소셜 네트워크 분석(SNA)을 활용한 가정교육학의 지식구조 탐색: 한국가정과교육학회지에 게재된 논문을 중심으로

Abstract

This study aims to explore the knowledge structure of the field of home economics education. To achieve this, the knowledge network of the field of home economics education was analyzed using social network analysis on 758 articles published between 2004 and 2023, focusing on those in the Journal of Home Economics Education Research. The main findings of the study are as follows: First, the knowledge network exhibited charac teristics of a small-world network. Papers on children, family, and career maturity significantly influenced the knowledge structure. Second, the knowledge structure is centered around the home economics subject and curriculum and is organized into four groups. A temporal analysis revealed that the influence of core keywords such as perception, content, unit, home economics teachers, practice, behavior, and influence has decreased, while the influence of curriculum, textbook, and development has shown a trend of increasing. Third, the sub-knowledge structures were identified as seven categories. The study found that the influence of ‘perception and demand for home economics education’ is decreasing, whereas the influence of ‘home economics curriculum and textbooks’ and ‘application of home economics teaching and learning process’ is increasing. Additionally, ‘adolescent self-esteem and family relationships’ and ‘home economics curriculum and textbooks’ were found to be the most influential in the knowledge structure of home economics education. This research is significant as it demonstrates the temporal changes in the core keywords and sub-structures of the knowledge structure within the field, thereby providing a foundation for understanding and expanding the research knowledge structure in the field of home economics education.