Acceso usuarios
Javier Flores Cohaila, Ramón Ruesta-Bermejo, Carlos Gutierrez-Rios, Carlos Ramos-Godoy, Brayan Miranda Chavez, Cesar Copaja-Corzo
Resumen Introducción diseñar preguntas de opción múltiple (POM) con Microsoft Bing (Copilot) para evaluar su calidad e índices psicométricos en educación médica. Material y métodos se diseñó un examen de 180 preguntas con Microsoft Bing. Este fue evaluado por educadores médicos en términos de relevancia y calidad de distractores. Luego, tras administrarse a estudiantes, se calcularon los índices de dificultad y discriminación. Resultados la mayoría de preguntas fueron de alta relevancia y los distractores de alta calidad. Los índices de discriminación y dificultad de las preguntas fueron aceptables en la mayoría de preguntas. Conclusión Microsoft Bing (Copilot) podría usarse como sustituto de ChatGPT para el diseño de POM dadas las evidencias de validez recolectadas en el estudio. Introduction To design multiple-choice questions (MCQs) using Microsoft Bing (Copilot) and evaluate their quality and psychometric indices in medical education. Materials and methods A 180-question exam was designed using Microsoft Bing. It was evaluated by medical educators in terms of relevance and distractor quality. After administering the exam to students, difficulty and discrimination indices were calculated. Results Most questions were highly relevant, and the distractors were of high quality. The discrimination and difficulty indices were acceptable for the majority of the questions. Conclusion Microsoft Bing (Copilot) could be used as a substitute for ChatGPT in designing MCQs, given the evidence of validity collected in the study.
Introduction: To design multiple-choice questions (MCQs) using Microsoft Bing (Copilot) and evaluate their quality and psychometric indices in medical education Materials and methods: A 180-question exam was designed using Microsoft Bing. It was evaluated by medical educators in terms of relevance and distractor quality. After administering the exam to students, difficulty and discrimination indices were calculated.
Results: Most questions were highly relevant, and the distractors were of high quality. The discrimination and difficulty indices were acceptable for the majority of the questions.
Conclusion: Microsoft Bing (Copilot) could be used as a substitute for ChatGPT in designing MCQs, given the evidence of validity collected in the study.
