An Oral English Evaluation Model Using Artificial Intelligence Method

Abstract

Despite the fact that oral English classes have been available since primary school, most students’ oral English skills are poor and they struggle to communicate in simple everyday situations. This new requirement has been proposed in light of the general lack of English listening and speaking skills among Chinese college students. The current manual test for CET-4 and CET-6 will be gradually replaced by a computer test, and the CET-6 computer test will be included in the “quality engineering” project of national university teaching. The natural integration of artificial intelligence and education is assisting in the transformation of the traditional education ecology. Mind mapping has also had a significant impact on the education industry, and it has significant value in current educational applications. In order to truly realize personalized learning, we should pay more attention to the educational noumenon that the status of educators and learners has changed in education, that is, the transformation from educators to learners’ development. Artificial intelligence technology can be used effectively by junior high school English teachers to conduct oral English evaluation activities, which can more accurately judge students’ oral English expression ability and serve as a useful tool for adjusting and improving students’ learning methods.