A Practice Research On The Application Of Social Network Analysis Technology In Moodle Network Course

Today’s rapid development of information technology and network technology to promote an online interactive platform and database technology to flourish in the field of education and applications, network independent course, shared, open daily features make it an excellent traditional education has played a complementary role However, because of its technical complexity, how to effectively analyze large amounts of data generated in the process of teaching, research student in the process of student behavior and learning methods, has become a major problem in many of the instructor.Learners through online communication platform for online course to form a virtual network of social relations. This transfer of information can be performed in addition to social networks in the community. Exchange, sharing of knowledge, but also there are strong links and relationships weak ties networking features. Therefore, the virtual learning community collaboration and communication will be affected by various factors. As a member of Motivation, positive degree, satisfaction.This article will focus on the use of analytical techniques in the study of social network analysis to the extent the strength of the online course between individual users, network infrastructure, community involvement and motivation satisfaction and other factors were studied. To promote the healthy development of online continuing course of teaching and learning. In the learning data Moodle courses IT courses for a junior secondary classes used in the generation of source, with central analysis, small group analysis and density analysis and other quantitative measurements to establish visual graphics, to members of the class in the learning process learning feature to make some analysis, and dissemination of information further interpersonal characteristics of the network community were summarized, and the instructor’s course design a number of recommendations to promote the sustainable development of the virtual online leaning platform.First, sort out a large number of documents, find the point of integration and evaluation of collaborative learning social network analysis, and based on ideological and social network analysis approach is designed to collect data and relational data ideas. Then, select the specific content of teaching students to organize collaborative learning experiment in the process, the phone Moodle learning platform and access to data recorded in the observation scale, the course after issuing questionnaires to collect data and conduct interviews for teachers and individual students.Finally, social network analysis software Ucinet 6.0 relational data collected for statistical and process, and the results and attitude data for correlation analysis, to find the link between the two, the study hypotheses.The results show that the use of social network analysis to evaluate Moodle learning students is a scientific and effective analysis, evaluation methods, to make clearer and more intuitive relationship between students, learning to find the problems.