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Jamovi, an open-source software for teaching data literacy and performing medical research (1)

Journal of Korean Medicine Education / Journal of Korean Medicine Education, (E)2983-3973
2023, v.1 no.2, pp.28-36
https://doi.org/10.23215/JKME.PUB.1.2.28
Han Chae (School of Korean Medicine, Pusan National University)

Abstract

Background; The importance of data science and data literacy in medical education is steadily increasing. However, there are challenges in teaching, learning, practicing, and comprehending these concepts in the medical educational field due to the lack of suitable software. The purpose of this study was to introduce the features and usage of Jamovi for immediate application in medical statistics classrooms. Methods and Results; This paper presents recent trends related to data literacy and provides step-by-step guidance on the key features, installation methods, screen layout, and essential usage of Jamovi, supplemented with screenshots. Discussion and Conclusion; An alternative was proposed for data literary education in the evolving medical education environment, known as eLearning. Jamovi is expected to enhance academic achievement of students and alleviate the workload of educators in medical education and research.

keywords
Data literacy, eLearning, jamovi, Medical education, Medical statistics, Screenshot
Submission Date
2023-10-18
Revised Date
2023-10-26
Accepted Date
2023-11-11

Journal of Korean Medicine Education