Innovation of English Translation Teaching Mode in Virtual Reality Environment

Abstract

Abstract English translation teaching is often neglected to create a real situation and leads to the teaching failing to highlight the student’s main position. With the help of VR technology to carry out English translation, teaching can effectively solve the above problems. In this paper, on the basis of analyzing the effective application of VR technology, we have established an English translation immersion teaching mode and set up an immersive English translation teaching environment. Based on the students’ learning data of the virtual platform, the DKVMN model is used to assess the student’s knowledge mastery, and the DTW-FCM algorithm analyzes the students’ online learning behaviors to construct a learner portrait. Based on learner profiles, knowledge graphs are combined to obtain the learning degree of learners so as to achieve personalized learning path recommendations for English translation courses. The list of English translation teaching content exercises generated using the DKVMN model is 0.884 in accuracy, and the mean value of the personalized learning paths generated by this paper’s method is 27.04 in terms of the translation of the personalized learning paths to the real paths, which is 28.35% lower than that of the PageRank algorithm. Group A scored 42.41 points after the teaching experiment, which is 25.51% higher than that of class B. Class A’s students have a higher average value for the immersive teaching environment, with an overall satisfaction mean of 4.6 points. Using VR technology to create an immersive learning environment can help students improve their English translation and expression skills, as well as their English intercultural communication skills.