CET-4 Listening Test Effect on Listening Learning Based on Machine Learning

CET-4 is a large-scale test used to test the English proficiency of Chinese non-English majors. However, the number of empirical studies on CET-4 is not large. This paper conducted an empirical study on the effect of the machine learning-based CET-4 listening test on listening learning. This paper first introduces the related concepts and influencing factors of listening and then summarizes the college English test and listening research, and then proposes machine learning related algorithms, including support vector machines, principal component analysis, statistical learning methods, and BP neural network. Finally, the method of questionnaire survey is used to conduct the research. In this study, 520 non-English major students were selected by random sampling to conduct a questionnaire survey, of which 400 were valid questionnaires. The experimental results showed that students’ listening learning strategies (Sig.=. 000<.05), learning behaviors (Sig.=. 000<.05), and learning attitudes (Sig.=. 00 3 <.05) were significantly different and students with higher listening scores paid more attention to the use of learning strategies.