杠杆(统计)
计算机科学
生成语法
主题专家
质量(理念)
医学教育
知识管理
工程伦理学
人工智能
医学
工程类
专家系统
认识论
哲学
作者
Inthrani R. Indran,Priya Paranthaman,Neelima Gupta,Nurulhuda Mustafa
出处
期刊:Medical Teacher
[Taylor & Francis]
日期:2023-12-26
卷期号:46 (8): 1021-1026
被引量:71
标识
DOI:10.1080/0142159x.2023.2294703
摘要
Integrating LLM tools like ChatGPT into generating medical assessment questions like MCQs augments but does not replace human expertise. With continual instruction refinement, AI can produce high-standard questions. Yet, the onus of ensuring ultimate quality and accuracy remains with subject matter experts, affirming the irreplaceable value of human involvement in the artificial intelligence-driven education paradigm.
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