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Educators' motivations in massive open online courses for professional development.
- Source :
- Education & Information Technologies; Oct2024, Vol. 29 Issue 14, p1-25, 25p
- Publication Year :
- 2024
-
Abstract
- Massive Open Online Courses (MOOCs) are increasingly popular for teachers' professional development (PD). Understanding why teachers take MOOCs and how this relates to course completion could help identify underserved needs in teachers' professional learning. In the current study, we explored this question, as well as potential gaps between intention to complete the course and actual completion. Using a sample of 3,212 participants in four PD MOOCs, we applied topic modeling to open-ended and Likert-style data to identify teachers' motivations. The results show that most participants had intrinsic or professional motivations, but a subgroup of participants had prosocial motivations, namely, they wanted to support their students. In a set of logistic regression predicting course completion, we found that participants with intrinsic motivations were less likely to complete a course and participants with prosocial motivations were more likely to do so even after controlling for their initial intention. Our study contributes to the field by, first, identifying an underexplored group of learners, the prosocial learners. More research is needed to better understand this group. We also found that among teachers taking MOOCs, intrinsic motivations were associated with lower levels of engagement, contrary to findings in other populations, making a contribution to motivation theory as well as online learning practice. We concluded that the motivation-engagement relationship is more complex than previously thought, and recommend researchers continue examining this association to understand this discrepancy. Finally, we suggest practitioners take learners' a-priori motivations into account when designing MOOCs, as these could be important for course engagement. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13602357
- Volume :
- 29
- Issue :
- 14
- Database :
- Complementary Index
- Journal :
- Education & Information Technologies
- Publication Type :
- Academic Journal
- Accession number :
- 180500747
- Full Text :
- https://doi.org/10.1007/s10639-024-12590-6