创造性人工智能对人类学习的承诺和挑战
Lixiang Yan1, Samuel Greiff2,3,4, Ziwen Teuber5
1Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.
Nature human behaviour
|October 22, 2024
概括
生成型人工智能 (GenAI) 可以通过提供个性化的支持和创新的评估来彻底改变教育. 然而,发展人工智能素养至关重要,以利用它的好处,同时减轻对人类学习和批判性思维的风险.
科学领域:
- 教育技术的教育技术
- 学习科学 学习科学
- 人与计算机的交互
背景情况:
- 生成型人工智能 (GenAI) 为教育带来了变革的潜力.
- 整合GenAI需要一种多学科的方法,从学习科学,教育技术和人机交互中汲取.
研究的目的:
- 检查将GenAI整合为人类学习的工具.
- 在教育背景下解决GenAI的承诺和挑战.
主要方法:
- 整体的观点整合了学习科学,教育技术和人机交互的见解.
- 分析GenAI在学习环境中的潜在好处和挑战.
主要成果:
- 通过个性化的支持,多样化的材料,及时的反和创新的评估,GenAI可以增强学习.
- 关键问题包括模型的不完美,道德困境和破坏传统评估.
结论:
- 培养人工智能素养和适应能力对于知情的GenAI参与至关重要.
- 需要严格的研究来评估GenAI对认知,元认知和创造力的影响.
- 人类必须与GenAI一起学习,并了解GenAI,以确保它成为智能能力的盟友,而不是损害.
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