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Understanding how medical students learn in the era of artificial intelligence: a mixed methods study
0
Zitationen
5
Autoren
2025
Jahr
Abstract
Medical students in the AI era adopt a complex, multidimensional approach to learning that is personalized, flexible, and technology driven. The convergence of quantitative and qualitative data underscores the urgent need to align curricula with students' preferences by promoting self-regulated, interactive, and AI-enhanced learning environments. These findings have critical implications for faculty development, curriculum reform, teaching, student assessment, and the future of learner-centered medical education.
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