AI Interactive Scenarios Develop Core Skills And Tactical Decisions In Basketball

General Background Artificial intelligence (AI) transforms physical education by replacing mechanical drills with dynamic situational training environments. Specific Background Traditional basketball instruction relies on isolated repetition, severely limiting students' adaptive motor skills during real-game tactical situations. Knowledge Gap Empirical evidence remains limited regarding how AI-powered interactive scenarios specifically affect fundamental motor skill acquisition and tactical decision-making speed among physical education students. Aims This study assesses an 8-week educational program utilizing AI interactive scenarios to improve basic basketball skills and accelerate tactical decision-making in university students. Results Analysis of 60 students via ANCOVA and repeated measures ANOVA revealed that the AI experimental group achieved statistically superior skill performance and significantly reduced decision-making times (from 840 to 510 milliseconds) compared to the control group. Novelty This research confirms that substituting linear instruction with nonlinear AI simulations decisively accelerates the cognitive-motor coupling required for rapid athletic decisions. Implications Physical education faculties should integrate AI-powered digital laboratories and adaptive scenarios into curricula to better prepare students for complex team sports. Highlights: Traditional isolated skill drills create a substantial deficit in students' ability to make rapid tactical decisions during dynamic basketball games. AI-powered interactive scenarios successfully reduced students' tactical decision-making response times from 840 to 510 milliseconds. Integrating digital simulations directly accelerates the cognitive-motor coupling required to seamlessly translate fundamental skills into functional game responses.