Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178

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. It then discusses the difficult and ethical issues, before ending with considerations for faculty development and the technicalities of AI acknowledgment in assessment. Through this Guide, we aim to allay fears in the face of change and demonstrate possibilities that will allow educators and learners to harness the full potential of AI in HPE assessment.

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Publication Details

Journal
Medical Teacher
Published
2025-01-09
DOI
https://doi.org/10.1080/0142159x.2024.2445037
Citations
35
Primary Topic
Innovations in Medical Education
Type
article
Field-Weighted Citation Impact
65.75
Controls
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article

Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178

Thomas Thesen, Brent Thoma, Tamara E. Carver, Sofia Valanci et al.
35 citations
Medical Teacher
Innovations in Medical Education
65.75
article

Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178

Thomas Thesen, Brent Thoma, Tamara E. Carver, Sofia Valanci, Heather MacNeill, Jennifer Benjamin, Kataryna Nemethy, David Taylor, Ken Masters
article en
35 citations

Abstract

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. It then discusses the difficult and ethical issues, before ending with considerations for faculty development and the technicalities of AI acknowledgment in assessment. Through this Guide, we aim to allay fears in the face of change and demonstrate possibilities that will allow educators and learners to harness the full potential of AI in HPE assessment.

Medical TeacherVol. 47(9)
Dartmouth College (US), Gulf Medical University (AE), Baylor College of Medicine (US), University of Toronto (CA), McGill University Health Centre (CA), Baycrest Hospital (CA), Texas Children's Hospital (US), Sultan Qaboos University (OM), Toronto Metropolitan University (CA), Royal College of Physicians and Surgeons of Canada (CA)
Quality Education
Openalex Percentile: Top 0%
Innovations in Medical Education
65.75
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Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178 — Thomas Thesen, Brent Thoma, et al. · Medical Teacher (2025) | TGRS Research Map | TGRS