Meta-Synthesis of Qualitative Research on Artificial Intelligence in Physical Education: Performance, Ethics, and Global Trends

Document Type : Review Article

Authors

1 Department of Educational Science, Farhangian University, Tehran, Iran

2 Department of Learning, Data Analytics and Technology, University of Twente, Netherlands

10.30476/ijvlms.2025.107252.1339

Abstract

Background: This study explores the transformative potential of Artificial Intelligence (AI) in Physical Education (PE), examining its capacity to enhance instructional quality and student engagement. It also critically addresses ethical concerns and implementation challenges across culturally diverse and resource-variable contexts.
Methods: This qualitative study employed the Sample, Phenomenon of Interest, Design, Evaluation, and Research type (SPIDER) framework to systematically retrieve and synthesize 41 peer-reviewed articles from academic databases including ScienceDirect, Elsevier, ProQuest, ERIC, Taylor & Francis, and UNESCO. The studies were preliminarily screened and then appraised for quality utilizing the Mixed Methods Appraisal Tool (MMAT). Lastly, thematic synthesis was done in a bid to discern significant patterns and results regarding the research point of emphasis.
Results: Thematic synthesis identified six key themes in the integration of AI in PE: performance optimization, individualized learning, data-informed assessment, engagement and motivation, improvement in the educational process, and ethical challenges in implementation. Whereas AI shows considerable promise in remodeling PE practices, implementation remains differential across locations. Inhibitors like restricted access to equipment and technology, ethical concerns, and differences in institutional emphasis persist in dictating the course of AI implementation. Comparative analysis across locations also served to emphasize differences in approach and areas of emphasis in AI-infused pedagogy.
Conclusion: Effective AI integration in PE is contingent upon context-aware design, improved instructor readiness, and effective ethical leadership. Inclusive professional development and culturally informed frameworks ought to initiate balanced and resilient use.

Highlights

Zainab Gorzinmataee (Google Scholar)

Keywords

References

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Interdisciplinary Journal of Virtual Learning in Medical Sciences
Volume 16, Issue 3 - Serial Number 62
September 2025
Pages 213-231

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History

  • Receive Date: 24 May 2025
  • Revise Date: 10 August 2025
  • Accept Date: 01 September 2025
  • Publish Date: 01 September 2025

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