[从错误中学习和人工智能:在医疗保健培训中结合传统和创新]
1Hôpital privé de l'Est parisien, 11 avenue de la République, 93604 Aulnay-sous-Bois, France.
Soins; la revue de reference infirmiere
|December 10, 2025
概括
错误是健康培训中的一个有价值的教育工具,培养批判性思维. 人工智能,像ChatGPT一样,通过提供即时答案来挑战这种教学,促使对基于错误的学习策略进行重新评估.
科学领域:
- 医学教育 医学教育
- 健康 职业 教育 教育 专业
- 教育技术的教育技术
背景情况:
- 错误教学对于在医疗专业培训中发展临床推理和批判性思维至关重要.
- 错误被视为一种教育资源,而不是失败,提高学习成果.
- 像ChatGPT这样的人工智能 (AI) 工具的兴起,对传统的教学方法提出了新的挑战.
研究的目的:
- 在健康培训中批判性地分析错误教学和人工智能之间的不断变化的关系.
- 探索AI如何影响学习中的错误的教育价值.
- 讨论在AI时代保护基于错误的学习的好处的策略.
主要方法:
- 关于教育中的错误教学和人工智能的文献评论.
- 分析了一次关于人工智能和教学实践的会议上提出的经验.
- 对人工智能对基于错误的学习的影响进行批判性和细微的检查.
主要成果:
- 人工智能工具可以提供即时答案,潜在地绕过与错误相关的学习过程.
- 人工智能的整合需要重新评估如何利用错误为教育利益.
- 为了保持错误的教学价值,需要根据人工智能调整教学策略.
结论:
- 错误教学仍然至关重要,但需要在AI的背景下进行调整.
- 教师必须找到整合人工智能的方法,同时确保学生仍然参与并从错误中学习.
- 未来的方法应该专注于利用人工智能来增强,而不是取代从错误中获得的学习.
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