Author(s): Lin Xuefen
Pages: 80-86
Year: 2015 Issue:  1
Journal: Distance Education Journal
Keyword:  Collaborative learning; Collaborative project-based learning; Social network analysis; Interaction network; Inter-action analysis;
Abstract: Interaction analysis is the core of exploring learning rules and grasping the changing process of collaborative learning. After an 7-week experiment, the results showed that the entire social network connections, density, reciprocity, distance, clustering coefficient are improved at different levels by means of data processed by SNA software Ucinet and SPSS. The study also found a high degree of interaction within the group, but a low degree of inter-group interaction. Besides, group density is extremely positively related to team performance, and E-I index of cohesive subgroups can reflect interaction degree to a certain extent, esti-mating whether learning is effective. Last but not least, centrality can reflect the activity level of members and subgroups, but it is not useful for learning performance.