Analysis of Artificial Intelligence Technology and Its Application in Improving the Effectiveness of Physical Education Teaching

Abstract

To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and teaching effectiveness assessment tasks. Specifically, first, the joint point location information of the human body in the input image is extracted using the human skeleton analysis algorithm, and modeling the foreground and background pose information of the target region using the Pix2Pix image transformation algorithm; second, multi-scale features such as nodal location features, foreground and background features, high-resolution detail features, and low-resolution global features are fused and the extracted multi-scale features are also decoded with the help of pixel-aligned implicit functions to generate a 3D model of the human body representing the human form.

Plyometric training for physical education university students

“…The impact of combining plyometric exercises with resistance training on sprint performance in college students with different levels of body fat has been compared [58]. Some countries during the pandemic had to integrate 3D classes to teach physical education classes in educational institutions in order not to leave physical training [59] because fitness and physical attitude are important to maintain a mental and health state in good conditions and even more so when dealing with university students who do not have a personal trainer and they are the ones who keep themselves in acceptable physical conditions to lead a healthy lifestyle but are not competitive [60]. Th e trainers using virtual reality or other technologies after conducting research groups on physical training with technologies were not very acceptable because university students prefer face-to-face training [61] because they better understand aspects of morality, sports values and personal values as well as reject all kinds of antisocial behaviors [62].…”

Enhancing Online Teaching Effectiveness Through Computer Vision Analysis of Teacher Expressions and Gestures in Educational Videos

“…This mode of learning not only breaks the limitations of time and space but also greatly enriches educational resources [1][2][3][4]. However, in an online learning environment, teachers cannot directly observe students' reactions, and students find it difficult to intuitively feel the teacher's emotions and teaching enthusiasm, which to some extent affects the teaching effectiveness [5][6][7][8][9]. Therefore, how to use advanced technical means to enhance the interactivity and effectiveness of online teaching has become an important research topic in the field of education.…”