マイケル バー
Michael BARR
マイケル・バー 所属 京都外国語短期大学 キャリア英語科 職種 准教授 |
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発表年月日 | 2024/05/25 |
発表テーマ | Instructor and student perspectives of ChatGPT-assisted writing tasks |
会議名 | PanSIG2024 |
主催者 | JALT - Japan Association of Language Teachers |
学会区分 | 国際学会 |
発表形式 | 口頭(一般) |
単独共同区分 | 共同 |
国名 | 日本 |
開催地名 | Fukui, Japan |
開催期間 | 2024/05/24~2024/05/26 |
発表者・共同発表者 | Michael Barr, Jeanette Dennisson, Daniel Newbury |
概要 | ChatGPT - with its rapid text analysis capabilities - is ideal as a teaching tool for EFL writing classes. Studies of ChatGPT usage in the classroom are necessary to establish pedagogically sound practices and develop methods for integrating ChatGPT as an assistant to promote learning in writing courses. To this end, this multi-university study implemented a pilot ChatGPT-assisted writing task in EFL courses comprising students of varying English proficiency levels and majors. Participants in these courses were given the same writing prompts and asked to compose a response. Their writing output was then evaluated by ChatGPT, and with the ChatGPT prompt provided by the instructor, students were asked to improve their writing based on the advice received from ChatGPT. This study involved a before-and-after analysis of student writing samples. It also considered teacher and student feedback surveys on the feasibility and effectiveness of this ChatGPT-assisted task. The findings from these surveys across each university, including technical and implementation challenges from both teacher and student perspectives, will be presented and discussed. |