Feasibility on the Integrated Teaching Method of Machine Learning Algorithm inside and outside Physical Education Class

Abstract

School education, especially physical education, directly undertakes the tasks of “student physical fitness” and “student health promotion.” In the context of the policy to further strengthen quality training and promote education in all aspects, it is explicitly pointed out that “a sound physical fitness is a primary demand for serving the motherland and the country as a result of youth, and it reflects the vitality of the Chinese nation.” Therefore, the implementation of the National Physical Education Curriculum Guidelines and curriculum criteria for sports for Chinese College Students is the primary task of physical education. This study proposes machine learning-based teaching methods as an integrated teaching method inside and outside physical education. After conducting research and experiments on it, the experimental data show that after machine learning improves the integrated teaching of sports inside and outside, 50.51% of students are satisfied with the teaching, 40.4% are relatively satisfied, 6.06% feel average, and only 6.06% are dissatisfied. Compared with the previous part, the satisfaction rate has increased by 16.51%, the more satisfaction rate has increased by 4.4%, and the dissatisfaction rate has decreased by 16.97%. The practice has proved that the implementation of comprehensive teaching based on machine learning in physical education, integration of a student-led approach with a teacher-led role, promotes students’ interest in sports and improves students’ health concepts, which is in line with the current development trend of physical education.