The Application of Big Data Analysis in College English Classroom Vocabulary Memory and Learning Efficiency Teaching

Abstract

On the Internet platform, we can use big data mining technology to obtain rich teaching resources, assist classroom teaching, and change the previous relatively single word teaching content. When carrying out English word teaching, we should not only use textbooks to design courseware, but actively collect data resources such as pictures related to word teaching, and use these resources in courseware making to attract students' attention. In this paper, an intelligent recommendation system for English vocabulary learning is designed by using the intelligent recommendation model for English vocabulary learning. The function of uploading corpus is added to realize the automatic updating of the vocabulary. Integrate and update the learner ability model and learning style model, realize the accurate description of user groups, and improve the efficiency of system resource recommendation. Through static acquisition and dynamic mining method to obtain the basic information and behavior interaction data of users, form the characteristics of learners, infer the ability and learning style of learners through machine learning algorithm, improve the effectiveness of teaching and mobilize students' interest in learning.