Design and Development of Artificial Intelligence Dynamic Physical Education Teaching Resources in Human-Computer Interaction Mode

The objective of this research is to investigate how AI-improved dynamic physical education materials impact middle school education in physical settings. Utilizing a randomized controlled crossover approach, a 16-week study involved 120 students aged 12 to 18 to evaluate the impact of AI-enhanced physical education courses against traditional instructional techniques. Findings indicated a notable improvement in the AI group compared to traditional instruction in terms of physical fitness (23% enhancement), motor skill proficiency (31% improvement), and knowledge retention (27% enhancement) ( p < .01). Evaluations of system usability reveal that users have an excellent experience (SUS score 84.3), with a 4.7/5 satisfaction score. Qualitative feedback underscores the importance of personalized coaching and real-time feedback. Notably, the AI system shows exceptional effectiveness for students with lower initial levels of physical fitness. An analysis after three months revealed a 19% success in comprehensive performance metrics ( p < .01). This evidence points to the AI-aided physical education resources improving learning and user satisfaction, and opens new pathways for physical education innovation. Further investigation into long-term effects and widespread application across various educational contexts is needed.