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A meta-analysis on the effect of learning analytics interventions on students’ academic performance

delete2025-08-04
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PRE
AI
M
Mehmet Kokoç *
S
Suphi Önder Bütüner
M
Mustafa Güler
DOI:10.1080/15391523.2025.2536571delete
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Abstract

Abstract

En 中文
Empirical studies have reported mixed findings regarding the effects of learning analytics interventions on academic performance, raising questions about the conditions under which such interventions are effective. This meta-analysis synthesizes results from 23 studies involving 9710 participants to evaluate the overall impact of learning analytics interventions. The analysis yielded an average effect size of 0.359 (95% CI = 0.230–0.487), indicating a small-to-moderate positive effect on academic performance. Due to substantial heterogeneity, a random effects model was used. Moderator analyses identified education level, learning environment, and intervention type as significant factors influencing effectiveness. These findings suggest that learning analytics interventions can positively influence student outcomes and offer a robust, evidence-based foundation for guiding future research and informing pedagogically aligned implementation strategies.
Keywords:
Learning analytics
meta-analysis
intervention
academic performance

Journal

Journal of Research on Technology in Education cover
Journal of Research on Technology in Education
IF:
5
Papers:
164
Citations:
2.7K

Organization

Y
Yozgat Bozok University
Scholars:
129
Papers: 87
Citations: 0
T
Trabzon University
Scholars:
193
Papers: 195
Citations: 87
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