Digital-Intelligence Integration and Ecological Reconstruction: Research on the Collaborative Mechanism of AI-Enabled Personalized Physical Education in Universities

Abstract

Currently, physical education (PE) in universities is at a critical transition period from standardization to personalization. The intervention of Artificial Intelligence (AI) technologies is not merely an overlay at the tool level but a systemic reconstruction of the PE ecosystem. Grounded in the era of "Digital-Intelligence Integration," this paper deeply analyzes the realistic dilemmas existing in traditional university PE, such as "data silos," "supply-demand mismatch," and "lagging evaluation." Based on Collaborative Governance Theory and Constructivist Learning Theory, this paper proposes constructing a "Technology-Pedagogy-Institution" trinity collaborative mechanism: at the technological level, breaking information barriers through multi-modal data fusion; at the pedagogical level, promoting the reshaping of new "teacher-machine collaborative" teaching relationships; and at the management level, establishing a cross-departmental resource integration and ethical regulation system. The paper further proposes implementation pathways for AI-enabled personalized PE in universities from three dimensions: the construction of precision teaching scenarios, the reconstruction of dynamic evaluation systems, and the governance of ethical pathways, aiming to provide theoretical support and practical references for promoting the digital transformation of higher education and improving the quality of sports education.