Data-driven learning and semi-structured interviews in tertiary language education in Japan
by Yoko Hirata; Yoshihiro Hirata
International Journal of Innovation and Learning (IJIL), Vol. 18, No. 3, 2015

Abstract: This paper outlines the research conducted for the purpose of examining the efficacy of data-driven learning (DDL) tasks and semi-structured interviews implemented in Japanese tertiary education. Specifically, the attitudes of students, divided into three proficiency levels, towards the tasks in a hybrid language learning course were analysed. The results suggest that student perceptions of DDL tasks differ significantly according to several major factors. It can be concluded that semi-structured interviews are effective tools for the instructor to provide different types of students with different instructions for successful implementation of DDL in hybrid learning environments.

Online publication date: Mon, 31-Aug-2015

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