论辩的
纠正性反馈
同行反馈
感知
背景(考古学)
心理学
偏爱
数学教育
质量(理念)
英语作为外语
第二语言写作
计算机科学
教育学
第二语言
语言学
哲学
古生物学
认识论
神经科学
经济
生物
微观经济学
作者
Shaoyan Zou,Kai Guo,Jun Wang,Yu Liu
标识
DOI:10.1080/09588221.2024.2447279
摘要
While previous studies have compared English as a foreign language (EFL) students' perceptions of teacher- and ChatGPT-generated feedback on their writing, there remains a gap in understanding how students incorporate feedback from these sources into their revisions. To address this, our study investigated how students use feedback from teachers and ChatGPT in the context of argumentative writing. Twenty Chinese undergraduate students participated in the study, composing argumentative essays, receiving feedback from both teachers and ChatGPT, and revising their essays accordingly. We analyzed their revisions to assess their engagement with the feedback and the appropriateness of their revisions. Additionally, we collected and analyzed their responses to a questionnaire that explored their perceptions and preferences regarding teacher feedback and ChatGPT feedback. The findings revealed that students displayed higher levels of engagement and achieved greater accuracy in their revisions when using teacher feedback. However, an intriguing pattern emerged, indicating that students effectively addressed language and content issues with teacher feedback but showed a particular inclination towards successfully integrating feedback on organization from ChatGPT. Furthermore, the questionnaire results indicated a general preference for teacher feedback while recognizing the unique strengths of ChatGPT feedback, particularly in relation to organization. These findings underscore the potential of using ChatGPT feedback as a complementary resource to teacher feedback. The study demonstrated how these two feedback sources can be synergistically aligned to enhance the overall quality of feedback in EFL writing, promoting a more integrated approach to improve the teaching efficacy of EFL writing.
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