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https://doi.org/10.6018/edumed.612381


Título: | A Prompt for Generating Script Concordance Test UsingChatGPT, Claude, and Llama Large Language ModelChatbots |
Fecha de publicación: | 2024 |
Editorial: | Universidad de Murcia. Servicio de publicaciones |
Cita bibliográfica: | Revista Española de Educación Médica. Vol. 5 Núm. 3 (2024) |
ISSN: | 2660-8529 |
Materias relacionadas: | CDU::0 - Generalidades.::00 - Ciencia y conocimiento. Investigación. Cultura. Humanidades. |
Palabras clave: | Script concordance test Clinical reasoning Medical education Artificial intelligence ChatGPT Automatic item generation |
Resumen: | Medical education always evolves to incorporate more tools for specific needs in assessing clinicalreasoning skills. Among these tools, Script Concordance Test (SCT) has a particular importancedue to its focus on assessing decision-making in uncertain clinical situations. However,development of SCT items is effortful. Artificial intelligence tools, such as large language models,offer significant benefits. These models are already used for generating multiple-choice questions,and their use in generating SCTs offers great promise. However, this requires well-designedprompts to generate SCTs. This article proposes a generic prompt for the ChatGPT-4, Claude 3,Llama 3, and ChatGPT-4o large language model chatbots to generate SCTs, which can be tailoredto various fields of medicine and different stages of medical education. It can help to streamlinethe development process of SCTs. Initial findings are promising, and there is a need for generatingSCTs using large language models and conducting research to assess the quality of SCTs |
Autor/es principal/es: | Kıyak, Yavuz Selim Emekli, Emre |
URI: | http://hdl.handle.net/10201/146547 |
DOI: | https://doi.org/10.6018/edumed.612381 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 8 |
Derechos: | info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
Aparece en las colecciones: | Vol. 5 Nº 3 (2024) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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Manuscript_SCT_v2.pdf | English | 235,63 kB | Adobe PDF | ![]() Visualizar/Abrir |
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