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International Journal of Sports Technology, 2023, 4(1); doi: 10.38007/IJST.2023.040103.

Computer Aided Teaching System for Football Teaching and Training Based on Video Image

Author(s)

Qingwei Wang

Corresponding Author:
Qingwei Wang
Affiliation(s)

School of Physical Education, Harbin Huade University, Harbin, China

Abstract

With the improvement of instructive changes, PC media innovation has been increasingly more broadly utilized in current training and readiness. The development of new media first depends on our cognition and grasp of the Internet. New media innovation is a new media innovation concept formed on this basis: Internet thinking and "Internet +". In addition, teachers generally feel the adaptability and proficiency that modern multimedia technology brings to education. Multimedia technology can allow students to obtain more knowledge and information in a shorter period of time, ensuring that students can learn complex learning in a simple and easy-to-understand mode. This paper focuses on the application of AI (artificial intelligence) in football teaching and puts forward the related ideas of AI, neural network and computer-aided teaching. This paper embraces the exploration techniques like writing information strategy and numerical measurement strategy, and behaviors as an overview and examination by giving surveys to educators and understudies partaking in open actual instruction classes in a specific college. The experimental results show that 23.3% of the total students think that CAI has a promoting effect on the mastery of knowledge and skills, while only 12.8% of the total students think that it has no promoting effect. Therefore, CAI teaching can undoubtedly promote physical education teaching and improve students' learning efficiency.

Keywords

Artificial Intelligence, Football Teaching and Training, Computer-Aided Teaching, BP Neural Network, Video Image

Cite This Paper

Qingwei Wang. Computer Aided Teaching System for Football Teaching and Training Based on Video Image. International Journal of Sports Technology (2023), Vol. 4, Issue 1: 32-48. https://doi.org/10.38007/IJST.2023.040103.

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