The objective of this research is to address the gaps in the literature by examining the relationship among Learning self-efficacy, MOOC-satisfaction and MOOC- Loyalty of the credit-bearning MOOCs at Taylor’s University. A total 952 Taylor’s University students responded to the online survey, 757 students from the August 2017 semester while 195 students from March 2018 Semester. The online questionnaire included 10-item of learning self-efficacy in MOOC, 6-item of MOOC-satisfaction, and 5-item of MOOC-Loyalty. It also included another 2 factors which affected the self-efficacy and satisfaction: 9-item on Ease of learning in MOOC and 5-item on Quality of MOOC content. Reliability test was performed and reported the Cronbach’s alphas for students’ Learning self-efficacy in MOOC, MOOC-satisfaction and MOOC-Loyalty were 0.979, 0.959, 0.964 respectively while Cronbach alpha for Ease of learning in MOOC and Quality of MOOC content were 0.962 and 0.964 respectively. Pearson correlation analysis was performed to obtain the correlation coefficient between pair of variables among all the variables. The results of zero order correlation analysis showed a strong positive correlation between the predictors and outcome variables. However, a higher order partial correlation was also performed and results showed that MOOC-satisfaction is an intervening variable which mediate the relationship between Learning self-efficacy and MOOC-Loyalty. The research findings provided positive impact to lecturers who plan to convert from traditional teaching pedagogy to MOOC mode as Malaysian students have higher degree of MOOC-loyalty and they were in favor of continuing to take up the credit bearing MOOC throughout their study at Taylor’s university or after graduating. Besides, it also alarmed the university administrator to provide the best infra-structure for the MOOC platform and best quality of MOOC content so as to raise the MOOC-satisfaction which would enhance the MOOC-loyalty.
Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and e-loyalty: A contingency framework. Psychology and Marketing, 20(2), 123-138.
Balaji, V. (2013). MOOC in developing countries: a case study from India. Pan-Commonwealth Forum 7 (PCF7)
Bagozzi, R. P. (1992). The Self-Regulation of Attitudes, Intentions, and Behavior. Social Psychology Quarterly, 55(2), 178.
Bandura, A. (1994). Self-Efficacy. Encyclopedia of human behavior (Vol. 4, pp. 71-81). New York: Academic Press,
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351. doi:10.2307/3250921
Class Central. (2019). By The Numbers: MOOCs in 2018 ? Retrieved from https://www.classcentral.com/report/mooc-stats-2018/
Cui, Z., Yu, Q., Jiang, C., & Chen, M. (2019). Exploring Factors Influencing MOOC Continuous Learning Willingness Based on Self-efficacy. DEStech Transactions on Social Science, Education and Human Science, (icssm). doi:10.12783/dtssehs/icssm2018/27123
De La Fuente, G. Á., & Alarcón, C. D. (2017). MOOC: medición de satisfacción, fidelización, éxito y certificación de la educación digital[MOOCs: measuring satisfaction, loyalty, success and certification of digital education]. RIED. Revista Iberoamericana de Educación a Distancia, 20(1), 105. doi:10.5944/ried.20.1.16820
Hollands, F. M., & Tirthali, D. (2014). Why do Institutions Offer MOOCs? Online Learning, 18(3). doi:10.24059/olj.v18i3.464
Judd, C. M., & Kenny, D. A. (1981). Process Analysis. Evaluation Review, 5(5), 602-619. doi:10.1177/0193841x8100500502
Lee, Y., & Kwon, O. (2011). Intimacy, familiarity and continuance intention: An extended expectation–confirmation model in web-based services. Electronic Commerce Research and Applications, 10(3), 342-357. doi:10.1016/j.elerap.2010.11.005
MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7(1), 83-104. doi:10.1037/1082-989x.7.1.83
Mawaddah, M. (2018). Factors affecting MOOCS continuance intention in Malaysia: A proposed conceptual framework. Journal of Humanities, Language, Culture and Business (HLCB) Vol. 2: No. 7,61-72
Muylle, S., Moenaert, R., & Despontin, M. (2004). The conceptualization and empirical validation of web site user satisfaction. Information & Management, 41(5), 543-560. doi:10.1016/s0378-7206(03)00089-2
Norazah, M. N., Amin, M. E., & Zaidan, A. B. (2011). Integration of E-Learning in Teaching & Learning in Malaysia Higher Education Institutions. In M.A. Embi (Eds). E-Learning in Malaysian Higher Education Institutions: Status, Trend & Challenges. Malaysia: Ministry of Higher Education, 81-98.
Nordin, N., Norman, H., & Embi, M. A. (2016). Technology Acceptance of Massive Open Online Courses in Malaysia. Malaysian Journal of Distance Education, 17(2), 1-16. doi:10.21315/mjde2015.17.2.1
Polites, G. L., Williams, C. K., Karahanna, E., & Seligman, L. (2012). A Theoretical Framework for Consumer E-Satisfaction and Site Stickiness: An Evaluation in the Context of Online Hotel Reservations. Journal of Organizational Computing and Electronic Commerce, 22(1), 1-37. doi:10.1080/10919392.2012.642242
Richard, L. O. (2010). Satisfaction: A Behavioral Perspective on the Consumer. Armonk, NY: M.E. Sharpe 2010. , ISBN: 978?0?7656?1770?5 2nd ed. Journal of Service Management, 21(4), 549-551. doi:10.1108/09564231011066132
In-Text Citation: (Heng et al., 2020)
To Cite this Article: Heng, L. K., Bakar, Z. A. B. A., Omar, N. A., & Rol, L. K. (2020). Examining the relationship among Learning self-efficacy, MOOC-satisfaction and MOOC-Loyalty of MOOC Learner with Bagozzi’s Model. International Journal of Academic Research in Business and Social Sciences, 10(4), 609–620.
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