Abstract
College students are taken as the research sample, with the purpose of exploring the characteristics of physical exercise and health education path of students under artificial intelligence (AI) algorithm. First, related literature is studied to understand the physical education system of college students. Then, the current situation of physical exercise of college students is investigated through the interview survey, and the mathematical statistics method is used to analyze the survey results. Moreover, the necessity and paths to carry out health education are discussed through the analysis of the physical exercise behavior of college students. Finally, the college smart sports classroom (SSC) is constructed using AI and the big data analysis method. The experimental results indicate that more than 50% of college students can actively participate in physical exercise. Besides, boys are more likely to take dangerous coping behaviors, while girls are more prone to choose to resist coping behaviors. In addition, there is little difference in age of the distribution of different coping behaviors in physical exercise. Freshmen are more inclined to take risky coping behaviors, and the quantity of students taking resistant coping behaviors increases with the increase of grades. Therefore, relevant physical health education for college students can promote the good habit of health exercise. This study can provide a reliable experimental basis for the development of sports education in the future.
Highlights
With the rapid development of science and technology today, the material life of people has been greatly improved
The innovation lies in the combination of artificial intelligence (AI) and college physical education curriculum, which improves the quality of the college physical education curriculum and provides new research ideas for the physical and health education of college students
The results showed that the fixed posture of the thigh and spine is similar to the correct recognition of physical exercise (Peeters et al, 2019), and the vibration signal of the spine is more accurate and faster, which means that vibration feedback has the potential application prospects in physical exercises, such as cycling
Summary
With the rapid development of science and technology today, the material life of people has been greatly improved. Big data, IoT, mobile Internet, and other latest scientific information technologies, an intelligent, interoperable, efficient, and scientific teaching environment can be created. It is a transformation and upgrade of traditional classroom teaching methods, realizing the online push of network classroom resources, and visualized dynamic analysis of learning data, real-time communication between teacher and student, and timely evaluation (Kulikowski, 2019). The necessity and path of health education are discussed based on the analysis of the physical exercise behavior of college students. The innovation lies in the combination of AI and college physical education curriculum, which improves the quality of the college physical education curriculum and provides new research ideas for the physical and health education of college students
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