Kathleen Raskob, Hadar Duman, Jordan Kinder, Jung Lee, Joe Wilson, Karen Segerson
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引用次数: 0
Abstract
The systematic alignment and analysis of educational content through curriculum mapping serves as a critical yet complex undertaking in developing, executing, and assessing medical education programs. In alignment with Kern's steps for curriculum development, the process of curriculum mapping consists of connecting curricular standards to learning objectives, educational strategies, and evaluation methods. Artificial Intelligence's (AI) Large Language Models are powerful tools for medical educators looking to optimize curriculum mapping. Following Kern's process, our twelve tips demonstrate how medical educators can harness the power of AI to enhance the efficiency and creativity of the curriculum mapping process while highlighting the limitations and boundaries of such tools.
期刊介绍：
Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.
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