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

生成式人工智能在学术反馈研究中充当元审稿人

一项发表在arXiv上的新研究探讨了在研究生在线课程中将生成式人工智能用作同行反馈的元审稿人。研究人员应用系统功能语言学和评价理论,分析了120篇人工智能生成的元评审。研究结果表明,生成式人工智能可以通过提供清晰的指导和保持支持性的语气,平衡赞扬和建设性批评,有效地模仿人类反馈。 AI

影响 这项研究表明,生成式人工智能可以提高在线学习环境中的反馈素养和学生参与度。

排序理由 该集群包含一篇发表在arXiv上的研究论文,详细介绍了关于人工智能在学术反馈中应用的研究。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

生成式人工智能在学术反馈研究中充当元审稿人

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该集群包含一篇发表在arXiv上的研究论文,详细介绍了关于人工智能在学术反馈中应用的研究。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    校准生成式人工智能作为元审稿人:同行评审的系统功能语言学话语分析

    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…