Research on the Application of Decision Tree Algorithm in Practical Teaching of Public Physical Education in Colleges and Universities

Abstract

This paper discusses the application of “decision tree” reasoning in the practical teaching of Public Physical Education in Colleges and universities. Decision tree algorithm is widely used in education, which has strong functionality and expression ability. However, it is less applied in public physical education curriculum, and the research results are insufficient. The research results are incomplete and one-sided, which is not conducive to the promotion of this method in physical education teaching. This is not conducive to the correct training of college physical education teachers. This paper uses decision tree and related rules to build a practical teaching system of Public Physical Education in Colleges and universities, and examines the relationship between teachers’ personal factors, teaching practice factors and teaching effects, which provides a decision-making basis for teaching evaluation methods. The relevant factors are comprehensively analyzed. Improve the quality of physical education in Colleges and universities, enrich the teaching materials of physical education teachers in Colleges and universities, and more effectively promote the healthy development of physical education.