Research On Virtual Learning Community Support Mechanism

With the development of computer network technology, network-based virtual learningcommunity has also risen rapidly, virtual learning community in a personal lifelong learning,independent learning and professional development of teachers plays an important role. Becauseof its strong resources openness, interactivity and learning autonomy, etc., its application in thefield of education more widely, now has become a trend in this trend, various virtual learningcommunities, networks online learning space, endless forms of education and virtual learningcommunities actually spent a lot of manpower and resources to the construction of the effect isnot ideal, does not achieve the desired goal, many virtual learning communities Technically, thesystem is not perfect, visitors and members quantity are few, and even some nobody cares,registered members of a small number of students involved in learning enthusiasm is not high, soin this case, the study of virtual learning community support mechanism is a valuable work.Based on the analysis of K12forums, features an intuitive analysis, social network analysisand content analysis to analyze the interaction between virtual learning community supportmechanisms, the study of virtual learning between the various elements within the community,mutual promotion mechanism, through the The above analysis K12forum results suggestedvirtual learning community development strategy to guide the healthy development of virtuallearning communities can play its due role.In this study, the first forum on the K12forum posts by random sampling, the total number ofposts to get a sampling of30of the30posts and replies are analyzed to get community memberstogether to learn the data array that happen, and then carried on the occurrence matrix processing,access times among members of the community to participate in learning that the adjacencymatrix of the data obtained were analyzed using statistical data ucnet2.0draw community maps,and the center of analysis and subgroup analysis of cohesion and so on. By analyzing theoutcome of social network analysis, followed by the content but also on the communityknowledge building analysis, the first meaning of the message content encoding, and thenclassified according to the coding of the posts, classified according to the percentage share ofeach construct knowledge levels were analyzed, and finally the analysis of visual characteristicsforum K12were analyzed from a number of members, the degree of active discussion forumsreaction speed, UI, interface design technical level. Intuitive features of virtual learningcommunity analysis, social network analysis and content analysis method to constructknowledge for analysis, based on the K12forum suggested conclusions drawn from the analysisruns virtual learning community development, from the system level, the members, the knowledge construction, technical support and other aspects of development proposals give areasonable sum of this study, there are still deficiencies, and subsequent research projects.