Esports has rapidly evolved into a global phenomenon, generating new demands for innovative and evidence-based training frameworks that integrate psycho-pedagogical principles with emerging artificial intelligence (AI) technologies. This paper proposes a holistic approach to the education and development of esports athletes by combining human-centred learning theories with intelligent, adaptive training systems. Psychopedagogical models offer valuable insights into motivation, cognitive development, self-regulation, and inclusive learning processes, while AI-powered tools provide personalized feedback, real-time performance monitoring, and cognitive load adaptation. These two domains foster technical mastery and long-term personal growth in esports athletes. Drawing on recent interdisciplinary research and international case studies, the article highlights how AI-enhanced pedagogical strategies can improve engagement, optimize skill acquisition, and promote sustainable career pathways—including dual academic-athletic trajectories and support for players with disabilities. In order to ensure practical relevance, the paper concludes with a structured implementation framework designed for coaches, educators, and esports organizations. This practical schema guides designing, delivering, and evaluating AI-integrated training programs that align with psycho-pedagogical best practices. It aims to facilitate the development of inclusive, personalized, and ethically grounded learning environments within the dynamic context of competitive gaming.
AI-Enhanced Psychopedagogy for Esports Athletes: A Global Approach to Education, Well-Being, and Competitive Success
Isidori E
2025-01-01
Abstract
Esports has rapidly evolved into a global phenomenon, generating new demands for innovative and evidence-based training frameworks that integrate psycho-pedagogical principles with emerging artificial intelligence (AI) technologies. This paper proposes a holistic approach to the education and development of esports athletes by combining human-centred learning theories with intelligent, adaptive training systems. Psychopedagogical models offer valuable insights into motivation, cognitive development, self-regulation, and inclusive learning processes, while AI-powered tools provide personalized feedback, real-time performance monitoring, and cognitive load adaptation. These two domains foster technical mastery and long-term personal growth in esports athletes. Drawing on recent interdisciplinary research and international case studies, the article highlights how AI-enhanced pedagogical strategies can improve engagement, optimize skill acquisition, and promote sustainable career pathways—including dual academic-athletic trajectories and support for players with disabilities. In order to ensure practical relevance, the paper concludes with a structured implementation framework designed for coaches, educators, and esports organizations. This practical schema guides designing, delivering, and evaluating AI-integrated training programs that align with psycho-pedagogical best practices. It aims to facilitate the development of inclusive, personalized, and ethically grounded learning environments within the dynamic context of competitive gaming.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

