The Future of Artificial Intelligence in Physical Education: Opportunities, Challenges, and Strategic Solutions

Abstract

This paper explores the transformative potential of artificial intelligence (AI) in physical education (PE) through a comprehensive review of literature and case studies. With supportive policies, AI leverages technologies such as machine learning, computer vision, virtual reality (VR), and augmented reality (AR) to enable personalized instruction, enhance teaching efficiency, streamline administrative processes, and enrich student learning experiences. However, integrating AI into PE presents challenges, including the need for teacher and student adaptation, high costs of equipment acquisition and maintenance, data privacy and ethical concerns, and difficulties in assessing teaching outcomes. To address these, the paper proposes strategies such as targeted teacher training, student engagement initiatives, cost- effective equipment sharing, robust privacy frameworks, and diversified evaluation systems. These solutions aim to provide theoretical and practical guidance for the intelligent evolution of PE, fostering its high-quality development in the modern era.

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