Application of Artificial Intelligence-Based Big Data AI Technology in Physical Education Reform

Abstract

Nowadays, physical education teachers are constantly accepting and absorbing the concepts and ideas of the new curriculum standards, but there are still problems in understanding the new curriculum standards, the selection of teaching content is single, and the content is outdated. In addition, the teaching content and teaching methods of physical education also take the students’ test scores as the ultimate goal and have not really implemented the guiding ideology of “health first,” so the reform of physical education is imperative. This paper starts with the investigation of college students’ online courses and traditional classroom learning and analyzes what requirements these students who have received online courses have on university classrooms. Secondly, through in-depth observation of university classrooms, we can understand the current situation and existing problems of university classroom teaching. Based on the innovative characteristics and advantages of artificial intelligence big data AI technology, this paper designs a smart service platform for smart sports classrooms in colleges. The platform can timely find out the problems existing in the process of students’ physical education so as to solve them in time. Through the comparison between the experimental class and the control class, it is verified that the platform improves the reliability of PE classroom teaching. Judging from the practice density of the 25PE classes observed, the highest practice density reached 57.5%, and the average density was 41.6%. During the interview, we learned that the practice density of most physical education teachers in each class is controlled at about 45%, which is close to the average practice density obtained by the survey. This paper provides a practical basis for the reform of physical education teaching.