Innovative Sports Management Strategies Using Artificial Intelligence Technologies to Improve the Performance of Junior Basketball Players in Specialized Schools

Abstract

This research aims to explore and develop innovative sports management strategies based on artificial intelligence technologies to enhance the performance of junior basketball players in specialized schools. The study highlights the importance of adopting advanced methods in training and developing motor skills by effectively utilizing AI tools to improve both individual and team performance.

It emphasizes that using techniques such as motion modeling through virtual and augmented reality, as well as performance analysis using sensors, helps identify players’ strengths and weaknesses. This enables the customization of individualized training programs tailored precisely to the needs of each player. Additionally, machine learning contributes to designing flexible training plans that adapt to players’ progression, achieving tangible results in improving their technical and physical skills.

The study also covers training management mechanisms, including setting monthly and annual training plans, organizing coaches’ work, and enhancing communication between the school, players, and their families to ensure continuous and effective coordination. Moreover, it focuses on ethical and security aspects by applying data protection standards when handling minors’ data to ensure confidentiality, while adhering to the highest levels of transparency in using results for decision-making.

Finally, the study concludes that integrating artificial intelligence technologies into training management significantly contributes to increasing performance efficiency and achieving remarkable improvements in players’ development. This supports the adoption of sustainable strategies that keep pace with technological advancements and strengthen the capabilities of educational and sports institutions to achieve success and excellence in youth training.