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July 29, 2026Education SciencesOpen Access

LLM-Generated Feedback in L2 Writing: A Scoping Review

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Authors

LCLaurence CravenDFDaniel R. Fredrick

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Overview

Scoping review maps the quality and impact of AI-generated feedback in second language writing, indicating gaps in research.

Key Points

  • This review aims to synthesize literature on LLM-generated feedback in L2 writing, focusing on feedback quality, learner uptake, and teaching integration.
  • Conducted a scoping review of 185 studies published between November 2022 and March 2026, identified through a Scopus search.
  • Applied a systematic keyword-based charting framework to full abstracts, with in-depth full-text analysis of 35 selected studies.
  • The majority of studies focus on comparative AI-human feedback (27.6%).
  • Underexploration of content-level feedback (13.5% of studies) and infrequent measurement of learner uptake as a primary outcome.
  • LLM feedback is comparable to teacher feedback for surface-level errors, but weaker for content and argumentation, with learner perceptions often exceeding actual performance.

Cite This Study

Craven et al. (2026) studied this question.

synapsesocial.com/papers/6a69a27dc8da07d9defa5ed7https://doi.org/10.3390/educsci16081196
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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 formative feedback in education: A qualitative systematic literature review2026 · 3 citations
  2. 2Using LLM chatbots for feedback in L2 English academic writing: a scoping review2026
  3. 3Boundary Conditions for LLM-Generated Feedback in Primary Writing: An Educator-Aligned Evaluation and Design Considerations2026
  4. 4Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators2025
  5. 5COMPARING LLM-GENERATED AND TEACHER FEEDBACK ON MEDICAL ESP WRITING2025