Data-Driven Learning Teaching Model of College English Based on Mega Data Analysis

Abstract

With the arrival of the mega data era, CET has developed a new teaching model based on mega data. This teaching requirement is met by a data-driven model based on mega data. By applying it to CET, students will be guided to explore and discover language rules and pragmatic features through quantitative analysis of data-driven technology, which will help compensate for the disadvantages of traditional English teaching and improve students’ autonomous learning ability. The concept of data-driven language learning is introduced into teaching in this paper. Corpus is tried to stimulate students’ autonomous learning in the teaching process, and the independent learning model of students is further improved in the teaching reform, based on educational theories of corpus linguistics and second language acquisition linguistics. Students’ scores have improved, particularly in English listening, according to the findings. The data-driven CET-4 model improves students’ learning ability and interest, as well as their ability to think creatively and critically.