Graduate School, Shandong Sport University, Jinan, 250102 Shandong, China.
School of Wushu, Shandong Sport University, Jinan, 250102 Shandong, China.
Biomed Res Int. 2022 Aug 17;2022:4418606. doi: 10.1155/2022/4418606. eCollection 2022.
With various social pressures and the lack of knowledge about physical health, students have poor physical education quality and insufficient knowledge acquisition about physical health. Traditional physical health teaching is a process in which the teacher tells the theory of physical health and students passively accept it, which leads to physical health problems such as low learning efficiency of students' physical health knowledge and low interest in learning physical health knowledge. With the emphasis on physical health teaching and the development of technologies such as machine learning, machine learning is used to analyze the problems of physical health teaching and help students to learn physical health better to improve the efficiency of physical health teaching. The results of this paper show that the machine learning-based physical education and traditional physical education can reduce the injury rate of students' sports by 7.7% compared with traditional physical education, make students' interest in physical education and health learning reach 53.3%, and improve the efficiency of physical education and health learning. There is a degree of students' acquisition of physical health knowledge. The change from traditional physical health teaching ideology to machine learning-based physical education ideology can improve the teaching efficiency of physical health teaching, allow students to acquire more physical health knowledge, and effectively reduce the risk of students' injuries in sports.
由于各种社会压力以及对身体健康知识的缺乏，学生的体育素质较差，对身体健康知识的获取也不足。传统的体育健康教育是一个教师讲授体育健康理论，学生被动接受的过程，导致学生学习体育健康知识的效率低下，对学习体育健康知识的兴趣不高。随着对体育健康教育的重视和机器学习等技术的发展，机器学习被用于分析体育健康教育中存在的问题，帮助学生更好地学习体育健康知识，提高体育健康教育的效率。本文的研究结果表明，与传统体育健康教育相比，基于机器学习的体育健康教育可以将学生运动损伤率降低 7.7%，使学生对体育健康学习的兴趣达到 53.3%，提高体育健康学习的效率，学生对身体健康知识的获取程度也有所提高。从传统的体育健康教育思想向基于机器学习的体育教育思想的转变，可以提高体育健康教育的教学效率，让学生获取更多的身体健康知识，有效降低学生在体育运动中的受伤风险。
