Author(s): Ashish Jasrotia and Aashna Rajput

Abstract:
Through immersive experiences, real-time analytics, and individualized instruction, AI has the potential to revolutionize physical education. However, substantial improvements in research, data quality, AI tools, and teacher education particularly in technical, ethical, and collaborative skills are necessary to fulfil this potential (Wang & Wang, 2024) ^[11]. With little depth and scope of research, the area is still in its infancy. Among the difficulties are irregular or poor data, sensor constraints, privacy and ethical issues, and AI's incompleteness in addressing the emotional, social, and inclusive facets of physical education. With a focus on their application, evaluation, and research gaps, this study explores the integration of Artificial Intelligence (AI) technologies and mobile applications in physical education and sports science. Studies on a variety of applications, from goniometry and tennis video analysis platforms to sprint timing tools and HIIT monitoring applications, were critically examined through a systematic examination of open-access journal papers from Research Gate and PubMed. The results showed that educators and athletes are increasingly embracing AI-based solutions, but there are still issues with uniformity, small sample sizes, and a lack of longitudinal data.

DOI: 10.22271/kheljournal.2025.v12.i4a.3869

Pages: 32-35  |  1113 Views  907 Downloads

Download Full Article: Click Here