Optimization of Multimodal Japanese Teaching Model Using Virtual Reality

Abstract

The potential of virtual reality technology to aid education is well acknowledged. It has already been implemented in at least 20 public schools and institutions, with many more participating in assessment and research initiatives. The proposed methodology is to use virtual reality technology in Japanese teaching in order to create an immersive virtual teaching environment for the learners. They can see and hear Japanese teaching through visual, auditory, tactile, and other senses. They can also interact through virtual reality. The objects simulated by this technology interact with each other, thus creating a feeling of living in a super world. The products of virtual reality technology can be used as a new tool for learning the Japanese language. On the one hand, the advantages of virtual reality technology are assisting Japanese teaching and training due to its immersive, interactive, and systematic characteristics. On the other hand, we can use multimodal data fusion to make the data sources more diversified and optimize the Japanese teaching model through virtual reality technology. In addition, more effective and interesting teaching methods provide references for others. The experimental results show that our multimodal fusion BP (backpropagation) neural network algorithm provides a better result than the single decision tree algorithm and support vector machine algorithm.