Abstract
This article explores the effectiveness of individual training plans for various fitness purposes using artificial intelligence (AI) technologies in the training of future physical education teachers. Modern higher education is in the process of digital transformation, and one of the main directions is the use of artificial intelligence to personalize the educational process. Traditional teaching methods do not take into account the individual characteristics of students, their level of training, the speed of learning and acceptable forms of learning. The introduction of AI into the education system opens up new opportunities for creating customized curricula tailored to the needs of each student. Our study examines the approaches of future physical education teachers to developing individual learning trajectories using machine learning algorithms and neural network models. The main AI mechanisms contributing to the automatic formation of proposals for educational materials and the sequence of assimilation of their complexity are considered. The purpose of the study is to analyze the impact on academic performance when making individual training plans. The research methods include a review of scientific literature, a study of an experiment organized in the construction of individual exercises for students. The study showed that students using customized learning and learning systems based on AI showed 15% higher results compared to the control group that studied the traditional methodology. And 78% of teachers noted the convenience of working with adapted educational technologies and their potential benefits in the educational process. In a study of individual exercises, 25 people were divided into four main groups: weight loss, increased muscle mass, improved endurance, and improved overall health. Special training programs have been created based on AI, taking into account the individual goals and health indicators of each participant. The results of the experimental group were significantly higher compared to the control group: body weight, muscle mass, endurance, and calorie consumption increased. The results of the study showed that individual exercise programs created with the help of AI are effective in improving the physical condition of participants. It promotes individual learning, improves academic performance and optimizes the work of teachers by introducing AI into the training of future physical education teachers in higher education institutions.