Building an English learning community model assisted by AI and VR technologies

With the further promotion of information technology in universities, the continuous enrichment of online teaching resources, and the continuous standardization of online teaching management, online learning as a main learning method has been increasingly accepted by more and more people. This article selects fuzzy neural networks for modeling and constructs a network learning evaluation system based on the characteristics of network learning evaluation. The English teaching classroom based on artificial intelligence and virtual reality proposed in this article can provide scarce educational resources while improving students' learning outcomes. The experimental results show that the method proposed in this article has a higher level of acceptance among students compared to traditional teaching methods, with a 12.7% higher learning efficiency among students. It is feasible in theory and reliable in practice, and can be used as an intelligent computing model for developing network learning evaluation systems. It has good promotional value and provides a new evaluation method for network learning evaluation.