Exploration on the Development of Physical Education Teaching Integration Mode in Colleges and Universities Based on Artificial Intelligence

Arti icial intelligence plays an increasingly important role in contemporary education, and it provides new possibilities for the innovation of physical education teaching mode.This paper constructs a college sports teaching integration model based on arti icial intelligence from ive aspects: educators, learners, teaching methods, educational resources and teaching feedback and evaluation.It focuses on designing a precise teaching model PLRSM based on personalized learning resource recommendation by combining learner portrait and learning resource portrait, and takes the recommendation of physical education teaching resources for physical education students as a case study to verify the effectiveness of the proposed algorithm.The results show that compared with the traditional baseline algorithm, the PLRSM algorithm still maintains a better recommendation performance when the data set co-occurrence matrix is extremely sparse, and its correct rate of physical education teaching resources recommendation is 0.80.In addition, compared with the traditional teaching model, the AIbased college physical education teaching fusion model can signi icantly improve the learners' knowledge of physical education subject and course teaching, and its post-test score is higher than the pre-test score 11.525 to 15.436 points.The study provides theoretical support and practical guidance for the application of arti icial intelligence in physical education teaching, and provides a useful reference for promoting the innovation of physical education teaching mode.