Influencing Factors on Students’ MOOC Learning Intentions Based on UTAUT Model

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 18 ›› Issue (2): 96-103.

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Influencing Factors on Students’ MOOC Learning Intentions Based on UTAUT Model

School of Economics and Management, Beijing University of Posts and Telecommunications,
Beijing 100876, China

Received:2016-01-18 Online:2016-04-30

Abstract

Abstract:

Online course (MOOC) is a new teaching method, which has got fast development all over the world in recent years and deeply influenced people’s way of learning But MOOC also encountered problems of losing students and low graduation rate Aiming at these problems, a theory model is proposed based on the theory of information technology acceptance and behavior, and the influencing factors on students’ participation in MOOC are analyzed through empirical research method Results show that performance expectancy, effort expectancy, social influence and the MOOC platform’s facilitating conditions significantly affect students’ learning intentions, and students’ learning intentions significantly affect the learning behavior Involvement positively moderates the relationship between effort expectancy, social influence and learning intention, and negatively moderates the relationship between facilitating conditions and learning behavior Suggestions for MOOC’s development strategy at current stage are proposed based on the research

Key words: MOOC, online course;UTAUT, learning intention, influencing factor

CLC Number:

G434

WANG Yin-feng，YAN Qiang. Influencing Factors on Students’ MOOC Learning Intentions Based on UTAUT Model[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 18(2): 96-103.

References

［1］ Anderson A, Huttenlocher D, Kleinberg J, et al. Engaging with massive online courses［C］//International World Wide Web Conferences Steering Committee, 2014: 687-698.
［2］王哲. 大规模开放在线课程的用户行为研究［J］. 计算机教育, 2014（21）: 21-26.
［3］贾积有, 缪静敏, 汪琼. MOOC学习行为及效果的大数据分析——以北大6门MOOC为例［J］. 工业和信息化教育, 2014（9）: 23-29.
［4］ Guo Philip J, Kim J, Rubin R. How video production affects student engagement an empirical study of MOOC videos ［J］. ACM Learning at Scale, 2014（2）: 3-11.
［5］ Jordan K. Initial trends in enrolment and completion of massive open online courses ［J］. The International Review of Research in Open and Distributed Learning, 2014, 15(1): 134-160.
［6］虞鑫, 陆洪磊. 学习者采用MOOC的影响因素研究: 基于清华大学“学堂在线”的用户调查［J］. 现代远距离教育, 2014（5）: 3-8.
［7］ DeBoer J, Ho A D, Stump G S. et al. Changing “course” reconceptualizing educational variables for massive open online courses ［J］. Educational Researcher, 2014, 43(2): 74-84.
［8］ Kohne F, Schoop M, Staskiewicz D. An empirical investigation of the acceptance of electronic negotiation support system features［C］ //Proceedings of the 13th European Conference on Information Systems, Information Systems in a Rapidly Changing Economy, ECIS 2005. Regensburg: 2005.
［9］ Anderson J E, Schwager P H, Kerns R L. The drivers for acceptance of tablet PCs by faculty in a college of business［J］. Journal of Information Systems Education, 2006, 17(4): 429-432.
［10］ Pynoo B, Devolder P, Tondeur J, et al. Predicting secondary school teachers’ acceptance and use of a digital learning environment: a cross-sectional study［J］. Computers in Human Behavior, 2011, 27(1): 568-575.
［11］ Shin D H. Towards an understanding of the consumer acceptance of mobile wallet［J］. Computers in Human Behavior, 2009, 25(6): 1343-1354.
［12］ Cody-Allen E, Kishore R. An extension of the UTAUT model with e-quality, trust, and satisfaction constructs［C］//Proceedings of the 2006 ACM SIGMIS CPR Conference on Computer Personnel Research 2006. Claremont: ［s.n.］, 2006: 82 - 89.
［13］ Hew K F, Cheung W S. Students’ and instructors’ use of massive open online courses (MOOCs): motivations and challenges ［J］. Educational Research Review, 2014(12): 45-58.
［14］ Gillani N, Eynon R. Communication patterns in massively open online courses ［J］. The Internet and Higher Education, 2014(23): 18-26.
［15］ Li N, Verma H, Skevi A, et al. Watching MOOCs together: investigating co-located MOOC study groups ［J］. Distance Education, 2014, 35(2): 217-233.

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Influencing Factors on Students’ MOOC Learning Intentions Based on UTAUT Model

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