IAST-A Model for Teaching Chinese as a Foreign Language Based on Fuzzy Neural Network Algorithm and Cloud Computing

Considering the proportion of stylistic skills in language communication, this article combines the characteristics of Chinese and needs to establish a correct positioning in teaching Chinese as a foreign language. The IAST-A (Interaction Audio-Video Share Text Activities) model constructed in this article uses social networks as a medium, and its core element is “activity”. This project requires mastering Chinese listening, speaking, reading and writing skills, but also emphasizes the ability to communicate in Chinese. The Chinese as a Foreign Language Education System based on cloud computing in this article refers to the combination of English education and English education based on cloud technology, making English education more intelligent, conducting listening teaching through cloud platforms, and conducting multi-channel interactive learning. This paper uses fuzzy neural network method to evaluate the quality of teaching, including the evaluation of teachers, students, and teaching managers. In this article, the proportion of students in the first 80–90 score range using the IAST-A model is 8.4%, while the proportion of students in the 80–90 score range after using the model is 43.5%. This reflects the effectiveness of the IAST-A model for teaching Chinese as a foreign language in this article.