Abstract
This comprehensive study delves into the transformative integration of sports science, data analytics, and computer technology in athletic training and education. It highlights the multidisciplinary approach to enhancing athletic performance through evidence-based methodologies, including biomechanical analysis, physiological assessment, and psychological strategies. With a focus on data-driven training methodologies, real-time performance monitoring, educational implications, and the incorporation of ethical considerations, the article showcases how modern technology and data analysis can personalize training programs, optimize performance, and minimize injury risks. Through quantitative analysis and case studies, it demonstrates the significant impact of these integrations on athletic performance metrics, while also addressing the challenges and limitations faced in adopting these approaches. The findings suggest a promising future for sports education and training, advocating for interdisciplinary collaboration and the adoption of data analytics in sports.
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