2023, Volume 19
The impact of artificial intelligence vision technology on the learning interest of wushu duanbing students in China
Haidong Chen1, Lianzhen Ma1, Feixue Rao1
1School of Physical Education and Sports Science, South China Normal University, Guangzhou, China
Author for correspondence: Haidong Chen; School of Physical Education and Sports Science, South China Normal University, Guangzhou, China; email: email@example.com
Background and Study Aim: The computer vision, it belongs to the field of artificial intelligence (AI). Programs in this field try to recognize objects in digitized images provided by cameras so that the computer can "see" them. Much work has been done on visual information processing with the help of deep learning and neural networks. Computers can acquire large datasets of graphical images and identify features and patterns from them to apply these techniques to other images. Many processes, such as facial recognition and augmented reality, rely on computer vision techniques. This study aims is knowledge about there are effects the application of artificial intelligence visual technology in martial arts teaching and promote the innovative development of duanbing teaching content and form.
Material and Methods: Using artificial intelligence visual technology combined with sports technology action evaluation indicators, case analysis, and mathematical statistics, the experimental verification was conducted in the Chinese duanbing technology teaching process at a school in southern China. The subjects of our teaching experiment were 60 5th-grade level students from a school in Shantou City, divided into the experimental group consisting of 30 students and the control group consisting of another 30 students. Inclusion criteria: (1) those who voluntarily participated and could actively cooperate with this experiment; (2) those who could complete all the test items. Exclusion criteria: (1) patients with contraindications to exercise. Exclusion criteria: (1) subjects who became physically unwell during the experiment; (2) who were poorly compliant and did not obey the experiment.
Results: Students using artificial intelligence visual recognition technology had a significantly higher mastery of Chinese duanbing technology than the control group. Furthermore, the technology can effectively help students autonomously correct technical actions and promote the establishment of accurate movement performance. At the same time, this technology also effectively improved students' interest in learning short weapon techniques.
Conclusions: The findings suggest that interactive and personalized learning using AI visual technology can increase students' engagement and willingness to participate in physical education classes. Transforming learning materials into exciting and interactive formats, such as games or puzzles, can captivate students' attention and increase their interest in learning. As AI technology continues to evolve, there will likely be further opportunities to enhance the learning experience for students through innovative applications of AI visual technology.
Key words: computer vision, conventional teaching condition, martial arts, behavioral performance