Effects Of Leveraging Fuzzy Logic And Artificial Intelligence On Sports Coaching Efficacy: The Mediating Role Of Adaptive Training Models

Abstract

This study explores the integration of fuzzy logic and artificial intelligence into sports coaching, focusing on their effects on enhancing coaching efficacy. As sports continue to evolve into data-driven domains, the application of intelligent systems offers significant potential to revolutionize coaching strategies. The study hypothesizes that AI-powered adaptive[1] models enable coaches to tailor training programs dynamically based on real-time data and athlete performance, increasing coaching effectiveness. By analyzing coaching interventions across range of sports, investigation evaluates impact of AI on decision-making, strategy formulation and athlete feedback mechanism.

The population of study includes all male athletes from higher education institutions of central Punjab, Pakistan. The results confirm that artificial intelligence and fuzzy logic pointedly enhance coaching efficacy and data-informed decision-making. The study concludes that integrating these technologies in coaching not only improves performance outcomes but also fosters more efficient and flexible training environments. Practical implications include the need for coaches to develop technical expertise in AI systems and standing of continuous technological innovation in sports coaching. The research underline’s transformative role of AI in advancing coaching methodologies in the digital age.