The role of artificial intelligence in structuring youth athletic training: implications for personality and motivational development

BACKGROUND: This study examines the impact of AI-based training approaches on young athletes' motivation and personality traits. The analysis focuses specifically on graded training programs developed using artificial intelligence. METHODS: The study involved 72 athletes from different provinces of China aged 16-18, divided into equal experimental and control groups. For the control group, graded training programs were developed using AI with the participation of a coach and a physician. Motivation and personality structure were studied using two tools - GLOBAL MOTIVATION SCALE (GMS-28) and The Big Five Personality Test (BFPT). A survey was conducted before and after the intervention using AI for 2 months. RESULTS: The results of the study indicate a consistent increase in the experimental group in the level of assessment of all motivation components, except for Amotivation and all five elements of the Big Five. But compared to the control group, only the indicators of Conscientiousness and Openness to Experience of the Big Five elements increased, which indicates the nature of the impact of increased training efficiency and the use of new technologies as a stimulus for openness, involvement and persistence in achieving a more clearly perceived and achievable goal. CONCLUSIONS: A high correlation was noted between the number of grades received during training and one of the types of external motivation, which indicates a significant dependence of young athletes on the impact of the team and the coach. In practice, the obtained results can be implemented for designing a long-term beneficial effect of training programs and sports management using AI on the personality of young athletes.