Research on the application path of artificial intelligence technology in precise teaching of university physical education classes

In the context of the reform of physical education teaching in colleges and universities, the traditional physical education classroom cannot fully meet the requirements of individual development of college students, and the data collection and behavior recognition function of artificial intelligence technology provides an effective way for it to realize a new path of individualization and intelligence. Based on the attributes of AI technology and the needs of physical education courses, this paper proposes to construct a closed-loop strategy of perception-cognition-feedback learning by adopting the "collection-knowing-returning" mode in view of the current situation of ultra-high false detection rate, no examples, and slow feedback, which can effectively improve the feedback learning effect and teaching response time, and provide theoretical and practical support for the digital transformation of physical education courses.