Application of Virtual Reality Technology in Physical Education Teaching Resources and Student Experience

Virtual reality (VR) technology can simulate real sports scenes and actions, thus providing more accurate assessment of students’ performance. This will help teachers to better understand the students’ skills, so as to provide more targeted guidance. In order to promote the application of VR technology in physical education (PE) instructional resource, this article puts forward a PE instructional resource model based on deep learning (DL), and applies back propagation neural network (BPNN) to the analysis of students’ learning effect. The experimental results show that the assessment model of PE based on BPNN has high accuracy and superiority, and can provide more objective and comprehensive assessment methods and tools for PE. At the same time, this method can also help students better understand their learning progress and shortcomings through real-time feedback and assessment of students’ learning effect, so as to adjust learning methods and progress and improve learning effect. The assessment model of PE teaching based on VR has important theoretical and practical significance, which can provide more scientific and effective assessment methods and tools for PE teaching and improve instructional level and effect.