이 연구는 웹기반 협동학습에서 발생하는 상호의존성을 사회연결망분석을 통해 분석하고, 커뮤니케이션 연결망을 토대로 구성된 집단 유형에 따라 상호의존성이 차이를 보이는지를 밝혀 협동학습에 적합한 집단 유형을 제시하고자 하였다. 사전 설문조사를 실시하여 38명의 전체 연결망에서 3가지 집단 유형을 찾았고, 집단의 중앙성 지수(연결정도, 인접, 사이)를 분석하였다. 상호의존성을 밝혀내기 위해 2주간의 실험기간동안 웹 게시판에 나타난 집단 구성원의 관계를 중앙성 지수를 사용하여 분석하였고, 사전 설문조사 결과와 비교하였다. 연구 결과 웹기반 협동학습에서 발생한 상호의존성은 3가지 집단 유형 모두 상호의존성이 증가하였고 집단 유형에 따라 차이를 보였으며, 서클형 집단의 상호의존성이 다른 집단에 비해 증가한 것으로 나타났다.
The purpose of this study was to indicate the analysis possibility of interdependence using Social Network Analysis(SNA) and an appropriate group type using the communication network for effective web-based cooperative learning. The pre-test was used to find group types and relations. Whole networks of thirty-eight students are divided three group types(chain, circle, division) and relations of group members were analyzed using centrality(degree, closeness, betweenness) indices. Relations of group members showed web-board for two weeks were analyzed using centrality indices to find interdependence and this result was compared to centrality indices of the pre-test. The result of this study revealed that interdependence indices of three group types were statistically significant difference and the circle was very high.
The purpose of this study was to indicate the analysis possibility of interdependence using Social Network Analysis(SNA) and an appropriate group type using the communication network for effective web-based cooperative learning. The pre-test was used to find group types and relations. Whole networks of thirty-eight students are divided three group types(chain, circle, division) and relations of group members were analyzed using centrality(degree, closeness, betweenness) indices. Relations of group members showed web-board for two weeks were analyzed using centrality indices to find interdependence and this result was compared to centrality indices of the pre-test. The result of this study revealed that interdependence indices of three group types were statistically significant difference and the circle was very high.
