Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/7316
Title: Systematic review of self-regulated learning with blended learning in digital space
Authors: Faathima Fayaza, M. S.
Ahangama, Supunmali
Keywords: Technology
Self-regulation
IEEE Xplore
Science Direct
Issue Date: 30-Sep-2024
Publisher: IEEE
Citation: IEEE Access ( Volume: 12) pp. 143090 -143105
Abstract: Technology enhancements introduce novel learning modes by replacing traditional face-to-face learning. Blended learning (BL) has emerged as the new normal, combining face-to-face instructions and online elements. Successful BL requires a high self-regulation capability among the learners. Technology can enhance these Self-Regulated Learning (SRL) capabilities. This paper reviews 66 papers published in the Scopus, IEEE Xplore, Google Scholar, and Science Direct databases between 2016 and 2024 (till March) using the PRISMA model. As per the review, self-reported data using a questionnaire is the most used mechanism to collect data on users and most of the studies used university undergraduates as a learner group. Very few researchers work collaboratively, though enhancement of the collaborative work will bring better outcomes. In general, SRL positively impacts learning outcomes in the BL context. Cognitive, metacognitive, motivational, and resource management strategies enhance learning, and emotional engagement is enhanced by the user interface of learning platforms. However, some strategies do not have an impact on the BL environment. This study suggests the importance of understanding the long-term impact of SRL and how different strategies impact the learning outcomes and their subsequent performance. Also, it is necessary to apply the different SRL strategies to different contexts to generalize the findings.
URI: http://ir.lib.seu.ac.lk/handle/123456789/7316
ISSN: 2169-3536
Appears in Collections:Research Articles

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