The continuous innovation of artificial intelligence technology is driving the advancement of university physical education toward intelligent development. This study explores the current practices and core challenges of artificial intelligence in university physical education through literature review and logical analysis, while proposing corresponding optimization strategies. The research indicates that artificial intelligence has been applied in areas such as teaching auxiliary tool development, personalized training plan design, virtual reality technology application, and intelligent resource management. However, it still faces issues like uneven distribution of educational resources, significant data security risks, weak digital skills among teachers, and insufficient student initiative in learning. To address these challenges, the study recommends measures such as balancing the allocation of educational resources, improving data security protection systems, enhancing technical training for faculty, fostering students' autonomous learning awareness, and promoting interdisciplinary collaborative innovation. These efforts aim to deepen the organic integration of artificial intelligence and physical education, providing robust support for the modernization of physical education in the new era.

Yaru Wang, Mo Chen, Hui Huang. The Practical Challenges and Breakthrough Pathways of AI Empowering University Physical Education. Frontiers in Educational Research (2025), Vol. 8, Issue 11: 128-134. https://doi.org/10.25236/FER.2025.081119.

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