Analysis of Development Paths for Intelligent Sports Education Based on Artificial Intelligence

This study analyzes the development paths for intelligent sports education based on artificial intelligence. The article explores four main development paths: the construction of intelligent sports teaching platforms, the development of motion recognition and assessment systems, the creation of virtual reality training environments, and the generation of personalized training programs. The study elaborates on the key technological implementations of these paths, including data collection and preprocessing, application of artificial intelligence algorithms, and edge computing and real-time processing. Through experimental design and validation, the feasibility and effectiveness of these paths are analyzed. The results show that these intelligent development paths can significantly enhance students' skill levels and learning engagement but also face challenges such as high initial investment and substantial teacher training requirements. This research provides a theoretical basis and practical guidance for the intelligent transformation of sports education, which is of great significance for advancing the modernization of sports education.