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This study is an analysis of the research trends of the Korean Journal of Educational Research, the leading journal in the study of Korean education. In this paper, the semantic network analysis method that applies to social network analysis was used to measure the frequency of certain types of research themes in order to examine their connection centrality and network diagram. This paper examined 355 theses published from 2006 to 2015. The results of the analysis revealed that the keyword academic achievement appeared most frequently (34 times), followed by “self-efficacy,” (24) “learner,” (17) “curriculum,” (16) “education,” (14) “teaching and learning,” (13) and “multicultural education.” (13) In the network diagram, the keywords of “learner,” “sense of efficacy,” “private education,” “academic achievement,” “assessment,” and “curriculum” demonstrated high centrality. Among these keywords, a network was formed centering around words such as “learner,” “assessment,” “academic achievement,” “sense of efficacy,” and “curriculum.” In other words, this indicates that these keywords are often associated with the research process. In this study, moreover, a network text cluster map with a wide variety was formed. This demonstrated that the Korean Journal of Educational Research covers a range of study contents of subcategories within the field of education. This paper examines the core themes of education, their connectivity and connection centrality, and a map of network clusters.
Choi et al. (Sat,) studied this question.