AI Integration in MCQ Development: Assessing Quality in Medical Education: A Systematic Review

Abstract

This systematic review focuses on examining how artificial intelligence is included in multiple-choice questionsand how this affects the efficacy and quality of assessments used in education. Several papers investigating theapplication of artificial intelligence in multiple-choice question creation have been found through a thoroughliterature analysis. The present study employed a systematic literature review to comprehensively analyze theexisting literature and underscore the effects of incorporating artificial intelligence into creating multiplechoicequestions on the standard and efficacy of assessments used in education. Between January 2019 andJanuary 2024, we examined papers from credible publications, concentrating on sixteen chosen articles for indepth examination. The results show how artificial intelligence can revolutionize traditional evaluationmethods in education by improving the accuracy, efficiency, and diversity of multiple-choice questions. Whileartificial intelligence models like ChatGPT, Bard, and Bing have shown encouraging results in creating multiplechoice questions, issues with validity, complexity, and reasoning ability still need to be addressed.Notwithstanding its drawbacks, artificial intelligence-driven multiple-choice question holds great potential forenhancing evaluation processes and enhancing educational opportunities in a variety of subject areas. ThisSystematic review highlights the necessity of further research and advancement to fully utilize artificialintelligence in creating multiple-choice questions and its incorporation into frameworks for educationalassessments.

Ähnliche Arbeiten