A bibliometric and meta-analytic review of the impact of MOOCs in higher education

Massive Open Online Courses (MOOCs) have gained increasing attention in higher education. This study presents a systematic review using bibliometric analysis and meta-analysis to examine the impact of MOOCs on learning outcomes. Bibliometric analysis identifies key themes, while meta-analysis synthesizes findings for a comprehensive understanding. A total of 116 publications from the Scopus database were analyzed to visualize the conceptual structure and emerging themes. Twelve experimental studies were further examined to assess MOOCs' effects on Actual Learning, Perceived Learning, and Satisfaction. Data analysis using OpenMEE calculated aggregate mean differences, forest plots, and publication bias. Results show that MOOCs significantly impact learning outcomes, with an overall effect size of 0.683 (strong). Specifically, Actual Learning had a strong effect (0.847), while Perceived Learning (0.354) and Satisfaction (0.284) had moderate effects. These findings confirm that MOOCs can significantly improve learning outcomes in higher education. The study concludes that both the theoretical development and practical implementation of MOOCs should consider these differentiated impacts across learning dimensions. The findings of this study are expected to offer meaningful pedagogical contributions to curriculum development, instructional practices, and institutional policies aimed at enhancing the effective integration of MOOCs in higher education settings

Authors

Institutions

Publication Details

Journal
Zbornik Instituta za pedagoska istrazivanja
Published
2025-01-01
DOI
https://doi.org/10.2298/zipi2501119r
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A bibliometric and meta-analytic review of the impact of MOOCs in higher education

Cecep Kustandi, Eveline Siregar, Gema Rullyana
Zbornik Instituta za pedagoska istrazivanja
Online Learning and Analytics
article

A bibliometric and meta-analytic review of the impact of MOOCs in higher education

Cecep Kustandi, Eveline Siregar, Gema Rullyana
article en

Abstract

Massive Open Online Courses (MOOCs) have gained increasing attention in higher education. This study presents a systematic review using bibliometric analysis and meta-analysis to examine the impact of MOOCs on learning outcomes. Bibliometric analysis identifies key themes, while meta-analysis synthesizes findings for a comprehensive understanding. A total of 116 publications from the Scopus database were analyzed to visualize the conceptual structure and emerging themes. Twelve experimental studies were further examined to assess MOOCs' effects on Actual Learning, Perceived Learning, and Satisfaction. Data analysis using OpenMEE calculated aggregate mean differences, forest plots, and publication bias. Results show that MOOCs significantly impact learning outcomes, with an overall effect size of 0.683 (strong). Specifically, Actual Learning had a strong effect (0.847), while Perceived Learning (0.354) and Satisfaction (0.284) had moderate effects. These findings confirm that MOOCs can significantly improve learning outcomes in higher education. The study concludes that both the theoretical development and practical implementation of MOOCs should consider these differentiated impacts across learning dimensions. The findings of this study are expected to offer meaningful pedagogical contributions to curriculum development, instructional practices, and institutional policies aimed at enhancing the effective integration of MOOCs in higher education settings

Zbornik Instituta za pedagoska istrazivanjaVol. 57(1)
State University of Jakarta (ID)
Openalex Percentile: Top 82%
Online Learning and Analytics
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.