AI-Based Transformation of Global Sports and Education: Integrating General and Special Education, Mainstream and Adaptive Sports, Personalized Training, Fitness and Athlete Development for the Future

Abstract

Artificial intelligence (AI) is a growing force in the world of education, sport science, fitness, coaching and athlete development. This could be used in adaptive learning systems, accessible learning resources, motion analysis, workload monitoring, risk of injury support, tactical analysis, and individualized training. The article explores the potential of AI in linking general and special education to mainstream and adaptive sport, and the conditions that are required for equitable and responsible implementation. It includes a review of the literature and an illustrative analysis of a set of simulated surveys with 50 records. There are five composite domains in the simulated dataset: personalized learning, inclusive and adaptive sport, fitness and performance, athlete development and ethics/accessibility concerns. The mean scores were between 3.32 and 3.64 on a five-point scale, illustrated. The mean for personalized learning was highest at M = 3.64, SD = 0.68, and the means for ethics and accessibility concerns were at M = 3.32, SD = 0.72. This is not an observation of “real” participants and any conclusions should not be made based on the results. They have been added just to illustrate the possible format for a results section and statistical tables. AI has been suggested to assist in personalization, feedback, analysis, and accessibility, but the advantages are contingent upon the accuracy of the data, the professional oversight by the designers, the inclusivity of the design, maintaining user privacy, making the system transparent, and ensuring equal opportunities for access. Ir further research should be conducted with real subjects and methodological procedures that are ethically approved, to test these applications.