arXiv cs.AI· Samhitha Goutham, Ziwei Gu·· 13 小时前AI 评分31
印度工程专业学生如何在无 AI 指南下应对大学课程与校园招聘
From AI-Free Gates to AI-First Work: How Engineering Students in India Navigate University Education and Campus Placements Without AI Guidelines
AI 导读
一项研究访谈了 23 名印度工程与计算机专业学生及应届毕业生，考察他们在课程作业、考试和校园招聘中使用生成式 AI 的情况。研究发现，学生面对的是 AI-first 职场与 AI-free 招聘筛选并存的矛盾：印度 2026-2027 学年工程与技术专业获批招生名额近 290 万，但考试与校园筛选基本排除 AI。
正文 · 原文
Abstract:Engineering graduates in India enter a technology sector that is being reshaped by generative AI, yet the route into that sector runs through examinations and campus placement screens that largely exclude AI. Institutions in India have an approved intake of nearly 2.9 million seats in engineering and technology for 2026-2027, but HCI research on how students prepare for AI-mediated work has drawn mostly on Western and East Asian settings. We interviewed 23 students and recent graduates of Indian engineering and computing programmes about how they used generative AI across coursework, examinations and placements, and how they judged their own readiness for work. Using reflexive thematic analysis, we report five themes, covering AI-first workplaces and AI-free placement screens, how participants prepared for placement, how they used AI in coursework, the role of faculty authority and enforcement, and participants' concerns about their readiness for work. Drawing on signaling theory, we discuss what grades and screen scores certify once AI can help produce them, and we offer recommendations for employers, institutions and AI tool designers.
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.29140 [cs.HC] |
| (or arXiv:2610.29140v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.29140 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Ziwei Gu [view email]
[v1]
Wed, 21 Oct 2026 03:20:51 UTC (84 KB)
来源：arXiv cs.AI · arxiv.org