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Untangling Critical Interaction with AI in Students Written Assessment
arXiv - CS - Human-Computer Interaction Pub Date : 2024-04-10 , DOI: arxiv-2404.06955
Antonette Shibani, Simon Knight, Kirsty Kitto, Ajanie Karunanayake, Simon Buckingham Shum

Artificial Intelligence (AI) has become a ubiquitous part of society, but a key challenge exists in ensuring that humans are equipped with the required critical thinking and AI literacy skills to interact with machines effectively by understanding their capabilities and limitations. These skills are particularly important for learners to develop in the age of generative AI where AI tools can demonstrate complex knowledge and ability previously thought to be uniquely human. To activate effective human-AI partnerships in writing, this paper provides a first step toward conceptualizing the notion of critical learner interaction with AI. Using both theoretical models and empirical data, our preliminary findings suggest a general lack of Deep interaction with AI during the writing process. We believe that the outcomes can lead to better task and tool design in the future for learners to develop deep, critical thinking when interacting with AI.

中文翻译:

理清学生书面评估中与人工智能的关键互动

人工智能 (AI) 已成为社会无处不在的一部分,但存在一个关键挑战,即确保人类具备所需的批判性思维和人工智能素养技能,以便通过了解机器的能力和局限性来与机器进行有效交互。这些技能对于学习者在生成人工智能时代的发展尤为重要,在这个时代,人工智能工具可以展示以前被认为是人类独有的复杂知识和能力。为了以书面形式激活有效的人类与人工智能伙伴关系,本文为概念化学习者与人工智能的批判性互动的概念迈出了第一步。使用理论模型和经验数据,我们的初步研究结果表明,在写作过程中普遍缺乏与人工智能的深度互动。我们相信,这些成果可以在未来带来更好的任务和工具设计,让学习者在与人工智能互动时发展深入的批判性思维。
更新日期:2024-04-11
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