高等教育环境中的人类和人工智能合作:机遇和关注点
Paul Atchley1, Hannah Pannell2, Kaelyn Wofford2
1University of South Florida, Tampa, USA. patchley@usf.edu.
Cognitive research: principles and implications
|April 8, 2024
概括
认知科学可以帮助教育工作者使用人工智能 (AI) 工具来增强学习. 通过专注于元认知,高等教育可以适应人工智能,将其视为开发基本劳动力技能的合作伙伴.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 教育心理学教育心理学
背景情况:
- 历史上的对自动化和技术的担忧.
- 包括ChatGPT在内的生成人工智能植根于认知科学.
- 教师需要适应新兴的人工智能技术.
研究的目的:
- 检查认知科学如何改善复杂系统中的人机交互.
- 探索认知心理学如何帮助教育工作者利用人工智能进行学习.
- 为人工智能理解及其认知科学起源提供历史背景.
主要方法:
- 关于认知科学,人工智能和教育的文学评论.
- 在高等教育中整合人工智能的模型的开发.
- 分析元认知在人工智能辅助学习中的作用.
主要成果:
- 认知科学的原则可以指导学习中有效的人类-人工智能协作.
- 为高等教育提出了一个模型,通过强调元认知来整合人工智能.
- 人工智能可以成为培养沟通和协作技能的宝贵工具.
结论:
- 教师应该将人工智能视为合作伙伴,而不是威胁.
- 超认知是最大限度地利用AI在教育中的好处的关键.
- 将教学适应人工智能对于发展未来的劳动力技能至关重要.
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