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July 15, 2026Innovation in Language Learning and Teaching

Using LLM chatbots for feedback in L2 English academic writing: a scoping review

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Authors

NHNu Nhu Y. HoNRNatasha Anne RappaJWJeannine Wishart

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Overview

Scoping review investigates LLM chatbots' feedback impacts on L2 English learners, highlighting research gaps.

Key Points

  • The review aims to evaluate existing literature on LLM chatbots for academic writing feedback in L2 English learners.
  • Mapped and summarized 41 studies published before June 2025 across four databases.
  • Identified four research areas: characteristics of feedback, impacts on behavior and performance, motivation and engagement, and perceptions of feedback.
  • LLM chatbots show potential for enhancing academic writing feedback.
  • Identified significant gaps across theoretical, methodological, evidential, and epistemic dimensions in the literature.

Cite This Study

Ho et al. (2026) studied this question.

synapsesocial.com/papers/6a57234488b21df87548010dhttps://doi.org/10.1080/17501229.2026.2698704
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1LLM-Generated Feedback in L2 Writing: A Scoping Review2026
  2. 2Using dynamic feedback from customized LLM-powered chatbots in EFL argumentative writing2026
  3. 3Personalized language learning with an LLM chatbot: effects of immediate vs. delayed corrective feedback2026 · 3 citations
  4. 4ChatGPT and large language models in academia: opportunities and challenges2023 · 573 citations
  5. 5Emerging tensions around learning with LLM-based chatbots2024 · 5 citations