Crafting medical MCQs with generative AI: A how-to guide on leveraging ChatGPT
Abstract: As medical educators grapple with the consistent demand for high-quality assessments, the integration of artificial intelligence presents a novel solution. This how-to article delves into the mechanics of employing ChatGPT for generating Multiple Choice Questions (MCQs) within the medical curriculum. Focusing on the intricacies of prompt engineering, we elucidate the steps and considerations imperative for achieving targeted, high-fidelity results. The article presents varying outcomes based on different prompt structures, highlighting the AI's adaptability in producing questions of distinct complexities. While emphasizing the transformative potential of ChatGPT, we also spotlight challenges, including the AI's occasional "hallucination", underscoring the importance of rigorous review. This guide aims to furnish educators with the know-how to integrate AI into their assessment creation process, heralding a new era in medical education tools
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Crafting medical MCQs with generative AI: A how-to guide on leveraging ChatGPT ; volume:41 ; number:2 ; day:15 ; month:04 ; year:2024
GMS journal for medical education ; 41, Heft 2 (15.04.2024)
- Classification
-
Medizin, Gesundheit
- Creator
-
Stadler, Matthias
Horrer, Anna
Fischer, Martin R.
- DOI
-
10.3205/zma001675
- URN
-
urn:nbn:de:0183-zma0016759
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Stadler, Matthias
- Horrer, Anna
- Fischer, Martin R.
Other Objects (12)
Digital teaching after the pandemic - enriching diversity of teaching methods and freedom for inclination-oriented learning?
JME has impact beyond the Impact Factor!
Acknowledgement to the reviewers of GMS Journal for Medical Education
Miteinander, voneinander und übereinander lernen - Ein interprofessionelles Lernprojekt zur Förderung der gemeinsamen Kommunikation
Assessment methods in medical specialist assessments in the DACH region - overview, critical examination and recommendations for further development
Improving knowledge and changing behavior towards guideline based decisions in diabetes care: a controlled intervention study of a team-based learning approach for continuous professional development of physicians
ChatGPT
Answer changing in multiple choice assessment change that answer when in doubt – and spread the word!
Simulated ward round training in the medical curriculum Munich
Publication activities of German junior researchers in academic medicine: which factors impact impact factors?
Learning to diagnose collaboratively: validating a simulation for medical students
Complexity of clinical cases in simulated learning environments: proposal for a scoring system
Digital teaching after the pandemic - enriching diversity of teaching methods and freedom for inclination-oriented learning?
JME has impact beyond the Impact Factor!
Acknowledgement to the reviewers of GMS Journal for Medical Education
Miteinander, voneinander und übereinander lernen - Ein interprofessionelles Lernprojekt zur Förderung der gemeinsamen Kommunikation
Assessment methods in medical specialist assessments in the DACH region - overview, critical examination and recommendations for further development
Improving knowledge and changing behavior towards guideline based decisions in diabetes care: a controlled intervention study of a team-based learning approach for continuous professional development of physicians
ChatGPT
Answer changing in multiple choice assessment change that answer when in doubt – and spread the word!
Simulated ward round training in the medical curriculum Munich
Publication activities of German junior researchers in academic medicine: which factors impact impact factors?
Learning to diagnose collaboratively: validating a simulation for medical students
Complexity of clinical cases in simulated learning environments: proposal for a scoring system
Digital teaching after the pandemic - enriching diversity of teaching methods and freedom for inclination-oriented learning?
JME has impact beyond the Impact Factor!
Acknowledgement to the reviewers of GMS Journal for Medical Education
Miteinander, voneinander und übereinander lernen - Ein interprofessionelles Lernprojekt zur Förderung der gemeinsamen Kommunikation
Assessment methods in medical specialist assessments in the DACH region - overview, critical examination and recommendations for further development
Improving knowledge and changing behavior towards guideline based decisions in diabetes care: a controlled intervention study of a team-based learning approach for continuous professional development of physicians
ChatGPT
Answer changing in multiple choice assessment change that answer when in doubt – and spread the word!
Simulated ward round training in the medical curriculum Munich
Publication activities of German junior researchers in academic medicine: which factors impact impact factors?
Learning to diagnose collaboratively: validating a simulation for medical students