Files and links (1)
Open Access CC BY V4.0
Journal article
Using LLM chatbots for feedback in L2 English academic writing: a scoping review
Innovation in language learning and teaching, In Press
2026
Appears in Open Access via Read & Publish Agreements
Abstract
Conventional practices of language teaching and learning are going through a substantial shift with the advent of Large Language Model (LLM) chatbots, such as ChatGPT. LLM chatbots have been increasingly examined as a provider of academic writing feedback for second language (L2) English learners. This review aims to explore the current literature on using LLM chatbots for academic writing feedback in higher education contexts and identify research gaps in this nascent field. Following the SMART guidelines, this review maps out and summarizes 41 studies published across four databases before June 2025. Four principal areas of research are identified in the reviewed literature, including (1) characteristics of LLM-chatbot feedback, (2) impacts on learners' behavior and writing performance, (3) impacts on learners' writing motivation and engagement, and (4) perceptions of LLM-chatbot feedback. The reviewed evidence suggests that LLM chatbots hold significant potential for providing academic writing feedback. However, the review identifies major gaps in the reviewed literature across theoretical, methodological, evidential, and epistemic dimensions. Recommendations for future practice are provided.
Details
- Title
- Using LLM chatbots for feedback in L2 English academic writing: a scoping review
- Authors/Creators
- Nu Nhu Y. Ho - Murdoch UniversityNatasha Anne Rappa - Murdoch University, School of EducationJeannine Wishart - Murdoch University, School of Education
- Publication Details
- Innovation in language learning and teaching, In Press
- Publisher
- Informa UK Limited, trading as Taylor & Francis Group
- Number of pages
- 23
- Grant note
- Decision no. 2671/QDstrok;-BGDDstrok;T dated 27/9/2024 / Vietnamese Government Scholarship (Project 89)
- Identifiers
- 991005904175607891
- Copyright
- © 2026 The Author(s).
- Murdoch Affiliation
- School of Education
- Language
- English
- Resource Type
- Journal article
Metrics
70 File views/ downloads
8 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 6 Social Sciences
- 6.185 Communication
- 6.185.2790 Ethical and Trustworthy AI
- Web Of Science research areas
- Education & Educational Research
- Linguistics
- ESI research areas
- Social Sciences, general