Leveraging LLM-based chatbots for interactional grammar feedback in L2 writing: opportunities and challenges

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초록

As ChatGPT is used for many purposes in L2 classrooms, recent studies have focused on employing it to provide grammar feedback on students' writing. However, the feedback explored has tended to be unidirectional and thus limited in terms of engaging L2 learners in revision or eliciting error detection and correction. In light of the principle of dynamic assessment in a Vygotskian framework, this study showcases an innovative practice based on a chatbot capable of providing interactional writing feedback for L2 writing instruction. It is designed to allow learners to identify their errors and provide progressively more explicit feedback. A total of 89 second-year pre-service teachers at a university of education in South Korea participated in this study, in which they attended a chatbot-building workshop, built a grammar feedback chatbot, and received feedback from it on their English essays. Our findings show that the target chatbot offers several advantages as a feedback provider in L2 writing classrooms, and that it could be a complementary resource for human teachers rather than a replacement.

키워드

ChatbotChatGPTgrammar feedbackL2 writingLLMDYNAMIC ASSESSMENT
제목
Leveraging LLM-based chatbots for interactional grammar feedback in L2 writing: opportunities and challenges
저자
Shin, DongkwangLee, Jang Ho
DOI
10.1080/17501229.2025.2549037
발행일
2025-08
유형
Article; Early Access
저널명
Innovation in Language Learning and Teaching