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Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study
Fan, Yizhou1,2; Jovanović, Jelena3; Saint, John1; Jiang, Yuhang4; Wang, Qiong2; Gašević, Dragan1,5
2022-03-01
Source PublicationComputers and Education
ISSN0360-1315
Volume178Pages:104404
Abstract

Massive Open Online Courses (MOOCs) have already shown a great potential to be used as an alternative model for teacher professional development (TPD). Not only do MOOCs offer relevant content and activities, but they also provide opportunities for strengthening the skills for self-regulated learning of teachers as life-long learners. In this study, we focused on a unique sub-group of MOOC learners – retakers who take the same TPD MOOC multiple times. In the empirical study reported in this paper, we examined what learning strategies they choose when taking a TPD MOOC and the extent to which they are able to adapt their learning strategies to improve their performance in the subsequent attempts. By using learning analytic methods, we detected five learning strategies and eight major forms of strategy change adapted by MOOC retakers. We found that two strategy changes (from Content-Oriented Strategy to Intensive-Thorough Strategy or Balanced Strategy) with associated with significantly higher performance in the subsequent attempts compared to no change in strategy. Our findings have implications for MOOC instructors and providers about the ways they can support MOOC retakers. Our findings also suggest that MOOCs are not only valuable TPD resources for teachers, but they also have unique opportunities for strengthening the self-regulation skills of teacher learners as the “by-products of learning”.

KeywordLearning Analytic Learning Strategies Mooc Retakers Self-regulated Learning Teacher Professional Development
DOI10.1016/j.compedu.2021.104404
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaComputer Science ; Education & Educational Research
WOS SubjectComputer Science, Interdisciplinary Applications ; Education & Educational Research
WOS IDWOS:000782571600001
PublisherPERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
Scopus ID2-s2.0-85120964674
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Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorFan, Yizhou
Affiliation1.School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
2.Graduate School of Education, Peking University, Beijing, China
3.Department of Software Engineering, University of Belgrade, Belgrade, Serbia
4.Faculty of Science and Technology, University of Macau, Macao, China
5.Faculty of Information Technology, Monash University, Clayton, Australia
Recommended Citation
GB/T 7714
Fan, Yizhou,Jovanović, Jelena,Saint, John,et al. Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study[J]. Computers and Education, 2022, 178, 104404.
APA Fan, Yizhou., Jovanović, Jelena., Saint, John., Jiang, Yuhang., Wang, Qiong., & Gašević, Dragan (2022). Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study. Computers and Education, 178, 104404.
MLA Fan, Yizhou,et al."Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study".Computers and Education 178(2022):104404.
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