Abstract
Students' capability to metacognitively regulatethemselves—cognitively or behaviourally—intheir learning plays a pivotal role in determining their academic performance. The dynamic aspect of Self-RegulatedLearning (SRL)will be challenging to capture if it relies on perceptual data obtained from students through questionnairesand interviews and only at specific points in time. One potential alternativeis to use an approach that captures student activity data in real-time throughout the learning period.Given the context-sensitivity involved in measuring SRL via event data, a solid theoretical foundation is essential in analysingpatterns of SRL behaviourusing event log data. This scoping review paper aims to identify and map how the empirical studies in this area consider SRL theory or models, not only when interpreting analytical results but also when designing instruction and interpreting SRL indicators from raw data. A thorough literature search was performed on various online databases, including Scopus, IEEExplorer, ProQuest, and Web of Science,to identify relevant studies. Following the PRISMA scoping review (PRISMA-ScR) as a protocol for the review, 39studies published between 2012 and 2023 were included. This study found limited studies incorporating SRL theory in every analysis stage, from designing instruction to preprocessing event data and interpreting analytical models. This study also highlighted the importance of includingcontextual and theoretical factors when assessing self-regulatory behaviouralpatterns
Original language | English |
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Title of host publication | ASCILITE 2023 Conference Proceedings |
Subtitle of host publication | People, Partnerships and Pedagogies |
Editors | T. Cochrane, V. Narayan, C. Brown, K. MacCallum, E. Bone, C. Deneen, R. Vanderburg, B. Hurren |
Place of Publication | Christchurch, New Zealand |
Pages | 126-136 |
Number of pages | 11 |
DOIs | |
Publication status | Published - 2023 |
Event | ASCILITE 2023: People, Partnerships and Pedagogies - University of Canterbury, Christchurch, New Zealand Duration: 3 Dec 2023 → 6 Dec 2023 |
Conference
Conference | ASCILITE 2023 |
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Country/Territory | New Zealand |
City | Christchurch |
Period | 3/12/23 → 6/12/23 |