Blended learning
Self-report and traces of blended SRL
Open access · cc by · source: Europe PMC
In a blended computer-systems course, self-report and LMS-trace clustering both revealed coherent SRL profiles that aligned with online activity and course performance.
Key findings
Clusters were somewhat consistent across methods. Students reporting higher efficacy, higher intrinsic goals, lower anxiety, and better strategies were also more active online and scored higher; poorer self-reported SRL aligned with less online engagement and lower performance.
Methodology
145 first-year computer science undergraduates in a 13-week blended “computer systems” course completed self-regulated learning surveys; researchers also used LMS digital traces and clustered students using both data sources.
Limitations
Correlational clustering cannot prove that changing SRL strategies causes higher grades, and findings are from one compulsory CS course.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Self-report and digital-trace clustering can recover coherent SRL profiles that align with online activity and course performance.
Evidence for the claim as stated.
Digital-trace clustering of SRL-related activity aligns with self-report profiles and course performance.
Evidence for the claim as stated.
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