Utilizing Virtual Reality and Online Gaming for the Construction and Application of Distance Physical Education Teaching Window in Emergency Situations

Abstract

The contemporary education community has been trying to use video games or game elements in teaching in recent years. The pioneers in this field have tried to improve the quality of education by means of educational games or gamified teaching, but it has been difficult to be widely promoted for various reasons. In recent years, attempts have found that although there are certain advantages over educational video games and gamified teaching, like the former, there are still considerable difficulties in popularizing them in practice. Therefore, this paper proposes a learning structure design based on the big data video game task mode, hoping to make the learning process really arouse the learners' interest in learning, achieve good learning results in a relaxed and focused learning atmosphere, and achieve unsupervised high efficiency. Self-learning. Finally, the F1 value of simple teaching resources is increased by 8.6% on average compared with the other four algorithms, and it can reach 0.888 when the test set is 10%; when recommending complex teaching resources, the F1 value is increased by an average of 5.6% compared with the other four algorithms. It can reach 0.958 at 10% of the test set. The above data show that the CUPMF method can effectively improve the recommendation accuracy and improve the recommendation effect.