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The Effectiveness of Learning Analytics-Based Interventions in Enhancing Students’ Learning Effect: A Meta-Analysis of Empirical Studies

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  • Yan Liu
  • Wei Wang
  • Enwei Xu

Abstract

Interventions are crucial in the learning analysis process. Learning analytics-based interventions are being widely applied in the field of education. However, it is currently unclear whether learning analytics-based interventions effectively enhance students’ learning effects. To conduct a comprehensive review assessing the extent to which interventions contribute to the enhancement or deterioration of learning outcomes. This study employs meta-analysis to quantitatively analyze 34 published empirical research articles related to learning analytics-based interventions. The results obtained from this analysis are as follows: (1) Interventions based on learning analytics can greatly enhance students’ learning outcomes, with a moderate overall effect value; (2) In terms of specific dimensions of learning outcomes, learning analytics-based interventions can effectively improve knowledge acquisition, while the improvements in social emotion and cognitive skill were relatively small; (3) subject areas, learning stage, learning environments, intervention type, and diagnostic assessment tool all serve as important moderating factors affecting the interventions on student learning outcomes.

Suggested Citation

  • Yan Liu & Wei Wang & Enwei Xu, 2025. "The Effectiveness of Learning Analytics-Based Interventions in Enhancing Students’ Learning Effect: A Meta-Analysis of Empirical Studies," SAGE Open, , vol. 15(2), pages 21582440251, June.
  • Handle: RePEc:sae:sagope:v:15:y:2025:i:2:p:21582440251336707
    DOI: 10.1177/21582440251336707
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