Observational analysis highlights enhanced self-regulated learning through behavior measures in undergraduates, implying improved learning skills.
This study explored the use of learning analytics dashboards (LADs) to support self-regulated learning (SRL) for undergraduates. Learning analytics data have become more widely available in the context of undergraduate learning environments. In recent years, it has become much easier to capture students’ online interactions with an institution’s learning management system (LMS) and third-party platforms associated with a course (e.g., textbook publishers, homework platforms, student response systems, etc.). These interactions generate log data that can be shared with learners to help them understand aspects of their own learning process. This presents an opportunity to support learners’ development and execution of SRL skills. Additionally, there is the potential to supplement traditional methods of measuring SRL (e.g., self-report survey instruments) with measures of behavior which are less prone to certain pitfalls.
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George Salim (2025) studied this question.
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