A meta-analysis of the effectiveness of mobile supported collaborative learning

The objective of this meta-analysis study is to investigate learning results under mobile supported collaborative learning (MSCL). Robust Bayesian meta-analysis was applied to eleven studies from Scopus, Web of Science, and ERIC databases. The results reveal that MSCL has a modest but favorable effect generally (d = 0.26, 95% confidence interval [CI] [–0.34, 0.89]). Studies revealed substantial degrees of heterogeneity (τ = 0.556, 95% CI [0.305, 1.027], implying that contextual elements might influence the efficacy of MSCL. Moderator analyses showed that the MSCL was more successful at the high school level and had a greater and consistent influence especially on student motivation. Moderate publication bias was identified. These results highlight the value of MSCL as a potential improvement tool in education but suggest that its effectiveness may vary by context. Future research should examine in more detail the specific factors that increase or decrease the effectiveness of MSCL. Educators and policy makers should consider the potential benefits and limitations of this approach when implementing MSCL. © 2025 by authors; licensee OJCMT by Bastas, CY.

Authors
Sergeeva O.V. , Zheltukhina M.R. , Ishmuradova I.I. , Kondakchian N.A. , Erokhova N.S. , Zhdanov S.P.
Number of issue
1
Language
English
Status
Published
Number
e202508
Volume
15
Year
2025
Organizations
  • 1 Kuban State University, Krasnodar, Russian Federation
  • 2 Scientific and Educational Center «Person in Communication», Pyatigorsk State University, Pyatigorsk, Russian Federation
  • 3 Kazan (Volga region) Federal University, Kazan, Russian Federation
  • 4 Sechenov First Moscow State Medical University, Moscow, Russian Federation
  • 5 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 6 National Research University “Moscow Power Engineering Institute”, Moscow, Russian Federation
  • 7 Russian University of Transport, Moscow, Russian Federation
Keywords
collaborative learning; learning outcomes; mobile supported collaborative learning; robust Bayesian meta-analysis
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