Frenemies - Unleashing the Power of ChatGPT in Assessments

Matthew Wysel
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Abstract

This paper deals with the educational necessity of collaborative learning and individual assessment. Historically, communication-based inefficiencies in student collaboration supported individual assessment but increasingly content creation technologies are both overcoming these inefficiencies and enabling students to collaborate during assessments. The rapid proliferation in the adoption of Generative AI packages such as ChatGPT is accelerating these challenges faster than universities can respond. This paper presents five, scaffolding assessment designs that are currently being piloted within graduate and undergraduate university classes. Crucially each strategy is predicated on the readily achievable - if scary - notion that authentic assessment and Generative AI services can be frenemies. Strategies covering extension across a range of quantitative and qualitative classes are detailed. Preliminary findings and 'next steps' are presented.
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敌人--在评估中释放 ChatGPT 的力量
本文论述了协作学习和个人评估在教育上的必要性。从历史上看,学生协作中基于通信的低效支持了个人评估,但越来越多的内容创建技术既克服了这些低效,又使学生能够在评估期间进行协作。生成式人工智能软件包(如 ChatGPT)的迅速普及正在加速这些挑战的解决,其速度之快超出了大学的应对能力。本文介绍了目前正在大学研究生和本科生班级中试行的五种支架式评估设计。最重要的是,每种策略都建立在一个很容易实现的概念之上--如果说这个概念很可怕的话--即真实的评估和生成式人工智能服务可以是一对冤家。详细介绍了涵盖一系列定量和定性课程的扩展策略。此外,还介绍了初步研究结果和 "下一步 "计划。
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