egitim Doyumlari ile Demografik Ozellikleri Arasindaki Iliski
[The Relationship between Students’ Internet-Based Distance Education Satisfactions
and Demographical Properties in Gazi University Distance Education Program].
Yuzuncu Yıl Universitesi, Egitim Fakultesi Dergisi, V(II), 62-73.
Kesim, E. (2015). The Importance of Distance Education Experts in the Organizational
Development Process of Distance Education Institutions: A Theoretical Evaluation. In.
G. Eby & T.V. Yuzer (Eds.), Identification, Evaluation and Perceptions of Distance
Education Experts (pp.73-88). Hershey, PA.: Information Science Reference.
Kransow, J. (2013). Faculty leadership in online education: Structuring courses to impact
student satisfaction and persistence. MERLOT Journal of Online Learning and Teaching,
9(1), 131–139.
Jaggards, S. S. (2014). Choosing Between Online and Face-to-Face Courses: Community College
Student Voices. American Journal of Distance Education, 28(1).
Mertler, C. A., & Vannatta, R. A. (2005). Multiple regression. In Advanced and multivariate
statistical methods (Third ed). Glendale, CA: Pyrczak Publishing.
Kaupp, R. (2012). Online penalty: The impact of online instruction on the Latino-White
achievement gap. Journal of Applied Research in the Community College, 12(2), 1–9.
Keller, J. M. and Suzuki, K. 2004. Learner motivation and e-learning design: A multinationally
validated process. Journal of Educational Media, 29(3): 229–239.
Kitchen, D., & McDougall, D. (1998). Collaborative learning on the Internet. Journal of
Educational Technology Systems, 27(3), 245.
Kranzow, J. (2013). Faculty leadership in online education: Structuring courses to impact
student satisfaction and persistence. MERLOT Journal of Online Learning and Teaching,
9(1), 131-139.
Kuo, Y.C, Walker, A.E., Belland, B.R & Schroder, K.E.E. (2013). A Predictive Study of Student
Satisfaction in Online Education Programs. International Review of Reseach in Open
and Distance Learning, 14(1), 16-39.
Liaw, S.S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and
effectiveness of e-learning: A case study of the Blackboard system. Computers &
Education, 51, 864–873.
Lim, C. K. (2001). Computer self-efficacy, academic self-concept, and other predictors of
satisfaction and future participation of adult distance learners. American Journal of
Distance Education, 15(2), 41-51.
Martin, A.J. (2001). The Student Motivation Scale: A Tool for Measuring and Enhancing
Motivation. Australian Journal of Guidance and Counseling, 11, 1-20.
Mitchell, T. J. F., Chen, S. Y., & Macredie, R. D. (2005). The relationship between web enjoyment
and student perceptions and learning using a web-based tutorial. Learning, Media and
Technology, 30 (1), 27-40.
Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic
study. Distance Education, 26(1), 29-48.
Moore, M. G. & Kearsley, G. (1996). Distance education a systems view (Belmont, CA,
Wadsworth Publishing Co.).
Morris, L. V., Finnegan, C., & Wu, S. (2005). Tracking student behavior, persistence, and
achievement in online courses. The Internet and Higher Education, 8(3), 221−231.
Palmer, S. R. & Holt, D. M. (2009). Examining Student Satisfaction with Wholly Online Learning.
Journal of Computer Assisted Learning, 25 (2), 101-113.
Pintrich, PR., Smith, D., Garcia, T. & McKeachie, WJ. (1993). Reliability and predictive validity of
the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and
Psychological Measurement. 53, 801-13.
182
Rattan, A., Good, C., Dweck, C. (2012), “It’s OK- Not everyone can be good at math”: Instructors
with an entity theory comfort (and demotivate) students. Journal of Experimental
Social Psychology, 48, 731-737.
Sahin, I. (2007). Predicting student satisfaction in distance education and learning
environments. Turkish Online Journal of Distance Education, 8(2). 113-119.
Sahin, I. & Shelley, M. (2008). Considering Students’ Perceptions: The Distance Education
Student Satisfaction Model. Educational Technology &Society, 11(3), 216–223.
Soon, KH., Sook, KI., Jung, CW. & Im, KM. (2000). The effects of Internet-based distance
learning in nursing. Computers in Nursing, 18(1), 19-25.
Sun, P.C, Tsai, R.J. Finger, G., Chend, Y-Y.& Yeha, D. (2008). What drives a successful eLearning?
An empirical investigation of the critical factors influencing learner
satisfaction. Computers & Education, 50 (4), 1183–1202.
Simsek, N. (2012). Uzaktan egitimde kalite gostergeleri ve teknoloji temelli uzaktan egitimin bu
gostergeler acisindan degerlendirilmesi [Quality Indicators in Distant Education and
the Assessment of Technology-Based Distant Education according to These Indicators].
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