Development Countermeasures of College English Education Based on Deep Learning and Artificial Intelligence

Abstract

College English education aims at cultivating students' English application ability and promoting the development of students' English communication level. However, at present, many college students still stay in English learning to cope with the examination. The cultivation of oral English and other comprehensive ability is little. Therefore, the development direction of college English education should be based on the actual needs of students in social work and life, and formulate a plan more suitable for contemporary development needs. In this context, to better provide countermeasures for the development of college English education, this paper provides a new English education model based on artificial intelligence (AI), and evaluates students' comprehensive English ability through deep learning (DL). This paper not only constructs a college English teaching model and evaluation system through artificial intelligence methods but also evaluates the quality of English pronunciation through DBN. It also designs comparative experiments, and the consistency between manual evaluation and DBN-based evaluation is obtained. The results show that the English pronunciation evaluation system based on DBN has a high consistency with manual evaluation. Among them, in the speech rate evaluation, the adjacent consistency rate reaches 99.58%, showing that the evaluation model constructed in this paper is effective and verifying the feasibility of applying the artificial intelligence method to college English education.