Effectiveness of College Student English Writing Teaching Based on Data-driven Learning
| Autor: | Lei Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
data-driven learning
lcsh:T58.5-58.64 Process (engineering) lcsh:Information technology General Engineering Questionnaire process writing approach Teaching mode corpus Education Style (sociolinguistics) Test (assessment) English writing ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education Language education Discovery learning Psychology lcsh:L Data-driven learning Computer Science::Operating Systems lcsh:Education |
| Zdroj: | International Journal of Emerging Technologies in Learning (iJET), Vol 13, Iss 04, Pp 106-116 (2018) |
| ISSN: | 1863-0383 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|