Human and AI collaboration in the higher education environment: opportunities and concerns.

IF 3.4 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Cognitive Research-Principles and Implications Pub Date : 2024-04-08 DOI:10.1186/s41235-024-00547-9
Paul Atchley, Hannah Pannell, Kaelyn Wofford, Michael Hopkins, Ruth Ann Atchley
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Abstract

In service of the goal of examining how cognitive science can facilitate human-computer interactions in complex systems, we explore how cognitive psychology research might help educators better utilize artificial intelligence and AI supported tools as facilitatory to learning, rather than see these emerging technologies as a threat. We also aim to provide historical perspective, both on how automation and technology has generated unnecessary apprehension over time, and how generative AI technologies such as ChatGPT are a product of the discipline of cognitive science. We introduce a model for how higher education instruction can adapt to the age of AI by fully capitalizing on the role that metacognition knowledge and skills play in determining learning effectiveness. Finally, we urge educators to consider how AI can be seen as a critical collaborator to be utilized in our efforts to educate around the critical workforce skills of effective communication and collaboration.

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高等教育环境中的人类与人工智能合作:机遇与担忧。
为了研究认知科学如何促进复杂系统中的人机交互,我们探讨了认知心理学研究如何帮助教育工作者更好地利用人工智能和人工智能辅助工具来促进学习,而不是将这些新兴技术视为一种威胁。我们还旨在提供历史视角,即自动化和技术如何随着时间的推移产生不必要的忧虑,以及 ChatGPT 等生成性人工智能技术如何成为认知科学学科的产物。我们介绍了高等教育教学如何适应人工智能时代的模式,充分利用元认知知识和技能在决定学习效果方面的作用。最后,我们敦促教育工作者考虑如何将人工智能视为一个重要的合作者,在我们围绕有效沟通与协作的关键工作技能开展教育的过程中加以利用。
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来源期刊
CiteScore
6.80
自引率
7.30%
发文量
96
审稿时长
25 weeks
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