E-learning Team Structure The Learning Outcomes

With the popularity and development of INTERNET technology, the virtual interpersonal relations compared to face-to-face interaction human relations has emerged in the virtual space , and the virtual human interaction, as well as the maintenance of the model have developed one based on individual interest and expertise Virtual Community which called virtual communities. The emergence of virtual communities not only changed the form of day-to-day contacts, but also had a profound impact on Network Learning. Many universities provide some kinds of internet communication mode as a complementary model of traditional face-to-face teaching model, or offer entire online courses .Social scholars have been concerned about the virtual community's interpersonal patterns, characteristics and so on, which also gradually aroused the interest of E-learning researchers. In the research of Network Learning Community, characteristics of the participation of learners have gradually entered the topic of analysis. But research about groups'impact on the learning outcomes is almost a blank paper. Through a virtual learning space, with a view from the micro and macro perspective, the relationship between the structure of collaborative learning groups and the result of learning has been discussed on the basis of in-depth description and certification. In this paper , the specific methods used include the network analysis methods which complemented by social statistics analysis method.The first part of this paper introduced the background of the study, as well as specific issues. In the second part, some related concepts have been introduced, Virtual Learning Community, collaborative learning and social network software, etc. The third part of the paper discussed in detail the analysis method of study communities - social network analysis methods. Several Network Analysis terminology and Network Analysis Guidelines and related analysis software are introduced briefly. The fourth part had described several of the Institute's propositions and the research methodology, and described study object in a detail. In the fifth part, according to the foregoing purpose, structure and assumptions of the study, used appropriate methods of data analysis to valid samples of the study for further analysis and statistical analysis of the results were explained and discussed. Based on empirical analysis the conclusions of the structure of the team's impact on study had been reached. In the last part of this paper summarized the results of this study, and the author points out he limitation of this research and suggests future research plan.In this paper the characteristics of study is from the sociologist's point of view to research various factors which impact the result of network learning team. The conclusion of the study shows that the team structure and microscopic structure of interaction are relevant and compared to the Star and the chainlike structure, the micro-mesh structure is better to team learning; Group centrality of team also affects results of the study, research shows that, not centralized and decentralized teams are more conducive to the transmission and sharing of knowledge and collaborative problem solving; Although the network density characterizes the level of the members of the group interaction frequency in a certain extent and reflects the vitality of the group, but the network density and team performance related research shows that the Internet density has no significant impact on the results of the study team; If the team has only small groups but no bridges, it is not conducive to the completion of the task of team; the team which includes both of them has the better performance, and it is helpful for collaborative team to solve problems and to complete the task of study.