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Agency - the capacity to produce an effect - is a foundational aspect of medical education. Agency is usually conceptualized at the level of the , with each learner charged with taking responsibility to pull themselves up by their bootstraps. This conceptualization is problematic.
View Article and Find Full Text PDFArtificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178.
Med Teach
January 2025
Department of Medical Education, Dartmouth College Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Health Professions Education (HPE) assessment is being increasingly impacted by Artificial Intelligence (AI), and institutions, educators, and learners are grappling with AI's ever-evolving complexities, dangers, and potential. This AMEE Guide aims to assist all HPE stakeholders by helping them navigate the assessment uncertainty before them. Although the impetus is AI, the Guide grounds its path in pedagogical theory, considers the range of human responses, and then deals with assessment types, challenges, AI roles as tutor and learner, and required competencies.
View Article and Find Full Text PDFThe AMEE Guides and their contribution to health professions education.
Med Teach
December 2024
College of Medicine, University of Central Florida College of Medicine, Orlando, FL, USA.
AMEE Guides are clear and contemporary accounts of concepts in health professions education, which are written by experts, to be read and understood by someone new to the field. Over the years, they have responded to the needs of educators and researchers as the knowledge and practice of health professions education has grown. The Guides cover all domains of medical and health professions education.
View Article and Find Full Text PDFResponse to: "Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158".
Med Teach
November 2024
Educational Development Center, Guilan University of Medical Sciences, Rasht, Iran.
Robust explainer recommendation for time series classification.
Data Min Knowl Discov
June 2024
School of Computer Science, University College Dublin, Dublin, Ireland.
Time series classification is a task which deals with temporal sequences, a prevalent data type common in domains such as human activity recognition, sports analytics and general sensing. In this area, interest in explanability has been growing as explanation is key to understand the data and the model better. Recently, a great variety of techniques (e.
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