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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Enwei Xu, Yan Liu, Wei Wang
3 citations
SAGE Open
Online Learning and Analytics
5.08
article

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

Enwei Xu, Yan Liu, Wei Wang
article en
3 citations

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.

SAGE OpenVol. 15(2)
Xinjiang Normal University (CN), Guangdong University of Education (CN)
Quality Education
Openalex Percentile: Top 4%
Online Learning and Analytics
5.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.