The Application of Artificial Intelligence Video Feedback System in Tennis Teaching in Colleges and Universities

Jianjian Lin, Jie Song, Lihong Sun
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Abstract

Objective: To test the advantages and disadvantages of the system through the intervention of artificial intelligence video feedback system in college tennis teaching. Methods: 64 male and female students of school tennis team in XX University were randomly divided into two groups: the experimental group (n=32) and the control group (n=32). The experimental group and the control group had eight weeks of tennis learning (The same learning content), during which the experimental group had video feedback system intervention. Results: 1) The scores of the forehand and backhand batting techniques and the movement technique evaluation in the experimental group were significantly better than those before the experiment (p<0.05). 2) The control group was significantly better than the control group (p<0.05). 3) After the experiment, the test group was significantly better than the control group (p<0.05).Conclusion: The application of artificial intelligence video feedback system in college physical education is helpful to: 1) Students are richer and more intuitive to acquire learning knowledge. 2) Help students to establish action model and spatial thinking concept faster. 3) The correction and consolidation of technical actions are more personalized and timely.
人工智能视频反馈系统在高校网球教学中的应用
目的:通过人工智能视频反馈系统对高校网球教学的干预,检验该系统的优缺点。方法:将XX大学学校网球队64名男女学生随机分为实验组(n=32)和对照组(n=32)。实验组与对照组进行8周的网球学习(学习内容相同),其间实验组进行视频反馈系统干预。结果:1)试验组学生正反手击球技术得分和运动技术评价得分均显著高于实验前(p<0.05)。2)对照组显著优于对照组(p<0.05)。3)试验结束后,试验组显著优于对照组(p<0.05)。结论:人工智能视频反馈系统在高校体育教学中的应用有助于:1)学生对学习知识的获取更加丰富和直观。2)帮助学生更快地建立动作模式和空间思维概念。3)技术动作的纠正和巩固更加个性化和及时性。
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