Emerging AI Trends in Sports Science: Transforming Performance, Pedagogy, and Personalization

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Authors: Shahajahan D Dange, Senthilkumar K.
Cited by: 0

Abstract

Abstract The incorporation of Artificial Intelligence (AI) into Physical Education (PE) and Sports Science is transforming traditional approaches by improving athlete performance, enhancing teaching methods, and facilitating personalized athletic growth. This paper provides an in-depth review of current and emerging AI applications in various areas of PE and sports science, such as performance analysis, injury prevention, skill development, coaching, and educational practices. Based on recent empirical research, technological advancements, and theoretical models, it discusses the advantages, challenges, and ethical issues related to AI use in these fields. Furthermore, the paper considers future directions and offers recommendations for educators, coaches, and researchers to effectively and responsibly utilize AI. This study contributes to the ongoing conversation about technology’s role in human physical development and highlights the importance of interdisciplinary collaboration to advance AI-driven sports sciences.

Fields of Study & Subjects

Educational Technology and Pedagogy Physical Education and Training Studies Artificial Intelligence Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 February 2026
Language
EN