Effectiveness of College Student English Writing Teaching Based on Data-driven Learning

Lei Zhang


Data-driven learning is a kind of new teaching mode under which language li-brary is applied to language teaching. Featured by discovery learning, diversified learning process, media learning materials and instructional learning style, it can better stimulate students’ learning initiatives, improve their self-learning ability and increase their learning efficiency. As the English writing level of college stu-dents is the most important indicator of students’ subjective initiative in learning and their own English proficiency, this paper applies data-driven learning (DDL) in college students’ English writing teaching in combination of the process writ-ing approach. It selects 52 college students in a normal college in Beijing as the test subjects, and then through detailed experimental design and the pre-test, mid-test and post-test, discusses the effectiveness of data-driven learning in senior high school English writing teaching. At last, through a questionnaire survey, this paper shows the students’ attitudes towards the new data-driven learning method. This paper provides certain theoretical guidance to the improvement of the Eng-lish writing level of college students.


data-driven learning; corpus; English writing; process writing approach

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Copyright (c) 2018 Lei Zhang

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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