Effectiveness of College Student English Writing Teaching Based on Data-driven Learning ARTICLE
Lei Zhang, Jilin Institute of Chemical Technology
iJET Volume 13, Number 4, ISSN 1863-0383 Publisher: International Association of Online Engineering, Kassel, Germany
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\u2019 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\u2019 subjective initiative in learning and their own English proficiency, this paper applies data-driven learning (DDL) in college students\u2019 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\u2019 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.
Zhang, L. (2018). Effectiveness of College Student English Writing Teaching Based on Data-driven Learning. International Journal of Emerging Technologies in Learning (iJET), 13(4), 106-116. Kassel, Germany: International Association of Online Engineering. Retrieved September 22, 2018 from https://www.learntechlib.org/p/182876/.
© 2018 International Association of Online Engineering