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使用生成性AI制作医疗MCQ:如何利用ChatGPT的指南

Matthias Stadler¹, Anna Horrer¹, Martin R Fischer¹

¹LMU University Hospital, LMU Munich, Institute for Medical Education, Munich, Germany.

GMS journal for medical education

|May 23, 2024

概括

本指南向医学教育工作者展示了如何使用ChatGPT创建高质量的多选题 (MCQ) 来用于医学课程. 它涵盖了快速工程,并解决了AI的局限性,确保有效的评估工具开发.

科学领域:

医学教育医学教育
教育中的人工智能
评估设计评估设计

背景情况:

医学教育工作者在制定高质量的评估方面面临着持续的挑战.
人工智能 (AI) 为简化评估创建提供了一个潜在的解决方案.
需要高效和有效的方法来产生医疗评估工具的需求至关重要.

研究的目的:

为提供使用ChatGPT生成医学教育中多选题 (MCQ) 的实用指南.
探索快速工程对人工智能生成的MCQ质量和复杂性的影响.
突出将AI整合到医疗评估过程中的好处和挑战.

主要方法:

对ChatGPT的快速工程技术进行详细的探索.
基于不同的提示结构,分析各种MCQ输出.
识别人工智能的能力和局限性,例如"幻觉".

主要成果:

展示ChatGPT在创建不同复杂度的MCQ中的适应性.
说明性例子,说明快速变化如何影响问题忠实度.
识别潜在的陷,包括人工智能产生的不准确性.

结论:

聊天GPT可以是一个有价值的工具,为医学教育者生成评估项目.
有效的提示工程对于最大限度地提高AI在评估设计中的实用性至关重要.
严格的人类审查仍然至关重要,以确保AI产生的MCQ的准确性和适当性.

关键词:

聊天GPT 聊天在GPT 聊天创建MCQ 创建MQQ的时间生成型的人工智能医学教育医学教育快速的工程迅速的工程

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