Antecedents of student MOOC revisit intention: Moderation effect of course difficulty

Liqiang Huang, Jie Zhang and Yuan Liu

International Journal of Information Management, 2017, vol. 37, issue 2, 84-91

Abstract: In response to the research gap in the current literature regarding the low student retention of Massive Open Online Courses (MOOCs), this study uses task-technology fit theory to understand how MOOCs’ technological factors in three dimensions (i.e., course vividness, teacher subject knowledge, and interactivity) influence students’ revisiting of MOOCs. Going deeper, this study also takes course difficulty into consideration and investigates the interactive effects of course difficulty on the main factors identified above. The empirical results show that the vividness of course content, teacher subject knowledge, and MOOC interactivity can positively affect students’ intention to revisit MOOCs. However, the relationships between the three dimensional factors and student intention to revisit are affected in different ways by course difficulty. Specifically, the findings show that course difficulty negatively moderates the relationship between course content vividness and students’ intention to revisit, and positively moderates the relationship between teacher subject knowledge and students’ intention to revisit. In addition, course difficulty typically does not have a significant influence on the relationship between technology interactivity and students’ intention to revisit. Theoretical and practical implications are discussed.

Keywords: Content vividness; Teacher subject knowledge; MOOC interactivity; Course difficulty; Intention to revisit (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0268401216301797
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:37:y:2017:i:2:p:84-91

DOI: 10.1016/j.ijinfomgt.2016.12.002

Access Statistics for this article

International Journal of Information Management is currently edited by Yogesh K. Dwivedi

More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().