This article discusses how to use artificial intelligence technology to design a personalized sports flipped classroom to promote the effectiveness and interest of students’ sports learning. The innovation of this article has the following three points: this article uses artificial intelligence technology to design a personalized sports flipped classroom, generating personalized learning portraits, learning contents and learning paths based on multi-dimensional data such as students’ physical health, motor skills, and interests and preferences, so as to realize the high degree of personalization, intelligence, and high efficiency in sports teaching. The personalized sports flipped classroom in this paper aims to guide students to independently pre-study personalized and customized sports learning content before class, cultivate their self-study ability and interest motivation, while focusing on practical interactions in class, carrying out rich and diverse personalized sports practice activities, improving sports skills, developing sports literacy, and improving classroom efficiency and learning satisfaction. This paper verifies the effect of artificial intelligence-driven personalized sports flipped classroom design, through the two-group design of the experimental group and the control group, respectively, the two groups of students carried out a 12-weeks physical education teaching experiment, and before and after the experiment, the two groups of students conducted tests and questionnaires in the areas of physical education skills, physical fitness, learning interest, and learning satisfaction, to compare the differences in the effect of the two teaching modes, and the results show that the two teaching modes based on the results show that the personalized physical education flipped classroom model based on artificial intelligence is better than the traditional physical education teaching model in all aspects, and has significant teaching effects.
Chen et al. (Wed,) studied this question.