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タイトル: Who is data-driven learning for? Challenging the monolithic view of its relationship with learning styles
著者名: MIZUMOTO, Atsushi
CHUJO, Kiyomi
著者の別表記: 水本, 篤
中條, 清美
キーワード: 関西大学
Kansai University
data-driven learning (DDL)
learning styles
inductive
deductive
guided induction
論文発行年月日: 2016年10月
出版者: Elsevier
雑誌名: System
巻: 61
開始ページ: 55
終了ページ: 64
抄録: This study examines the relationship between one type of data-driven learning (DDL) and inductive–deductive learning styles. Participants were 145 Japanese university learners of English as a foreign language, all of whom showed significant improvements in a grammar test after teacher-led guided DDL induction. Data were collected using a questionnaire on inductive–deductive learning styles and DDL task values. Weak correlations were found between the inductive–deductive continuum of learning styles and the DDL task value, but no differences in magnitude were found from an examination of the confidence interval for the two correlations. These findings indicate that depending on the type, guided DDL-type induction may be beneficial for both deductive and inductive learners irrespective of their learning styles. The paper concludes with suggestions that future DDL studies should carefully define the construct of DDL and explore its relationship with learner characteristics.
内容記述: This study was supported by JSPS KAKENHI Grant Numbers 26704006 and 25284108.
資料種別: Journal Article
著作権等: This is the accepted version of the manuscript. The final, definitive version of this paper will be published in System by Elsevier, All rights reserved.
URI: http://hdl.handle.net/10112/13019
DOI: 10.1016/j.system.2016.07.010
ISSN: 0346251X
著者版フラグ: author
出現コレクション:科研費-外国語学部

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