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LLM writing feedback perceived as useful by learners, study finds

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv explores learner perceptions of feedback generated by large language models (LLMs) that consider the writing process, not just the final output. The research involved 43 undergraduate English-language learners who received feedback based on their essay's intermediate drafts and interaction records. The majority of participants found the LLM feedback useful and aligned with their revision process, with quantitative ratings consistently above neutral. Qualitative analysis revealed that while participants often found the feedback accurate, some reported misinterpretations of surface corrections or rhetorical intentions, highlighting a distinction between detecting revision activity and understanding the reasons behind it. AI

IMPACT This research suggests LLMs can effectively assist in the writing process by providing process-aware feedback, potentially improving educational tools.

RANK_REASON The item is a research paper detailing a study on LLM feedback. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM writing feedback perceived as useful by learners, study finds

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The item is a research paper detailing a study on LLM feedback. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Samra Zafar, Shifa Yousaf ·

    "I Wrote, I Paused, I Rewrote": A Mixed-Methods Study of Learner Perceptions of Process-Aware LLM Feedback

    arXiv:2611.00009v1 Announce Type: cross Abstract: Large language models increasingly provide formative writing feedback, but most systems evaluate only the submitted text. Process-aware systems can additionally incorporate intermediate drafts and interaction records, yet access t…

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