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An artificial intelligence-driven platform for practice question generation
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DOI：10.1093/acamed/wvaf074.png)
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摘要
En 中文
高风险执业资格考试，例如美国医学执照考试（USMLE），在医学教育中扮演着关键角色，影响着实习生的进展和患者结局。高质量执业资格考试准备资源的获取不均衡，且往往价格过高，不成比例地影响来自代表性不足或经济背景欠佳的学生。
Keyword:
medical licensing exams
artificial intelligence
board preparation
educational equity
practice questions
期刊
IF:
5.2
论文数:
1.2W
被引数:
2.4W
机构
引用论文
Study Behaviors and USMLE Step 1 Performance: Implications of a Student Self-Directed Parallel Curriculum.png)
ACADEMIC MEDICINE
OAAI
ACADEMIC MEDICINEIF5.2
OAAI分享收藏Large Language Models in Medical Education: Comparing ChatGPT- to Human-Generated Exam Questions医学教育中的大型语言模型: 比较ChatGPT与人工生成的考试问题ACADEMIC MEDICINE
ACADEMIC MEDICINEIF5.2
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分享收藏Case-based MCQ generator: A custom ChatGPT based on published prompts in the literature for automatic item generation基于案例的MCQ生成器: 基于文献中已发布提示的自定义ChatGPT，用于自动生成项目MEDICAL TEACHER
MEDICAL TEACHERIF4.4
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分享收藏ChatGPT versus human in generating medical graduate exam multiple choice questions—A multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom)PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏Building bridges between theory and practice in medical education using a design-based research approach: AMEE Guide No. 60MEDICAL TEACHER
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PREAI
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