Surviving the Shift in Pedagogy: Integration of Cognition, Metacognition, and Motivation of Learners’ Self-Regulated Learning Strategies (SRLS) During Online and Onsite Classes
Keywords:
SRL strategies, online, in person, self-regulatedAbstract
As students’ engagement in online classes continue to increase, there is a need to understand the differences of the Self-Regulated Learning (SRL) strategies used by students in online and on-site classes. SRL strategies are considered relevant to students’ grades and performance. Due to the challenges unique to each group, the variety of SRL strategies implicated could impact the effect and prediction of students’ performance in both online and on-site classes. The purpose of this article is to guide both students and educators alike on the best SRL strategies to put in place in different circumstances. This article provides learners’ perspectives on online learning, and the challenges that go along with the changing aspects of this pedagogy. The study also seeks to provide recommendations, spearhead improvements in teaching and learning using available online resources, and to understand the effects that accompany little technological knowledge. The authors hope that this paper will provide additional knowledge on the impacts of COVID‐19 on the education sectors.
References
Dinsmore, D., Alexander, P., & Loughlin, S. (2008). Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20, 391-409.
El-Adl, A., & Alkharusi, H. (2020). Relationships between Self-Regulated Learning Strategies, Learning Motivation and Mathematics Achievement. Cypriot Journal of Educational Sciences, 15(1), 104-111.
Lee, D., Watson, S. L., & Watson, W. R. (2020). The Influence of Successful MOOC Learners’ Self-Regulated Learning Strategies, Self-Efficacy, and Task Value on Their Perceived Effectiveness of a Massive Open Online Course. International Review of Research in Open and Distributed Learning, 21(3), 81-98.
Lee, D., Watson, S. L., & Watson, W. R. (2020). The Relationships Between Self-Efficacy, Task Value, and Self-Regulated Learning Strategies in Massive Open Online Courses. International Review of Research in Open and Distributed Learning, 21(1), 23- 39.
Moreno-Marcos, P. M., Munoz-Merino, P. J., Maldonado-Mahauad, J., Perez-Sanagustin, M.,
Alario- Hoyos, C., & Kloos, C. D. (2020). Temporal analysis for dropout prediction using self- regulated learning strategies in self-paced MOOCs. Computers & Education, 145, 103728.
Paris, S. & Paris, A. (2001). Classroom applications of research on self-regulated learning. Educational Psychology, 36, 89-101.
Reparaz, C., Aznárez-Sanado, M., & Mendoza, G. (2020). Self-regulation of learning and MOOC retention. Computers in Human Behavior, 111, 106423.
Schraw, G., Kauffman, D. F., & Lehman, S. (2002). Self-regulated learning. The encyclopedia of cognitive science, 1063-1073.
Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10-17.
Sun, T., & Wang, C. (2020). College students’ writing self-efficacy and writing self-regulated learning strategies in learning English as a foreign language. System, 90, 102221.
Teaching Excellence in Adult Literacy (2010). Self- Regulated Learning. Retrieved from https://lincs.ed.gov/sites/default/files/3_TEAL_Self%20Reg
Yu, H., Harper, S., & Vigo, M. (2021). Modeling Micro-Interactions in Self-Regulated Learning: a Data-Driven Methodology. International Journal of Human-Computer Studies,102625.
Zimmerman, B., Bonner, S., & Kovach, R. (2002). Developing self-regulated learners: Beyond achievement to self-efficacy. Washington, DC: American Psycho-logical Association.
Zimmerman, B. & Schunk, D. (2001). Self-regulated learning and academic achievement: Theoretical perspectives. Mahwah, NJ: Lawrence Erlbaum Associates.
