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Self-report and traces of blended SRL
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.
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How many CS undergraduates participated?
145 students (108 male, 37 female).
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
What course context was studied?
A first-year compulsory blended “computer systems” course lasting 13 weeks.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
Why combine self-report and digital traces?
Each alone is limited; together they can give a more holistic picture of SRL.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
What did cluster analyses identify?
Groups with similar SRL experience, online engagement, and achievement patterns.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
How consistent were self-report and trace clustering?
Authors found a certain level of consistency across the two clustering approaches.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
What characterized stronger SRL students?
Higher efficacy, higher intrinsic goals, less anxiety, more appropriate strategies, more online activity, and higher scores.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
How did stronger self-reported SRL relate to performance?
Better self-regulated learners scored significantly higher than poorer self-regulated learners.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
What online behaviors marked more active learners?
Using dashboard comparison features and interacting more with MCQs and exercises.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
What criticism of self-report SRL measures is noted?
They can lack objectivity and may miss dynamic strategy use in real contexts.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
What pandemic-related shift frames the study?
Many face-to-face courses moved to blended or fully online delivery, raising SRL demands.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
What is a digital-trace measure here?
LMS-recorded indicators of how students engage online.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified
Within clusters, what coherence was observed?
Self-reported experience aligned with actual engagement in the compulsory online course component.
Source: Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs · DOI · quote verified