Authentic assessment in medical education: exploring AI integration and student-as-partners collaboration
Syeda Sadia Fatima,
Nabeel Ashfaque Sheikh,
Athar Osama
Abstract:Background
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 … Show more
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