Computer-Aided Medical Enhancement of Hybrid Physical Education Teaching through Big Data and Artificial Intelligence Optimization in Online and Offline Modes

This study aims to explore the optimization of online and offline hybrid physical education teaching model based on big data and artificial intelligence. Firstly, the research comprehensively analyzes the application status and trend of big data and artificial intelligence in physical education teaching, and further studies the evolution and current status of hybrid physical education teaching model. In order to find the key factors affecting the teaching model, the research applied the factor analysis method, and through descriptive statistical analysis, revealed the core factors in the blended physical education teaching model. On this basis, a hybrid physical education model based on factor analysis results is designed and implemented. Through the field experiment data collection, aiming at the problems in the experiment, the research put forward the solution strategy, and carried out the model optimization. Finally, the teaching model is further optimized based on deep data analysis. This study provides a new optimization method for blended physical education teaching model and provides a strong theoretical support and empirical basis for the future teaching model reform. © 2024 U-turn Press LLC.