Is your curriculum GenAI-proof? A method for GenAI impact assessment and a case study [version 3; peer review: 1 approved, 2 approved with reservations]

Background Generative AI (GenAI) can complete tasks that previously could only be performed successfully by humans. Although GenAI provides many opportunities, it also poses risks such as invalid assessments and irrelevant learning outcomes. This article presents a broadly applicable method to (1) d...

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主要な著者:	Erik Elings, Remco Jongkind, Tom Broens, Erik Joukes, Floris Wiesman, Hemmik Leopold, Jennita Meinema
フォーマット:	Artigo
言語:	Inglês
出版事項:	F1000 Research Ltd 2026-04-01
シリーズ:	MedEdPublish
主題:	Generative AI GenAI Large Language Models Curriculum adaptation ChatGPT assessment validity eng
オンライン･アクセス:	https://mededpublish.org/articles/15-11/v3
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