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Exploration of the Path to Improve the Quality of Physical Education Teaching in Colleges and Universities with the Help of VR Technology

 et    | 05 août 2024
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VR technology, as an emerging frontier technology in recent years, has been applied in many fields, in which in the field of education, the technology has gradually entered the education classroom and played a great advantage. In order to promote VR technology comprehensively and help develop college education, this study explores the path to improve the quality of college physical education teaching using VR technology. Firstly, we review the relevant research data, select the relevant factors affecting the quality of physical education teaching, and explore the path to improving the quality of physical education teaching in colleges and universities through correlation analysis and structural equation modeling. On this basis, a VR-based innovation model of college physical education teaching is developed, and a comparison experiment is designed to study the effect of VR technology in helping to improve the quality of college physical education teaching. The five dimensions of the five factors: knowledge skills, teaching content, interest fit, VR input experience, and teaching method all have a significant positive correlation (p<0.01) to the quality of VR sports teaching in colleges and universities. The highest correlation coefficient is interest fit (r=0.345), followed by VR input experience (r=0.308). At the same time, through the teaching comparison experiment, it can be seen that the class based on the VR sports teaching of this paper is better than the traditional sports teaching mode in terms of physical quality and sports teaching effect, and P is less than 0.05. The VR sports teaching mode constructed in this paper can effectively improve the physical quality of the students, improve the level of sports teaching, achieve the effect of auxiliary teaching, and provide an effective path for the enhancement of the quality of sports teaching in colleges and universities.

eISSN:
2444-8656
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics