AI-driven recommendation for personalised physical education training

The objective of this study is to explore how personalised AI-based physical education (PE) tools can enhance learning outcomes and physical fitness among college students.The research investigates the potential of AI to make PE more adaptive and data-driven through innovative motion-sensing and analytics-based game applications.Seventy-two students were divided into twelve groups, with half using AI-enhanced mobile apps that provided real-time feedback and guidance.Over eight weeks, the AI-enhanced group demonstrated significant improvements in core, upper-body, and lower-body strength (p < 0.01).The AI systems adapt continuously, offering immediate corrective feedback to improve performance.These results suggest that AI can effectively personalise physical training, promote independent exercise, and increase engagement in physical activity, contributing to sustainable fitness development.