Delphi Method Combined with Computer-Assisted Teaching of Information Fusion to Explore Intelligent Physical Education in Colleges and Universities

Author:

Liu Mingcan1ORCID

Affiliation:

1. Department of Sports, Civil Aviation University of China, Tianjin 300300, China

Abstract

The research aims to provide ideas for improving college students’ physical quality in China. Firstly, the theories of the Delphi method and Computer-Aided Instruction (CAI) are introduced, and the basic process of the Delphi method is deduced. Secondly, the intelligent college Physical Education (PE) is discussed under the Delphi method combined with CAI, and the CAI-added Delphi method-based PE teaching model is proposed. The model verification results show that the proposed model presents an excellent teaching effect by combining intuitive expression and flexible courseware with higher teaching efficiency. As a result, students who have difficulty mastering the essentials of sports actions have shown significant improvement after CAI PE. Meanwhile, the teaching method of CAI is more flexible compared with traditional methods, especially, on-blackboard projection. The proposed teaching model is more vivid and memorable thanks to the video presentations voiced over by teachers. CAI can significantly improve students’ interests in sports and their sports performance. Meanwhile, the CAI PE teaching system is more suitable for theoretical knowledge instruction by replacing the dull teacher-centered word interpretation with vivid and intuitive video presentations voiced over by teachers. Therefore, the proposed CAI-added Delphi method-based PE teaching model has certain feasibility and plays a significant role in promoting PE teaching quality in China.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design and Application of Intelligent Teaching and Training System for College Basketball Based on 3D Motion Recognition Technology;Applied Mathematics and Nonlinear Sciences;2024-01-01

2. Teaching Physical Fitness and Exercise Using Computer-Assisted Instruction;Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines;2023-03-17

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