著者

Kim MinKyung

出版者

名古屋商科大学

雑誌

若手研究

巻号頁・発行日

2020-04-01

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The purpose of this study is to develop machine scoring algorithms that can predict human scores of Japanese English as a foreign language (EFL) student writing samples across three writing genres (i.e., emails, descriptions, and persuasive essays). Japanese EFL undergraduate students will be recruited. Findings will provide a comprehensive understanding of writing features that distinguish higher- and lower-quality writing across multiple genres. The developed scoring algorithms will be freely available online to help EFL teachers and students better understand higher-rated writing features.