빅데이터 분석을 통한 여성스포츠의 학문적 지식체계 분석

Mapping the Academic Knowledge Structure of Women’s Sport through Big Data Analysis
  • 서금란; 
  • 김수진

초록

This study explored the knowledge structure of research on women’s physical education and sport within Korean kinesiology from 1995 to 2024. A total of 2,779 KCI-indexed articles related to women’s physical education and sport were analyzed using topic modeling. In the period 1995–2004, six major topics emerged: Mental and metabolic health benefits, physical fitness and musculoskeletal health, youth fitness development, quality of life through leisure participation, exercise-based therapy, and obesity management. From 2005–2014, three topics were identified: Physical function and health promotion, leisure satisfaction and psychological well-being, and athlete education and health behaviors. In 2015–2024, three additional topics were observed: Health-centered leisure and educational approaches, sport participation experiences and satisfaction, and functional recovery and health management. Early studies predominantly emphasized physical health and leisure-related benefits, later extending to psychological dimensions,and more recently advancing toward a multidimensional perspective that integrates physical, psychological, and educational aspects. This macro-level analysis highlights the evolving trajectory of women’s sport research in Korea and provides foundational insights to guide its future development.

키워드

Big Data Analysis; Topic Modeling; Women’s Sport; Knowledge Structure; 빅데이터 분석; 토픽모델링; 여성스포츠; 여성체육; 연구동향
제목
빅데이터 분석을 통한 여성스포츠의 학문적 지식체계 분석
제목 (타언어)
Mapping the Academic Knowledge Structure of Women’s Sport through Big Data Analysis
저자
서금란; 김수진
DOI
10.16915/jkapesgw.2025.10.39.0.31
발행일
2025-10
유형
Y
저널명
한국여성체육학회지
권
39
페이지
31 ~ 50