Natalya D. Ligostaeva

The use of artificial intelligence (AI) in sports programs is becoming a trend of the last decade. The introduction of modern technologies allows you to increase the motivation of students for physical education and sports, improve the results of their training and reduce the risk of injury. The study of the issue is especially relevant now when, in the context of the rapid development of AI and changes in the requirements for training specialists in the field of physical education and sports, there is a need to introduce modern approaches and methods into the educational process. Artificial intelligence has been used in professional sports for several years, allowing us to increase the efficiency of both team and individual training. Its use in the educational process at universities will help to significantly improve the quality of education and motivate students to keep playing sports after graduation from the educational institution. The aim of the study is to develop a methodology for introducing AI into the educational process within the discipline "Physical Education and Sports" (FEaS) in universities of the Samara region. An in-depth analysis of the scientific literature on the issue of introducing AI into learning processes was made, and an experimental study was conducted. As part of the experiment, the participants were divided into two groups: one kept exercising within the framework of the traditional educational process, the second actively used AI to create an individual training plan for each student. Based on the results of the study, a number of proposals were developed to introduce web resources using artificial intelligence, mobile applications and wearable devices into the educational process. This will reduce the risk of injury during training, improve the individual performance of students and increase their involvement due to gamification. The theoretical significance of the study lies in the developed methodology for teaching students sports disciplines using modern mobile applications based on AI as an analogue of the current training programs for physical education and sports. The practical significance of the study lies in the potential to use modern technologies to build new learning processes, to increase youth interest in FEaS, to reduce the risks of injuring students during exercises and find more effective training options, taking into account the individual characteristics of each student.