Effectiveness of college student english writing teaching based on data-driven learning

Abstract

Data-driven learning is a kind of new teaching mode underwhich language library is applied to language teaching. Featured by discoverylearning, diversified learning process, media learning materials and instructionallearning style, it can better stimulate students' learning initiatives, improvetheir self-learning ability and increase their learning efficiency. As the Englishwriting level of college students is the most important indicator of students'subjective initiative in learning and their own English proficiency, this paperapplies data-driven learning (DDL) in college students' English writing teachingin combination of the process writing approach. It selects 52 college studentsin a normal college in Beijing as the test subjects, and then through detailedexperimental design and the pre-test, mid-test and post-test, discusses theeffectiveness of data-driven learning in senior high school English writingteaching. At last, through a questionnaire survey, this paper shows the students'attitudes towards the new data-driven learning method. This paper provides certaintheoretical guidance to the improvement of the English writing level of collegestudents.