On innovative strategies of youth sports teaching and training based on the internet of things and artificial intelligence technology from the perspective of humanism

Abstract

Teenagers are the future and hope of the country. Sports play an essential role in promoting their physical and mental health. In the new historical era, the impact of artificial intelligence on sports is deepening. The application of network technology in youth sports can improve sports efficiency in the traditional environment, effectively promote the autonomy of young students in learning sports, and positively impact the realization of sports life. Further, this paper incorporates reinforcement theory, associative learning, and self-determination theory to explore the factors influencing youth sports participation more deeply. Through experimental analysis, this paper has understood the factors, characteristics, and differences that affect youth sports participation, analyzed the relationship between various factors and youth sports participation, constructed a structural equation model suitable for promoting youth sports participation, and finally took the Unified Theory of Acceptance and Use of Technology (UTAUT) model with more substantial explanatory power as the theoretical basis, and added three research variables: perceived fun, situation and trust. To establish the influencing factors model of teenagers' continuous participation in sports. The experimental results show that the optimized UTAUT model provides optimization ideas and technical support for youth sports training innovation, its error rate is reduced by 5%, and the average variance index is higher than 21%.