AI-DRIVEN TRAINING CUES FOR IMPROVING STUDENT-ATHLETE SKILL LEARNING

The use of Artificial Intelligence is growing in the field of sports training, and it is slowly becoming a useful support system for Physical Education teachers and student–athletes. This study examined how AI-based training cues, such as simple motion alerts, skill correction messages, and real-time feedback, can help young learners improve their sports techniques. The work also looks at how students respond to these cues in terms of focus, motivation, and confidence during practice sessions. The paper is based on a review of recent developments in AI tools used in training, along with observations from regular Physical Education settings. The findings suggest that AI cues make learning clearer, reduce common errors, and provide more personalised support for each student. This approach can help both teachers and coaches guide skill learning in a better and time-saving manner. Overall, the study shows that AI-driven cues have good potential to improve student–athlete performance and can be used safely and effectively in schools and colleges.