Title: Data-driven learning and semi-structured interviews in tertiary language education in Japan
Authors: Yoko Hirata; Yoshihiro Hirata
Addresses: Hokkai-Gakuen University, 1-40, 4-chome, Asahi-machi, Toyohira-ku, Sapporo, 062-8605, Japan ' Hokkai-Gakuen University, S26-W9, Chuo-ku, Sapporo, Japan
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.
Keywords: data-driven learning; DDL; corpus; concordance; lexical patterns; language learning; semi-structured interviews; language education; hybrid learning; tertiary education; lexical skills; innovation; Japan; student perceptions; higher education.
International Journal of Innovation and Learning, 2015 Vol.18 No.3, pp.313 - 332
Published online: 31 Aug 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article