From unsuccessful to successful learning: profiling behavior patterns and student clusters in Massive Open Online Courses

Author:

Shi HuiORCID,Zhou YihangORCID,Dennen Vanessa P.ORCID,Hur JaesungORCID

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Reference89 articles.

1. Admiraal, W., Huisman, B. & van de Ven, M. (2014). Self- and peer assessment in Massive Open Online Courses. International Journal of Higher Education, 3(3), 119–128. Retrieved February 16, 2023 from https://www.learntechlib.org/p/161645/

2. Agudo-Peregrina, A. F., Iglesias-Pradas, S., Conde-Gonzalez, M. A., & Hernandez-Garcia, A. (2014). Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Computers in Human Behavior, 31, 542–550. https://doi.org/10.1016/j.chb.2013.05.031

3. Akgül, Y. (2018). Web accessibility of MOOCs for elderly students: The case of Turkey. Journal of Life Economics, 5(4), 141–150. https://doi.org/10.15637/jlecon.266

4. Al-Freih, M. (2017). Examining the relationship between self-regulated learning processes and persistence to goals in massive open online courses (Doctoral dissertation). Retrieved February 16, 2023 from https://www.proquest.com/dissertations-theses/examining-relationship-between-self-regulated/docview/1990117587/se-2

5. Alonso-Mencía, M. E., Alario-Hoyos, C., Maldonado-Mahauad, J., Estévez-Ayres, I., Pérez-Sanagustín, M., & Delgado Kloos, C. (2020). Self-regulated learning in MOOCs: Lessons learned from a literature review. Educational Review (birmingham), 72(3), 319–345. https://doi.org/10.1080/00131911.2019.1566208

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