The Optimization of Mixed Physical Education Teaching Mode in High-order Complex Network Environment

Abstract

Abstract This paper aims to improve the utilization rate of educational resources and optimize the learning effect through the mixed Physical Education (PE) mode in the high-order Complex Network (CN) environment. In the high-order CN environment, the design scheme of mixed teaching mode is proposed based on various PE teaching modes. Additionally, the dynamic structure of the network topology is further established by formulating the research plan and determining the type weights of boundary points. To optimize the complex interaction between micro and macro behaviors, Sparse Code Multiple Access and Low Density Signature are selected to optimize the transmission and processing efficiency of teaching resources and expand the channel data transmission capacity. Meanwhile, the Convolutional Neural Network model combining the Internet of Things and machine learning is used to comprehensively analyze and simulate the high-order CN environment. Finally, a teaching evaluation and feedback mechanism is established. The actual situation of PE teaching of college students is used as the research data source. The teaching effect and learner satisfaction are monitored and feedback by setting up the experimental group and control group of the teaching mode of the research object. Through the evaluation results, teaching strategies and methods are timely adjusted, and teaching mode is optimized and improved. The results show that the mixed PE mode can improve learners' learning interest and effect compared with traditional teaching and online teaching. Compared with the traditional teaching mode, students' participation in classroom activities can be increased by 15.2%, and the utilization efficiency of educational resources can be increased by 7.8%. In addition, the establishment of teaching evaluation and feedback mechanisms is very important to optimize the mixed PE teaching model. Therefore, the establishment of teaching evaluation and feedback mechanism can help teachers adjust teaching strategies and methods timely to improve teaching effectiveness and learner satisfaction. This paper provides a useful reference for in-depth discussion on education and teaching optimization.