导师
卫生职业
工程伦理学
医学教育
面子(社会学概念)
心理学
计算机科学
教育学
医学
政治学
工程类
医疗保健
社会学
社会科学
法学
作者
Ken Masters,Heather MacNeill,Jennifer Benjamin,Tamara E. Carver,Kataryna Nemethy,Sofia Valanci,David Taylor,Brent Thoma,Thomas Thesen
出处
期刊:Medical Teacher
[Taylor & Francis]
日期:2025-01-09
卷期号:47 (9): 1410-1424
被引量:37
标识
DOI:10.1080/0142159x.2024.2445037
摘要
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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