灵活性(工程)
工程伦理学
医学教育
医学
包裹体(矿物)
知识管理
计算机科学
心理学
工程类
数学
社会心理学
统计
作者
Syeda Sadia Fatima,N Sheikh,Athar Osama
标识
DOI:10.1093/postmj/qgae088
摘要
Traditional assessments often lack flexibility, personalized feedback, real-world applicability, and the ability to measure skills beyond rote memorization. These may not adequately accommodate diverse learning styles and preferences, nor do they always foster critical thinking or creativity. The inclusion of Artificial Intelligence (AI), especially Generative Pre-trained Transformers, in medical education marks a significant shift, offering both exciting opportunities and notable challenges for authentic assessment practices. Various fields, including anatomy, physiology, pharmacy, dentistry, and pathology, are anticipated to employ the metaverse for authentic assessments increasingly. This innovative approach will likely enable students to engage in immersive, project-based learning experiences, facilitating interdisciplinary collaboration and providing a platform for real-world application of knowledge and skills.
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