Analysis Method of College Student Physical Education Quality Based on Big Data Analysis

Abstract

The importance of physical education as an important part of higher education is self-evident and has great value for improving the physical fitness of college students. According to the requirements of the new curriculum standards, “health first” as the guiding ideology of physical education requires constant attention to individuals to ensure that every student benefits. However, college students have frequent accidents due to their physical fitness, and the quality of college students’ physical education is the direct reason that affects their physical fitness. However, the traditional method of analyzing the quality of college students’ physical education lacks certain certainty. Based on this, this paper uses data mining methods, content, attitudes and methods of physical education, and combines big data analysis to establish a method that can deeply analyze the quality of physical education of college students. In order to analyze the quality of physical education of college students, most existing methods Based on the empirically determined weights and the lack of scientific and theoretical foundations, a comprehensive and comprehensive evaluation method based on the evaluation model of physical education teaching quality is proposed. Experimental results show that the algorithm can accurately reflect the quality of physical education, and at the same time achieve the goal of accurate determination of the quality of physical education. Compared with the traditional analytical method of teaching quality, the algorithm can effectively guarantee the quality of physical education of college students.