College Physical Education Flipped Classroom Teaching Based on Multimedia Network Data Fusion

Abstract

In the Internet age, the challenge to traditional physical education classroom teaching has also reached its peak. Traditional physical education teaching has little effect on students. The proposal of flipped classroom can be said to greatly improve the dilemma of traditional physical education classroom teaching. This article is aimed at studying the exploration of flipped classroom teaching in college physical education. For this reason, this paper proposes a data fusion method based on multimedia network to improve the teaching mode and optimizes the algorithm of similar node clustering based on $K$ -means, to make this algorithm more suitable for the teaching monitoring of flipped classrooms in college physical education. At the same time, experiments and analysis are designed to explore the effects of flipped teaching mode. The experimental results of this paper show that under the new teaching mode, the initiative of college students in physical education classes has increased by 31%, and their interest in learning in physical education classes has increased by 28%. And after applying the new teaching model, the physical fitness of the students has also improved by 14%, and the mastery of physical skills has become more proficient.