Review Article

Self-Regulated Learning In A Massive Open Online Course: A Review of Literature

Hizam Min 1 * , M. Khalid M. Nasir 1
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1 Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, MALAYSIA* Corresponding Author
European Journal of Interactive Multimedia and Education, 1(2), 2020, e02007, https://doi.org/10.30935/ejimed/8403
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ABSTRACT

Massive Open Online Course (MOOC) is an online course accessible through the internet to deliver online learning content to anyone who is interested to gain knowledge in the various fields offered. Some of the accessible materials are video clips, downloadable and plenary discussion in social media activity. In addition, there are interactive forums that build a community of educators and students. This paper reviews the ongoing research trends from ongoing research in various disciplines at MOOC. Its background reviews are structured descriptively and chronologically from the information collected. This paper then focuses on the role of Self-Regulated Learning (SRL) as a strong support to MOOC. The advantages of MOOC are very beneficial, it enables more people to gain knowledge at no cost, without space or temporal constraints, in online courses over the web. The findings indicate the SRL has a great impact in the MOOC achievement. Although there are obstacles in providing solutions for the implementation of MOOCs to achieve the best results. Future studies should look at more complex and challenging current situations for the implementation of MOOCs in keeping with the latest modern learning.

CITATION (APA)

Min, H., & Nasir, M. K. M. (2020). Self-Regulated Learning In A Massive Open Online Course: A Review of Literature. European Journal of Interactive Multimedia and Education, 1(2), e02007. https://doi.org/10.30935/ejimed/8403

