A ChatGPT Prompt for Writing Case-Based Multiple-ChoiceQuestions

Abstract

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.