Path Mechanism and Empirical Research of Artificial Intelligence Empowering Physical Education Classroom Teaching Reform
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DOI: 10.25236/etmhs.2025.037
Corresponding Author
Lu Liu
Abstract
This article focuses on the integration of artificial intelligence (AI) and physical education (PE) classroom teaching, and explores the way of empowering teaching reform. Through literature research, the theoretical basis is clarified, and the PE classes in schools of different regions and levels are selected as the objects by using the experimental method. Futhermore, the experimental group and the control group were set up, adopting AI empowerment teaching and traditional teaching mode respectively, and collecting data with the help of questionnaires and test scales, which were processed by descriptive statistics, difference test and correlation analysis. The results show that the improvement of sports skills in the experimental group, such as basketball shooting percentage and football ball control skills, is far greater than that in the control group. The development of physical quality, such as endurance and explosive power, is more significant; The average score of learning interest in the experimental group was also higher than that in the control group. This shows that the reform of AI-enabled PE classroom teaching has achieved remarkable results, and all the reform paths are practical and effective, which provides strong support and feasible direction for the modernization of PE teaching.
Keywords
Artificial Intelligence; Physical Education Classroom Teaching; Teaching Reform; Path Mechanism