Reimagining Academic Performance Management in the Age of AI

Richard Dare
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Abstract

The university’s initial response to the spectre of artificial intelligence nullifying the efficacy of traditional academic performance assessments may present us with, if the reader will indulge an old chestnut, a case of ‘c’est vouloir prendre des li`evres au son du tambour’. That is to say, the unexpected 2022 arrival of ChatGPT (to say nothing of the progeny rapidly evolving AI systems will likely spawn next) is at this very moment spreading like an intellectual pandemic – whether professors wish to acknowledge its presence or not. As a community dedicated to thoughtful education, this new technology compels us to choose between three entirely distinct strategies: Ignore the impact of large language models on learning and assessment altogether and watch our students’ skills erode – the default non-response if we fail to act; or Fight against the inevitable incursion of cut-and-paste technologies such as ChatGPT by categorising them as forms of plagiarism, banning their use in academia, and trying to identify their offspring so we can apply largely feckless punishments as imagined remedies; or Embrace the new technologies and harness them in ways that radically recast core international educational and assessment practises, making them more suitable for the world in which we actually live. Ignore the impact of large language models on learning and assessment altogether and watch our students’ skills erode – the default non-response if we fail to act; or Fight against the inevitable incursion of cut-and-paste technologies such as ChatGPT by categorising them as forms of plagiarism, banning their use in academia, and trying to identify their offspring so we can apply largely feckless punishments as imagined remedies; or Embrace the new technologies and harness them in ways that radically recast core international educational and assessment practises, making them more suitable for the world in which we actually live. This paper imagines just such a third way. By contextualising technological advances as useful tools that can decolonise ailing education systems, the author imagines new evidence-based teaching and assessment strategies that can challenge students to achieve higher academic standards, making higher education increasingly impactful on the real world. The opportunity, this paper argues, is for international educational systems to ‘go beyond the unknown to meet the known’.
在人工智能时代重塑学术绩效管理
对于人工智能使传统学业成绩评估失效的幽灵,大学的最初反应可能是 "c'est vouloir prendre des li`evres au son du tambour"。也就是说,ChatGPT 在 2022 年的不期而至(更不用说迅速发展的人工智能系统接下来可能催生的后代),此刻正像一场知识界的大流行病一样蔓延开来--无论教授们是否愿意承认它的存在。 作为一个致力于思想教育的群体,这项新技术迫使我们在三种完全不同的策略中做出选择: 完全忽视大型语言模型对学习和评估的影响,眼睁睁地看着学生的技能受到侵蚀--如果我们不采取行动,这就是默认的无奈之举;或者通过将 ChatGPT 等剪切粘贴技术归类为剽窃形式、禁止在学术界使用这些技术并试图找出它们的后代来抵御它们不可避免的入侵,这样我们就可以将基本无用的惩罚作为想象中的补救措施;或拥抱新技术,利用新技术从根本上改变国际教育和评估的核心做法,使其更适合我们实际生活的世界。 完全忽视大型语言模型对学习和评估的影响,眼睁睁地看着我们学生的技能受到侵蚀--如果我们不采取行动,就只能采取默认的非应对措施;或者通过将 ChatGPT 等剪切粘贴技术归类为剽窃形式、禁止在学术界使用这些技术并试图识别其后代来抵御它们不可避免的入侵,这样我们就可以将基本无用的惩罚作为想象中的补救措施;或者,拥抱新技术,利用新技术从根本上改变国际教育和评估的核心做法,使其更适合我们实际生活的世界。 本文设想的正是这样的第三种方式。 作者将技术进步视为有用的工具,可以使病入膏肓的教育系统去殖民化,从而想象出新的循证教学和评估策略,可以挑战学生达到更高的学术标准,使高等教育对现实世界产生越来越大的影响。 本文认为,国际教育体系面临着 "超越未知,迎接已知 "的机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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