SNA(Social Network Analysis)를 통한 고등학생의 온라인 토론에 나타난 온라인 상호작용 양상 분석

• 영문명: Analysis of Online Interaction Patterns in Online Debate of High School Students through SNA
• 발행기관: 한국교원대학교 뇌기반교육연구소
• 저자명: 김인혜(In-Hye Kim) 최숙기(Sook-Ki Choi)
• 간행물 정보: 『Brain, Digital, & Learning』제10권 제4호, 419~430쪽, 전체 12쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2020.12.31

영문 초록

This study was conducted to examine the interaction patterns of high school students in online debate and to find ways to activate them. An online discussion was conducted for 3rd grade high school students, and data was measured based on the direction and number of comments. Using NetData, igraph, and ggplot2 of the R package, the number and density of the connect line, the Degree centrality, Betweenness centrality, Eigenvector centrality were measured, and interaction patterns were derived through visualization work. Through density, the degree of interaction of the group was checked, and the number of comments and the participation of all members were confirmed to be affected. Participants with a high Degree centrality of connection had a higher Degree centrality in sending and a high rate of rebuttal of comments. It was confirmed that Betweenness centrality and Eigenvector centrality influenced the interaction of all members. Based on this, it suggested the need for learning to clarify and refute the conditions of online debate as a way to promote online debate among high school students.

목차

I. Introduction

II. Background

III. Method

IV. Results

V. Conclusions

키워드

Online debate social network analysis density degree centrality betweenness centrality eigenvector centrality