University of South Florida, Tampa, USA.
Cogn Res Princ Implic. 2024 Apr 8;9(1):20. doi: 10.1186/s41235-024-00547-9.
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.
为了实现检验认知科学如何促进复杂系统中的人机交互这一目标,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支持的工具来促进学习,而不是将这些新兴技术视为威胁。我们还旨在提供历史视角,一方面说明自动化和技术是如何随着时间的推移产生不必要的担忧的,另一方面说明像 ChatGPT 这样的生成式人工智能技术是认知科学学科的产物。我们介绍了一种模型,说明高等教育教学如何通过充分利用元认知知识和技能在确定学习效果方面的作用来适应人工智能时代。最后,我们敦促教育工作者考虑如何将人工智能视为一种关键的协作者,以利用其来培养有效沟通和协作等关键劳动力技能。