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Generative AI acts as meta-reviewer in academic feedback study

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv explores the use of generative AI as a meta-reviewer for peer feedback in graduate online courses. Researchers analyzed 120 AI-generated metareviews, applying Systemic Functional Linguistics and Appraisal Theory. The findings indicate that generative AI can effectively mimic human feedback by providing clear directives and maintaining a supportive tone, balancing praise with constructive criticism. AI

IMPACT This research suggests generative AI can improve feedback literacy and student engagement in online learning environments.

RANK_REASON The cluster contains a research paper published on arXiv detailing a study on AI's application in academic feedback. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

Generative AI acts as meta-reviewer in academic feedback study

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The cluster contains a research paper published on arXiv detailing a study on AI's application in academic feedback. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Gabriela C. Zapata, Bill Cope, Mary Kalantzis, Duane Searsmith ·

    Calibrated Generative AI as Meta-Reviewer: A Systemic Functional Linguistics Discourse Analysis of Reviews of Peer Reviews

    arXiv:2509.15035v2 Announce Type: replace Abstract: This study investigates the use of generative AI to support formative assessment through machine generated reviews of peer reviews in graduate online courses in a public university in the United States. Drawing on Systemic Funct…

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