Analysis of Students’ Learning Satisfaction in a Social Community Supported Computer Principles and Practice Course
Yu-Shan Lin 1
Shih-Yeh Chen 2
Yu-Sheng Su 3
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National Taitung University, Department of Information Science and Management Systems, Taitung, TAIWAN
National Taitung University, Department of Computer Science and Information Engineering, Taitung, TAIWAN
National Central University, Taoyuan, TAIWAN
National Cheng Kung University, Tainan, TAIWAN
Online publish date: 2017-12-07
Publish date: 2017-12-07
EURASIA J. Math., Sci Tech. Ed 2018;14(3):849–858
This article has been presented in IEEE ICICE 2017 - International Conference on Information, Communication and Engineering held in Xiamen, Fujian, P.R. China on November 17–20, 2017. This article belongs to the special issue “Selected papers from IEEE ICICE 2017”
The study compares the learning satisfaction of two student groups, one takes the fully online course–Introduction to Internet of Things, and the other takes the small private online course (SPOC). In the research framework, learning satisfaction is the dependent variable, and learning engagement, learning presence, video perception, platform perception, and design perception are independent variables. This work adopts online questionnaire survey to collect data from the two student groups. As to research method, Multiple Regression Analysis (MRA) is utilized to test proposed research framework. The results of MRA show that platform perception generates students’ learning satisfaction for SPOC, while video perception and design perception generate students’ learning satisfaction for fully online course. This empirical study elucidates the factors influence learner’s satisfaction and contributes to theory and practice in the domains of online courses.
Allen, I. E., & Seaman, J. (2010). Learning on demand: Online education in the United States. Retrieved from http://files.eric.ed.gov/fullt....
Anderson, T., Liam, R., Garrison, D. R., & Archer, W. (2001). Assessing teaching presence in a computer conferencing context. Journal of Asynchronous Learning Networks, 5(2).
Blumenfeld, P. C., Puro, P., & Mergendoller, J. R. (1992). Translating motivation into thoughtfulness. Redefining student learning: Roots of educational change, 207-239.
Carini, R. M., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning: Testing the linkages. Research in higher education, 47(1), 1-32.
Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160-175.
Coetzee, D., Fox, A., Hearst, M. A., & Hartmann, B. (2014). Should your MOOC forum use a reputation system. In Proc. CSCW 2014 (pp. 1176–1187). New York: ACM Press.
Connell, J. P., & Wellborn, J. G. (1991). Competence, autonomy, and relatedness: A motivational analysis of self-system processes. In M. Gunnar & L. A. Sroufe (Eds.), Minnesota Symposium on Child Psychology (Vol. 23). Chicago: University of Chicago Press.
Corno, L., & Rohrkemper, M. (1985). The intrinsic motivation to learn in classrooms. Research on motivation in education, 2, 53-90.
Fox, A. (2013). From moocs to spocs. Communications of the ACM, 56(12), 38-40.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of educational research, 74(1), 59-109.
Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is not enough. The American Journal of Distance Education, 19(3), 133-148.
Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3), 87–105.
Greckhamer, T., Misangyi, V. F., Elms, H., & Lacey, R. (2008). Using QCA in strategic management research: An examination of combinations of industry, corporate, and business unit effects. Organizational Research Methods, 11(4), 695-726.
Guo, P. J., Kim, J., & Rubin, R. (2014, March). How video production affects student engagement: An empirical study of mooc videos. In Proceedings of the first ACM conference on Learning@ scale conference (pp. 41-50). ACM.
Hu, S., Kuh, G. D., & Li, S. (2008). The effects of engagement in inquiry-oriented activities on student learning and personal development. Innovative Higher Education, 33(2), 71-81.
Moore, M. G., & Kearsley, G. (2012). Distance education: A systematic view of online learning (3rd Ed.). Belmont, VA: Wadsworth Cengage Learning.
Oremus, W. (2013). Forget MOOCs. Retrieved from: http://www.slate.com/articles/....
Shea, P., & Bidjerano, T. (2010). Learning presence: Towards a theory of self-efficacy, self-regulation, and the development of a communities of inquiry in online and blended learning environments. Computers & Education, 55(4), 1721-1731.
Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. London: John Wiley & Sons.
Skinner, E. A., & Belmont, M. J. (1993). Motivation in the classroom: Reciprocal effect of teacher behavior and student engagement across the school year. Journal of Educational Psychology, 85, 571-581.
So, H. J., & Brush, T. A. (2008). Student perceptions of collaborative learning, social presence and satisfaction in a blended learning environment: Relationships and critical factors. Computers & Education, 51(1), 318-336.
Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self‐efficacy and self‐regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191-204.
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & education, 50(4), 1183-1202.
Wang, X. H., Wang, J. P., Wen, F. J., Wang, J., & Tao, J. Q. (2016). Exploration and Practice of Blended Teaching Model Based Flipped Classroom and SPOC in Higher University. Journal of Education and Practice, 7(10), 99-104.
Woodside, A. G. (2014). Embrace • perform • model: Complexity theory, contrarian case analysis, and multiple realities. Journal of Business Research, 67(12), 2495-2503.
Yousef, A. M. F., Chatti, M. A., & Schroeder, U. (2014). Video-Based Learning: A Critical Analysis of The Research Published in 2003-2013 and Future Visions. eLmL 2014: The sixth international conference on mobile, hybrid, and on-line Learning.
Zhang, D., Zhou, L., Briggs, R. O., & Nunamaker, J. F. (2006). Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness. Information & management, 43(1), 15-27.
Zhao, C. M., & Kuh, G. D. (2004). Adding value: Learning communities and student engagement. Research in higher education, 45(2), 115-138.