Methodology of Network Text Analysis for Pedagogic Research Trend Analysis

초록

In the field of education, traditional content analysis methods have been used in reviews of research literature. As unstructured text data accumulates and various methods to analyze such data have been developed, network text analysis (NTA) using text mining techniques are being widely used in review articles. However, it is difficult to find comprehensive guidelines for conducting NTA. Accordingly, this study reviewed the NTA methodology of 77 papers in the field of Korean pedagogy and analyzed the content of the subjects NTA in three areas: general characteristics, data preparation, and statistical analysis. The results of this study differed for the studies at each stage of the NTA. For future systematic research, we suggest performing a direct comparative study of each NTA procedure and providing clear guidance on the data preprocessing process through cooperation between educational experts and data analysts.

키워드

co-word network; keyword network; literature review; network text analysis; text mining; research trends; co-word 네트워크; 키워드 네트워크; 문헌 검토; 네트워크 텍스트 분석 (NTA); 텍스트 마이닝 (text mining); 연구 동향
제목
Methodology of Network Text Analysis for Pedagogic Research Trend Analysis
저자
이효림; 윤나라
DOI
10.18023/ijece.2022.28.2.007
발행일
2022-12
유형
Y
저널명
International Journal of Early Childhood Education
권
28
호
2
페이지
115 ~ 134