ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN TEACHING PHYSICAL EDUCATION TO IMPROVE THE PERSONAL ACADEMIC RESULTS AMONG UNIVERSITY STUDENTS

Kulikova Maria Viktorovna, Gezha Roman Valerievich, Nyurksne Larisa Alekseevna

The research relevance is due to the latest trends in the digitalization of education and, in particular, the need to search for new effective ways to improve the academic performance of university students. The research goal is to systematize scientific and pedagogical approaches to improving the academic performance of students using artificial intelligence technologies in teaching physical education at a university. Achieving this goal, we solved the following tasks: studying the impact of the developed methods on the physical condition, cognitive functions and academic performance of students, analyzing the existing literature on the use of artificial intelligence technologies in education, including in the field of physical education, as well as assessing the effectiveness of using AI to personalize physical education at the university. The research methods include the historiographical analysis of scientific literature, systematization, generalization, comparison, and the formal-logical method. The experience of pedagogical observations reflected in empirical studies of domestic and foreign authors was also analyzed. Based on the results, the following conclusions were formulated: the introduction of artificial intelligence technologies in the teaching of physical education makes it possible to create an individual training program that takes into account not only the current level of physical training, but also to predict the predisposition to various sports, the risk of injury, personal preferences and much more.

Keywords:artificial intelligence, physical education, physical education, academic performance, personal academic results.