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초록
Objectives In this study, relationship between kewords from domestic studies related to online based collaborative learning published from 2003 to 2021 were analyzed through keyword network analysis. Methods Among the studies on online based collaborative learning, academic journals in the field of education were selected. Then, articles were divided by year, and the author selection keywords were selected as keywords for centrality analysis. Centrality analysis was conducted based on the frequency of keywords. Results The results of centrality analysis based on the author-selected keyword are as follows. Keywords such as ‘web-based’ and ‘problem-based’ were prevalent between 2003 and 2010, keywords such as ‘interaction’ and ‘communication’ between 2011 and 2018, and ‘self-regulated learning’ between 2019 and 2021. Conclusions Keywords network analysis is a method that can confirm online based collaborative learning research trends from a more macroscopic perspective, and it is necessary to explore, compare, and analyze various interactive factors in the future research.
키워드
- 제목
- 키워드 네트워크 분석을 활용한 온라인 협력학습 동향 탐색 연구
- 제목 (타언어)
- A Study on the Research Trends to Online Collaborative Learning through Keyword Network Analysis
- 저자
- 김민정; 최서현; 이수정; 김동식
- 발행일
- 2022-03
- 저널명
- 학습자중심교과교육연구
- 권
- 22
- 호
- 5
- 페이지
- 753 ~ 766