Is your curriculum GenAI-proof? A method for GenAI impact assessment and a case study DOI Creative Commons

Remco Jongkind,

Erik Elings,

Erik Joukes

et al.

MedEdPublish, Journal Year: 2025, Volume and Issue: 15, P. 11 - 11

Published: March 26, 2025

Background Generative AI (GenAI) such as ChatGPT can take over tasks that previously could only be done by humans. Although GenAI provides many educational opportunities, it also poses risks invalid assessments and irrelevant learning outcomes. This article presents a broadly applicable method to (1) determine current assessment validity, (2) assess which outcomes are impacted student use (3) decide whether alter formats and/or is exemplified the case-study on our medical informatics curriculum. We developed five-step evaluate address impact of GenAI. In collaborative manner, courses in curriculum analysed their plans together with teachers, adapted usage. Results 57% assessments, especially writing programming, were at risk reduced validity relevance. was closer related content structure than complexity according Bloom’s taxonomy. During retreats, lecturers discussed relevance students should able achieve them or without Furthermore, results led plan increase literacy years study. Subsequently coordinators asked either adjust preclude use, include literacy. For 64% format for 36% adapted. Conclusion The majority outcomes, leading us adapt offer potential blueprint institutions facing similar challenges.

Language: Английский

Is your curriculum GenAI-proof? A method for GenAI impact assessment and a case study DOI Creative Commons

Remco Jongkind,

Erik Elings,

Erik Joukes

et al.

MedEdPublish, Journal Year: 2025, Volume and Issue: 15, P. 11 - 11

Published: March 26, 2025

Background Generative AI (GenAI) such as ChatGPT can take over tasks that previously could only be done by humans. Although GenAI provides many educational opportunities, it also poses risks invalid assessments and irrelevant learning outcomes. This article presents a broadly applicable method to (1) determine current assessment validity, (2) assess which outcomes are impacted student use (3) decide whether alter formats and/or is exemplified the case-study on our medical informatics curriculum. We developed five-step evaluate address impact of GenAI. In collaborative manner, courses in curriculum analysed their plans together with teachers, adapted usage. Results 57% assessments, especially writing programming, were at risk reduced validity relevance. was closer related content structure than complexity according Bloom’s taxonomy. During retreats, lecturers discussed relevance students should able achieve them or without Furthermore, results led plan increase literacy years study. Subsequently coordinators asked either adjust preclude use, include literacy. For 64% format for 36% adapted. Conclusion The majority outcomes, leading us adapt offer potential blueprint institutions facing similar challenges.

Language: Английский

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