arXiv cs.AI· Jared Ren, Soobin Cho·· 3 天前AI 评分22
生成式 AI 在学生专业沟通中的角色：一项访谈研究
Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication
AI 导读
一项针对 12 名学生的访谈研究考察了生成式 AI 在学术沟通中的使用，发现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 AI，AI 参与程度从修改原文到直接代写不等。
正文 · 原文
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