Analyzing research trends after the international journal transition of the Korean Journal of Medical Education: using topic modeling techniques

Abstract

PURPOSE: This study aimed to analyze the research trends of the Korean Journal of Medical Education (KJME) since it became an English-language journal. METHODS: A total of 274 articles published in KJME from 2016 to 2023 were analyzed. All article types were included in the analysis. NetMiner ver. 4.0 (Cyram Inc., Korea) was used for the main keyword and topic modeling analysis. RESULTS: Of the 274 articles, 170 (62%) and 104 (38%) were by domestic and international authors, respectively. The main keywords with high frequency were students, learning, experience, pandemic, and perception. Three topics were derived using topic matching analysis: residents' perception and attitude of the pandemic, assessment of learning and achievement, and learning experiences in the pandemic. CONCLUSION: Since the shift to English-language journals, medical education research has witnessed an increase in the number of articles published by international authors. Research on postgraduate education has increased. Research topics are relevant to situations such as the coronavirus disease 2019 pandemic. These findings can help researchers select research topics and encourage them to submit their research to the journal.