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This paper is in the following e-collection/theme issue:

Serious Games for Education (197) Machine Learning (2252) Gamification (164) Theoretical Foundations and Frameworks on Games and Gamification (50) Artificial Intelligence (2377) Data Science (397) Game Design and Efficacy of Game Elements (99)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83478, first published .
Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study

Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study

Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study

Authors of this article:

Gruyff Germain Abdul-Rahman1 Author Orcid Image ;   Freark de Lange1 Author Orcid Image ;   Andrej Zwitter2 Author Orcid Image ;   Noman Haleem1 Author Orcid Image
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Gruyff Germain Abdul-Rahman   1 , MSc, PhD ;   Freark de Lange   1 , BSc ;   Andrej Zwitter   2 , PhD ;   Noman Haleem   1 , PhD

1 Department of Responsible Governance and Technology, Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands

2 Centre for Human and Data Sciences, University of Klagenfurt, Klagenfurt, Carinthia, Austria

Corresponding Author:

  • Gruyff Germain Abdul-Rahman, MSc, PhD
  • Department of Responsible Governance and Technology
  • Campus Fryslân, University of Groningen
  • Wirdumerdijk 34
  • Leeuwarden 8911 CE
  • The Netherlands
  • Phone: 44 7533786621
  • Email: gruyff_a@hotmail.co.uk