The Value Implications and Path Solutions of Artificial Intelligence Empowering School Physical Education Teaching

Abstract

Against the backdrop of accelerated digitalization in education, artifi cial intelligence (AI) technology has injected new momentum
into the high-quality development of school physical education. However, it still faces numerous practical challenges in practical applications.
This paper, in conjunction with the relevant requirements of the Ministry of Education and other eight departments on digitalization in education, systematically explores the value of AI-enhanced physical education teaching. It focuses on analyzing four major challenges: insuffi cient
adaptability of current technology applications, imbalanced resource allocation; low AI literacy among teachers, unclear role positioning;
signifi cant differences in student acceptance, inadequate personalized adaptation; as well as the lack of institutional guarantees and lagging integration concepts. From the four dimensions of technology, teachers, students, and institutions and concepts, this paper proposes optimization
paths to enhance technological adaptability, strengthen teacher literacy, accommodate student differences, and improve the guarantee system.
The aim is to promote the deep integration of AI and physical education teaching, enhance the quality and effi ciency of physical education
teaching, and achieve high-quality development.