为医学教育工作者提供初学者级别的提示:关于选择,快速工程和使用人工智能聊天机器人的指导
1Department of Medical Education and Informatics, Faculty of Medicine, Gazi University, Gazi Üniversitesi Hastanesi E Blok 9. Kat, 06500 Beşevler, Ankara, Turkey.
Medical science educator
|January 6, 2025
概括
这篇文章为医学教育工作者提供了十个实用技巧,以有效地将人工智能 (AI) 聊天机器人,特别是大型语言模型 (LLM) 集成到他们的教学和评估策略中,增强学生的学习体验.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 教育技术的教育技术
背景情况:
- 人工智能 (AI) 聊天机器人,特别是大型语言模型 (LLM),为推进医学教育提供了重大机会.
- 医学教育工作者需要指导他们如何在教学实践中有效地利用这些人工智能工具.
研究的目的:
- 为医学教育工作者提供十个可操作的技巧,他们在使用基于LLM的聊天机器人方面经验有限.
- 支持将AI聊天机器人整合到医学教育中的教学和评估中.
主要方法:
- 这篇文章概述了教育工作者的十个关键策略.
- 这些策略包括模型选择,提示工程和教育相关性输出优化.
主要成果:
- 实施所提供的提示可以提高AI聊天机器人在医学教育中的有效性.
- 教师可以利用AI聊天机器人来改善学生的学习成果和参与度.
结论:
- 人工智能聊天机器人,特别是LLM,为现代化医学教育提供了宝贵的工具.
- 采用这些人工智能技术,以实际策略为指导,可以改善教育实践和学生的成功.
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