
This study examines how we can better encourage students to learn from a Massive Open Online Course (MOOC), which is one of the most significant supplementary ways of learning (in-class learning being primary). Drawing on the regulatory focus theory, I propose that, to students with a different regulatory-focus (promotion-focus or prevention-focus), different types of advocates (promotion-oriented or prevention-oriented advocates) yield different levels of motivation in students engaged in MOOC learning. The experimental results suggest that proper matching-such that promotion-oriented advocates match with promotion-focused students, and prevention-oriented advocates match with prevention-focused students-significantly increases students' motivation to learn from an MOOC and their evaluation of the MOOC as helpful, but they typically do not yield positive evaluations from students regarding the enjoyment of MOOC learning. Both theoretical and practical implications are discussed. Students with different regulatory focus evaluate MOOC differently.Students have higher intention to learn from MOOC in match situations.MOOCs are perceived as more helpful by students in match situations.MOOCs are not be perceived as more enjoyable by students in match situations.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 52 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
