ABSTRACT

The purpose of this study is to analyze the characteristics of topics by period and identify research trends by using text mining techniques in papers published in ‘Korea Journal of Research in Music Education (KJRME)’, a representative academic journal for music education in Korea. Using text network analysis, abstracts of a total of 621 published papers were analyzed using the Python program. conclusions are asfollowing. First, the tendency of domestic music education is student-centered. Second, according to the frequency analysis by period in KJRME, there were many basic and general studies at the beginning of the study. Third, as a result of topic modeling of KJRME, domestic music education has been studied with various themes.

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