Research on the Application of Artificial Intelligence Video Feedback System in College Basketball Shooting Teaching

Objective: To test the effect of the artificial intelligence video feedback system in the basketball shooting teaching in Colleges and universities. Methods: 24 male basketball players from XX University were randomly divided into experimental group (n=12) and control group (n=12). The experimental group and the control group were given shooting learning for 8 weeks. During each teaching period, the experimental group was intervened with 10-minute video feedback system, while the control group was not intervened. Results: After the experiment, the shooting percentage and the performance of action skill evaluation of the experimental group were significantly higher than those before the experiment (p=0. 032<0.05). After the experiment, the control group in the fixed-point shot and jump shot shooting percentage and action skill evaluation results were higher than before the experiment (p=0.158>0.05). After the experiment, the experimental group in the fixed-point shot and jump shot shooting percentage and action skill evaluation results were significantly higher than the control group (p=0. 026<0.05). Conclusion: The application of artificial intelligence video feedback system in college basketball shooting teaching is helpful to: Students can get the action points of shooting technique more richly and intuitively; Help students quickly establish the technical action model and spatial thinking concept of shooting; The correction and consolidation of shooting techniques are more personalized and timely.