A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions

he significant challenge faced by medical schools is the effortful process of writing a highquantity of high-quality case-based multiple-choice questions (MCQs) to assess the higher-orderskills of medical students. The demand for a high volume of MCQs in education has led to thedevelopment of Automa...

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Detalles Bibliográficos
Autor: Selim Kiyak, Yavuz
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Murcia
Repositorio:DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
OAI Identifier:oai:digitum.um.es:10201/137079
Acceso en línea:https://doi.org/10.6018/edumed.587451
http://hdl.handle.net/10201/137079
Access Level:acceso abierto
Palabra clave:Automatic item generation
ChatGPT
Multiple-choice questions
Artificial intelligence
Medical education
CDU::6 - Ciencias aplicadas::61 - Medicina
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spelling A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestionsSelim Kiyak, YavuzAutomatic item generationChatGPTMultiple-choice questionsArtificial intelligenceMedical educationCDU::6 - Ciencias aplicadas::61 - Medicinahe significant challenge faced by medical schools is the effortful process of writing a highquantity of high-quality case-based multiple-choice questions (MCQs) to assess the higher-orderskills of medical students. The demand for a high volume of MCQs in education has led to thedevelopment of Automatic Item Generation (AIG), specifically template-based AIG, whichinvolves creating cognitive and item models by subject matter experts to generate hundreds ofMCQs at once using software. It demonstrated significant success in various languages and evenbeing incorporated into national medical licensure exams. However, this method still heavilydepends on the efforts of subject matter experts. This paper introduces a detailed ChatGPT promptfor quickly generating case-based MCQs and provides important research questions for futureexploration into ChatGPT's potential in generating items, signaling the beginning of the artificialintelligence era in medical education, encouraging health professions education researchers todelve deeper into its potential.Universidad de Murcia. Servicio de publicaciones202420242023info:eu-repo/semantics/articleapplication/pdf6application/pdfhttps://doi.org/10.6018/edumed.587451http://hdl.handle.net/10201/137079reponame:DIGITUM. Depósito Digital Institucional de la Universidad de Murciainstname:Universidad de MurciaInglésSin financiación externa a la Universidadinfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:digitum.um.es:10201/1370792026-05-27T12:40:41Z
dc.title.none.fl_str_mv A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions
title A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions
spellingShingle A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions
Selim Kiyak, Yavuz
Automatic item generation
ChatGPT
Multiple-choice questions
Artificial intelligence
Medical education
CDU::6 - Ciencias aplicadas::61 - Medicina
title_short A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions
title_full A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions
title_fullStr A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions
title_full_unstemmed A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions
title_sort A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions
dc.creator.none.fl_str_mv Selim Kiyak, Yavuz
author Selim Kiyak, Yavuz
author_facet Selim Kiyak, Yavuz
author_role author
dc.subject.none.fl_str_mv Automatic item generation
ChatGPT
Multiple-choice questions
Artificial intelligence
Medical education
CDU::6 - Ciencias aplicadas::61 - Medicina
topic Automatic item generation
ChatGPT
Multiple-choice questions
Artificial intelligence
Medical education
CDU::6 - Ciencias aplicadas::61 - Medicina
description he significant challenge faced by medical schools is the effortful process of writing a highquantity of high-quality case-based multiple-choice questions (MCQs) to assess the higher-orderskills of medical students. The demand for a high volume of MCQs in education has led to thedevelopment of Automatic Item Generation (AIG), specifically template-based AIG, whichinvolves creating cognitive and item models by subject matter experts to generate hundreds ofMCQs at once using software. It demonstrated significant success in various languages and evenbeing incorporated into national medical licensure exams. However, this method still heavilydepends on the efforts of subject matter experts. This paper introduces a detailed ChatGPT promptfor quickly generating case-based MCQs and provides important research questions for futureexploration into ChatGPT's potential in generating items, signaling the beginning of the artificialintelligence era in medical education, encouraging health professions education researchers todelve deeper into its potential.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.6018/edumed.587451
http://hdl.handle.net/10201/137079
url https://doi.org/10.6018/edumed.587451
http://hdl.handle.net/10201/137079
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sin financiación externa a la Universidad
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
6
application/pdf
dc.publisher.none.fl_str_mv Universidad de Murcia. Servicio de publicaciones
publisher.none.fl_str_mv Universidad de Murcia. Servicio de publicaciones
dc.source.none.fl_str_mv reponame:DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
instname:Universidad de Murcia
instname_str Universidad de Murcia
reponame_str DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
collection DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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