An exploration of the impact of a health promotion teaching model based on artificial intelligence technology on the physical fitness of physical education students

Along with the vigorous development of artificial intelligence in all walks of life, artificial intelligence technology has become an inevitable trend in the reform and development of physical education. First of all, this study takes constructivist learning, motor skill learning, and blended learning as the theoretical basis, and selects the three major goals of synergy, intelligence, and wholeness as the basis, and preliminarily constructs the theoretical framework of the health-promoting teaching (SCT) model for the professional disciplines of physical education in colleges and universities. Then, using the gray correlation model, the system characteristics behavioral sequence and the related factors behavioral sequence were established, and the similarity and dissimilarity of the development trends of the two sequences of factors indicator sequences were measured to confirm their correlation degree. Finally, through the implementation condition elements and equipment function elements obtained from the gray correlation analysis, the SCT model applicable to physical education courses was designed, and the effect of the application of the SCT model in physical education classes and its impact on the physical fitness of physical education students were explored. It is found that the SCT model is characterized by timely feedback, strong relevance and abundant resources, so the improvement of all the scores of the students in the experimental class is better than that of the control class, and the physical fitness of the students is also improved to a certain extent. It shows that the teaching effect of SCT mode is better than traditional teaching mode, and can be used in general multimedia classroom, which has certain universality and promotion value.