从演讲幻灯片到个性化评估:聊天GPT驱动的消化病理问题针对性学习
Sompon Apornvirat1, Adiluck Pisutpunya2, Nawaluk Atiroj2
1Division of Pathology, Chulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand.
Pathology international
|January 9, 2026
概括
聊天GPT可以从病理幻灯片中创建准确的多选择题 (MCQ). 专家审查确保了质量,为医学教育提供了一个可扩展的工具.
科学领域:
- 医疗教育 技术 技术 医学教育
- 人工智能在病理学中的应用
- 数字学习工具 数字学习工具
背景情况:
- 开发有效的评估工具对于医学教育至关重要.
- 创建多选题 (MCQ) 的传统方法可能会耗费大量时间.
- 利用人工智能为教育内容生成提供了潜在的解决方案.
研究的目的:
- 评估ChatGPT在从消化病理学讲座幻灯片中生成临床集成的MCQ的能力.
- 通过专家审查,心理测量分析和学生反来评估人工智能生成的MCQ的教育质量.
主要方法:
- 使用ChatGPT-4o生成30个MQQ,其中包括30个消化病理学讲座幻灯片中的临床图片.
- 聘请3名病理学家和1名胃肠/肝胆病理学家进行专家评估.
- 对31名医学学生进行了心理测量分析 (难度和歧视指数,分心质量).
- 分析了评论员和学生的反.
主要成果:
- 93.3%生成的MCQ被专家病理学家评为优秀.
- 大多数问题表现出可接受的心理测量特性 (76.7%遇到困难,93.3%遇到歧视值).
- 学生报告说,人工智能生成的MCQ的清晰度,相关性和临床整合得到了增强.
结论:
- 聊天GPT-4o可以准确地生成与讲座材料一致的临床相关的MCQ.
- 专家审查完善了人工智能生成的MCQ,确保了高质量的教育.
- 这种人工智能辅助的方法为病理学教育提供了实用且可扩展的解决方案,特别是在资源有限的环境中.
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