arXiv:2607.01255cs.CYcs.AI2026-07

UPM重构AI教育政策,以赋能替代管控,推动真实评估与学生共创。

Beyond Detection: Redesigning Assessment and Governande of Generative AI at the Universidad Politécnica de Madrid (UPM)

  • 以六维框架构建可持续的AI政策,将生成式AI视为教学助手而非威胁。
  • 倡导课程级AI使用规则,用跨学科真实任务替代传统检测,提升批判思维。
  • 适合关注教育创新、教学改革或高校智能治理的研究者与管理者。

高校对生成式人工智能(GenAI)的应对策略差异显著,国际及西班牙内部均呈现分化。当前主流做法是防御性应对,聚焦于检测、剽窃和学术诚信,仅对学生进行基础培训。而少数先锋高校则主张深度融合,认为基于预防或惩罚的政策终将失效。本文支持后者观点:过度依赖检测已陷入死胡同,因生成文本与人类写作日益难以区分,且检测器误报率过高,不可信赖。大学亟需协同制定各课程的明确使用规范,重构评估体系,推行真实情境与跨学科任务以培养批判性思维和学习自主性,并建立真正将学生视为批判性共创者的AI素养教育体系。然而挑战不仅是教学层面,还涉及组织、技术、运营、法律与经济等多维度问题,需统筹解决。在此背景下,西班牙理工大学(UPM)正构建一个以六维结构为基础的战略性、可持续的AI政策与采纳框架,使人工智能成为学生自主学习与教学创新的赋能工具,而非被监控的对象。

原文摘要 · Abstract (English)

Universities have responded to generative artificial intelligence (GenAI) in noticeably different ways, both internationally and within Spain. So far, the dominant reaction has been defensive, this is, most institutions frame the debate around AI detection, plagiarism, academic integrity and a presumed drop in student effort, prioritizing basic training for academic staff over students. Other group of pioneering universities is doing the opposite, pursuing deeper adoption, and assuming that any policy built on prevention or sanction will not hold. This paper sides with that second view. Obsessing about detection is a dead end, since generated text is increasingly hard to distinguish from human writing, and detectors still misfire too often to be trusted. What universities need instead is a coordinated effort to set clear, course-by-course rules for GenAI use, redesign assessment toward authentic and interdisciplinary assessment that fosters critical thinking and learner autonomy, and build a serious AI-literacy programme that treats students as critical co-creators rather than passive users. The challenge, though, is not only pedagogical. Adoption at university scale also raises organisational, technical, operational, legal and economic questions that have to be solved together. In this context, the Universidad Politécnica de Madrid (UPM) is developing a strategic and sustainable AI policy and adoption framework structured around six dimensions, in which AI functions as an enabler of student autonomy and pedagogical innovation rather than as a threat to be policed.

AI教育评估改革教学创新

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。