cs.HC提交于 2026-10-23已译

从无AI门槛到AI优先工作：印度工程学生如何在无AI准则下应对大学教育与校园招聘

From AI-Free Gates to AI-First Work: How Engineering Students in India Navigate University Education and Campus Placements Without AI Guidelines

Samhitha Goutham · Ziwei Gu

中文摘要

印度工程毕业生正进入一个由生成式AI重塑的科技行业，但进入该行业的路径主要经过考试和校园招聘筛选，而这些环节在很大程度上排除AI。2026—2027年，印度获批的工程与技术类专业招生名额接近290万，但关于学生如何准备AI介入工作的HCI研究，大多来自西方和东亚背景。研究访谈了23名印度工程与计算机相关专业学生及近期毕业生，了解他们在课程、考试和招聘中使用生成式AI的方式，以及如何判断自身的工作准备度。通过反身性主题分析，研究归纳出五个主题：AI优先的工作场所与无AI招聘筛选、参与者准备招聘的方式、在课程中使用AI的情况、教师权威与执行的作用，以及参与者对工作准备度的担忧。研究基于信号理论，讨论当AI能够协助生成成绩和筛选分数时，这些成绩与分数究竟证明了什么，并为雇主、机构和AI工具设计者提出建议。

关键要点

01印度科技行业正被生成式AI重塑，但考试和校园招聘筛选基本排除AI。
02研究访谈23名印度工程与计算机相关专业学生及毕业生，关注其AI使用与工作准备度。
03研究发现AI优先工作场所与无AI招聘筛选并存，形成新的能力准备矛盾。
04分析涵盖招聘准备、课程使用、教师权威与执行，以及学生的工作准备担忧。
05基于信号理论，研究质疑AI辅助生成成绩和分数后，成绩与筛选结果的认证意义。

解读

尚无解读。

原始英文摘要

arXiv:2610.29140v1 Announce Type: cross 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.