English Listening Prediction Strategy and Training Method with Data Mining

Abstract

Listening comprehension is very essential for English learners. Good listening comprehension helps learners to improve comprehensive language proficiency, and promotes the effective implementation of foreign language teaching. However, it is an important and difficult point for foreign language learners. Students cannot understand the listening materials in listening exercises, and they face difficulties in completing the listening exercises assigned by the teacher. This can lead to anxiety and stress for learners which can probably result in lack of interest in learning English. Therefore, the language teaching researchers focus on effective teaching in English listening classes. Recent studies have shown that the learning strategies are helpful for learners to master relevant learning content, and learners can use some listening learning strategies to help them better understand listening content. This research aims at the high school English listening classroom, and proposes the idea of combining predictive strategy training with high school English listening teaching to explore the following two questions. (1) What are the differences in the use of predictive strategies among students with a large degree of English listening performance? (2) What kind of influence does the training of predictive strategies have on the listening performance of high school students? This study comprehensively used the educational experiment method and the questionnaire survey method to investigate and study a high school student. With the help of data analysis software SPSS22.0, data mining is carried out on the results of the questionnaire in the experiment and the results of the students before and after the test, aiming to answer the relevant questions explored in this experiment.