From "Standardization" to "Precision": Paradigm Transformation and Implementation Pathways of University Physical Education in the Perspective of Artificial Intelligence

Abstract

With the exponential iteration of intelligent technologies and the deep advancement of education digitalization strategies, physical education (PE) in universities is facing an unprecedented paradigm crisis and transformation opportunity. For a long time, constrained by the educational thinking of the industrial age, university PE has been deeply mired in the trap of "standardization," characterized by uniform teaching objectives, unified teaching content, and singular teaching evaluation, seriously ignoring students' individual differences and diversified development needs. The intervention of Artificial Intelligence (AI) technology, with its powerful data computing power, algorithmic decision-making power, and scene perception capabilities, provides a technological lever to break this deadlock and promotes the transition of PE teaching towards a "precision" paradigm. Based on the theory of paradigm shift, this paper deeply analyzes the logical necessity of the transformation from "standardization" to "precision," pointing out that this transformation is not only a change of technical tools but also a systematic reconstruction of the ontology, epistemology, and methodology of physical education. Furthermore, from the four dimensions of precise learning situation diagnosis, precise teaching intervention, precise teaching evaluation, and precise resource allocation, the article constructs an implementation path for AI-enabled precision PE teaching in universities, and conducts an ethical examination of the risks of technological alienation, aiming to provide a theoretical landscape and practical strategies for the high-quality development of university PE in the new era.