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arXiv:cs.AI· Jared Ren, Soobin Cho·· 6 小时前

生成式 AI 在学生的专业沟通中扮演什么角色:一项访谈研究

Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication

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一项针对 12 名学生的访谈研究显示,学生在给导师和管理人员写邮件时最倾向于把专业信息委托给生成式 AI,AI 参与程度从修正原文到直接代写不等。学生检查 AI 文本主要看两点:是否像 AI 写的、是否像自己。研究据此建模发现,AI 介入会移除写作技能的学习循环、使信息不再针对具体收件人,并让成功沟通带来的信心归于使用系统而非自身能力。

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Abstract:We conducted an interview study with twelve students on their use of generative AI in academic communication. Students delegated professional messages to AI most where the pressure to sound professional is highest: email to instructors and administrators. AI involvement ranged from correcting the writer's own text to working out and writing the message outright, and students checked AI-written text against two criteria: whether it looks like AI and whether it sounds like them. Building on these findings, we model the AI-mediated process of writing a student--instructor email at the highest level of involvement we observed, and compare it with an unaided model of writing the same messages, built from participants' accounts and a classic model of the writing process. Three differences emerge: the learning loop that builds writing skill is removed, the message is no longer written for its specific recipient, and the confidence a successful exchange returns goes to using the system rather than to the writer's own ability. From these differences we derive two risks, that individual capacities never form and that authenticity and trust in communication become work. Design can respond to both but is unlikely to be enough, so the risks also need research and policy attention.
Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI)
Cite as: arXiv:2608.28837 [cs.HC]
  (or arXiv:2608.28837v2 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2608.28837

arXiv-issued DOI via DataCite

Submission history

From: Soobin Cho [view email]
[v1] Fri, 28 Aug 2026 20:14:54 UTC (340 KB)
[v2] Tue, 13 Oct 2026 09:25:05 UTC (341 KB)

来源:arXiv:cs.AI · arxiv.org