The Application of Artificial Intelligence in Computer-Assisted College English Teaching Tasks

Abstract

With the continuous improvement of the international status of English and the expansion of the scope of English, more and more countries have carried out English teaching. China is a country that started English education relatively early. Early English education was mainly based on exam-oriented education. It emphasized basic English grammar knowledge and English listening content. It paid less attention to English communication ability. With the advancement of computer technology, computer-aided design has been applied in English teaching. It can display English-related human geography and English knowledge in the form of pictures, texts and videos. However, the traditional computer-assisted English teaching mode also limits the efficiency and interactivity of English classrooms. This research explores an intelligent computer-aided English teaching model by combining relevant algorithms in the field of artificial intelligence. It mainly uses ACNN and GRU algorithms to evaluate three aspects of student expression information, student action information and English teaching content information in the computer-aided teaching model. The research results show that the ACNN-GRU method is more suitable for evaluating the relevant information of computer-aided English teaching than the single ACNN method. The largest evaluation error is only 2.27% from the student action information of computer-assisted English teaching.