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Data-driven learning and semi-structured interviews in tertiary language education in Japan

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Listed:
  • Yoko Hirata
  • Yoshihiro Hirata

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.

Suggested Citation

  • Yoko Hirata & Yoshihiro Hirata, 2015. "Data-driven learning and semi-structured interviews in tertiary language education in Japan," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 18(3), pages 313-332.
    • Handle: RePEc:ids:ijilea:v:18:y:2015:i:3:p:313-332
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