REFERENCES

  1. Abbakumov, D., Desmet. P., & Noortgate, W. V. (2018). Measuring student’s proficiency in MOOCs: multiple attempts extensions for the Rasch model. Heliyon, 4, 1-15. https://doi.org/10.1016/j.heliyon.2018.e01003
  2. Artino, A. R. (2007). Online Military Training: Using a Social Cognitive View of Motivation and Self-Regulation to Understand Students’ Satisfaction, Perceived Learning, and Choice. Quarterly Review of Distance Education; Charlotte, 8(3), 191-202. Retrieved from https://search.proquest.com/openview/19eac88d3ba42f513f1b0f0e90da4b17/1?pq-origsite=gscholar&cbl=29705
  3. Baharudin, H., Nasir, M. K. M., Yusoff, N. M. R. N., & Surat, S. (2018). Assessing Students’ Course Satisfaction with Online Arabic Language Hybrid Course. Advanced Science Letters, 24, 350-352. https://doi.org/10.1166/asl.2018.12005
  4. Bralić, A., & Divjak, B. (2018). Integrating MOOCs in traditionally taught courses: achieving learning outcomes with blended learning. International journal of educational technology in higher education, 15(2), 1-16. https://doi.org/10.1186/s41239-017-0085-7
  5. Butler, D. L. (2002) Qualitative Approaches to Investigating Self-Regulated Learning: Contributions and Challenges. Educational Psychologist, 37(1), 59-63. https://doi.org/10.1207/S15326985EP3701_7
  6. Castillo, N. M., Lee, J., Zahra, F. T., & Wagner, D. A. (2015). MOOCs for Development: Trends, Challenges, and Opportunities. Journal Articles (Literacy.org), 11(2). 35-42. Retrieved from https://repository.upenn.edu/literacyorg_articles/6
  7. Cho, M., & Shen, D. (2013). Self-regulation in online learning. Journal Distance Education, 34(3). 290-301. https://doi.org/10.1080/01587919.2013.835770
  8. Daniel, J. (2012). Making Sense of MOOCs: Musings in a Maze of Myth, Paradox and Possibility. Journal of Interactive Media for Education, 2012(3), p.Art.18. https://doi.org/10.5334/2012-18
  9. Davis, D., Chen, G., Van, T., Zee, T. V. D., Hauff, C., & Houben, G. J. (2016). Retrieval practice and study planning in MOOCs: Exploring classroom-based self-regulated learning strategies at scale. European Conference on Technology Enhanced Learning. 57-71. https://doi.org/10.1007/978-3-319-45153-4_5
  10. Domingo, M., Paran, A., Révész, A., & Palange, A. (2019). Exploring factors that influence the impact of MOOC learning on participants’ professional practice. Institute of Education, University College London. Retreived from https://london.ac.uk/sites/default/files/leaflets/ExploringFactorsThatInfluenceTheImpactOfMOOCs_Final.pdf
  11. Erwin, H., Susie, L. G., Sara, G. M., Curtis, J. B., & Bernard, R. R. (2019). Goal Setting and MOOC Completion: A Study on the Role of Self-Regulated Learning in Student Performance in Massive Open Online Courses. International Review of Research in Open and Distributed Learning, 20(3). https://doi.org/10.19173/irrodl.v20i4.4270
  12. Espinosa, B. J. G., Tenorio, G. C., & Ramírez-Montoya, M. (2015). Self-motivation challenges for student involvement in the Open Educational Movement with MOOC. RUSC. Universities and Knowledge Society Journal, 12(1), 91-103. https://doi.org/10.7238/rusc.v12i1.2185
  13. García, B. J., Tenorio, G. C., & Ramírez, M. S. (2015). Self-motivation challenges for student involvement in the Open Educational Movement with MOOC. RUSC. Universities and Knowledge Society Journal, 12(1), 91-103. https://doi.org/10.7238/rusc.v12i1.2185
  14. Jansen, R. S., Leeuwen, A. V., Janssen, J., Conijn, R., & Kester, L. (2020). Supporting learners’ self-regulated learning in Massive Open Online Courses. Computers & Education, 146, 103771. https://doi.org/10.1016/j.compedu.2019.103771
  15. Kizilcec, R. F, Perez-Sanagustín, M., & Maldonado, J. J. (2016). Recommending Self-Regulated Learning Strategies Does Not Improve Performance in a MOOC. L@S ‘16: Proceedings of the Third (2016) ACM Conference on Learning @ Scale, 101-104. https://doi.org/10.1145/2876034.2893378
  16. Lambert, S. R. (2020). Do MOOCs contribute to student equity and social inclusion? A systematic review 2014-18. Computers & Education, 145, 103693. https://doi.org/10.1016/j.compedu.2019.103693
  17. Lan, M., & Jiutong, L. (2018). Understanding Self-Regulated Learning Studies in MOOCs: A Systematic Review. Paper presented at the AERA 2018 Annual Metting, New York.
  18. Lee, D., Watson, S. L., & Watson, W. R. (2019). Systematic literature review on self-regulated learning in massive open online courses. Australasian Journal of Educational Technology, 35(1). 28-41. https://doi.org/10.14742/ajet.3749
  19. Marta-Lazo, C., Osuna-Acedo, S., & Gil-Quintana, J. (2018). sMOOC: A pedagogical model for social inclusion. Heliyon, 5, 2405-8440. https://doi.org/10.1016/j.heliyon.2019.e01326
  20. McAuley, A., Stewart, B., Siemens, G., & Cormier, D. (2010). The MOOC Model for Digital Practice. The University of Prince Edward Island. CC Attribution
  21. Panadero, E. (2017). A Review of Self-regulated Learning: Six Models and Four Directions for Research. Frontiers in Psychology, 8, 422. https://doi.org/10.3389/fpsyg.2017.00422
  22. Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational Psychologist, 36(2), 89-101. https://doi.org/10.1207/S15326985EP3602_4
  23. Park, T. J., Cha, H. J., & Lee, G. Y. (2016). A study on design guidelines of learning analytics to facilitate self-regulated learning in MOOCs. Educational Technology International, 17(1), 117-150. Retrieved from http://kset.or.kr/eti_ojs/index.php/instruction/article/view/61
  24. Petticrew, M., & Roberts, H. (2006). Systematic Reviews in the Social Sciences: A Practical Guide. Oxford. Counselling and Psychotherapy Research, 6(4), 304-305. https://doi.org.10.1080/14733140600986250
  25. Puustinen, M., & Pulkkinen, L. (2001). Models of Self-regulated Learning: A review. Scandinavian Journal of Educational Research, 45(3), 269-286. https://doi.org/10.1080/00313830120074206
  26. Schraw, G., Crippen K. J., & Hartley K., (2006). Promoting Self-Regulation in Science Education: Metacognition as Part of a Broader Perspective on Learning. Research in Science Education, 36, 111-139. https://doi.org/10.1007/s11165-005-3917-8
  27. Wong, J., Baars, M., Davis, D., Zee, T. V. D., Houben, G., & Paas, F. (2019). Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human-Computer Interaction, 35(4-5), 356-373, https://doi.org/10.1080/10447318.2018.1543084
  28. Yeomans, M., & Reich, J. (2017). Planning prompts increase and forecast course completion in massive open online courses. Proceedings of the Seventh International Learning Analytics & Knowledge Conference. Vancouver British Columbia Canada. 464–473. https://doi.org/10.1145/3027385.3027416
  29. Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Journal Theory into Practice, 41(2). 64-70. https://doi.org/10.1207/s15430421tip4102_2
  30. Zimmerman, B. J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48(3), 135-147. https://doi.org/10.1080/00461520.2013.794676
  31. Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky & A. C. Graesser (Eds.), Handbook of Metacognition in Education. New York: Routledge. Retrieved from https://psycnet.apa.org/record/2010-06038-016