Research on AI Empowering the Transformation of School Physical Education Teaching: Value Implications and Promotion Path

DOI: https://doi.org/10.62517/jmpe.202618302

Author(s)

Wei Fan

Affiliation(s)

School of Sport Law, Shanghai University of Political Science and Law, Shanghai, China

Abstract

Digital technology iteration drives the upgrading of basic education teaching mode. With core advantages such as data collection and intelligent analysis, artificial intelligence deeply penetrates the entire process of school physical education teaching, becoming a key lever to solve pain points such as homogenization, single evaluation, and insufficient personalization in traditional physical education teaching. Traditional school physical education teaching is constrained by factors such as faculty, methods, and evaluation, making it difficult to adapt to students' differentiated physical fitness and learning needs, and the educational effectiveness has not met expectations. This article adopts the methods of literature review, field research, case analysis, and logical induction to systematically analyze the value and implications of AI empowering school physical education teaching, clarify the practical difficulties faced by the current intelligent transformation, and combine the actual situation of physical education teaching in primary and secondary schools and universities to construct a scientifically feasible promotion path, design a supporting application architecture and evaluation system, and provide theoretical support and practical reference for the digital transformation of school physical education.

Keywords

Artificial Intelligence; School Sports; Physical Education Teaching; Teaching Reform; Smart Sports; Personalized Teaching

References

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