It is difficult for the normal PE (physical Education) to arouse students' interest in PE, resulting in low participation in sports activities and inability to exercise. It is essential to enhance the effect of PE in universities. To arouse students' interest in physical education, school have organized physical education classes. By using the ID3 decision tree algorithm to compare students' comprehensive abilities in traditional teaching and intelligent teaching, it can be concluded from relevant sample tests that logic, music, and interpersonal communication had the highest T-test values, which were 4.625, 4.827, and 4.708, respectively. The data results of intelligent teaching had significantly improved compared to traditional teaching. The comparison between traditional teaching and intelligent teaching showed that through intelligent teaching, students have significantly improved their intelligence in language, music, and interpersonal communication. However, there has been little progress in the three dimensions of logical intelligence, spatial intelligence, and motor intelligence.

Wanli Deng, Maria Luvimi Casihan. Construction of Intelligent Teaching Decision System for College Physical Education Based on Big Data Analysis. Frontiers in Sport Research (2023) Vol. 5, Issue 8: 35-40. https://doi.org/10.25236/FSR.2023.050807.

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