토픽모델링과 의미연결망 분석을 활용한 중등학교 학기제 교육실습 연구 동향 분석

초록

This study aimed to analyze studies on semester-based educational practices in secondary schools using topic modeling and semantic network analysis. We examined 23 studies related to semester-based educational practices in secondary schools, as listed by the KCI, utilizing text mining techniques from 2022 to July 2025. The term frequency (TF) analysis showed that semester-based educational practice, teaching practice, and classes appeared frequently. The TF-IDF analysis identified study, participation, analysis, and semester-based educational practice as highly ranked terms. From the LDA (Latent Dirichlet Allocation) analysis of semester-based teaching practices, two main topics emerged: (1) study on semester-based teaching practice policy, and (2) collaborative operations of semester-based teaching practices. The semantic network analysis revealed the following for each topic: Topic 1 included terms such as study, semester-based teaching practices, analysis, and teachers, while Topic 2 comprised semester-based teaching practices, study, cooperation, and implementation. This study is significant as it utilizes text mining to analyze studies on semester-based teaching practices in secondary schools, draws insights from past trends, and seeks to explore future directions in this field.

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