The Effectiveness of Learning Analytics-Based Interventions in Enhancing Students’ Learning Effect: A Meta-Analysis of Empirical Studies
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.
Authors
- Enwei Xu (ORCID: https://orcid.org/0000-0001-6424-8169)
- Yan Liu
- Wei Wang (ORCID: https://orcid.org/0000-0001-9018-9086)
Institutions
- Xinjiang Normal University (CN)
- Guangdong University of Education (CN)
Publication Details
- Journal
- SAGE Open
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1177/21582440251336707
- Citations
- 3
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 5.08