The Study Of Interactive Behaviors In Online Class Based On Social Network Analysis

Compared with the traditional class,teachers and students lack of face to face communication in online class,learners interact with teachers and other learners mainly through a variety of communication platforms,interactive behavior is the core of the online class, research the interactive behavior of the online class is significant to improve the learning and teaching of the online class.In online class, learners exchange emotion, transfer information, share knowledge through a variety of platform will gradually form a certain social network,which is an important basis for online class, it is the interactional patterns of the online class and can help us understand the relationship and interactive behavior between members of the online class.This paper takes the online class of "Modern Education Technology " as an example which opend by Central China Normal University,using social network analysis, describe the social network of the online class and analyze the interactive behavior of the learners,find the main factors of affecting the interactive behavior and explore the relation between interactive behavior and learning effectiveness of the learners by related analysis,and provide some suggestions and strategies for learning and teaching of the online class.The paper is divided into six parts:(1) Introduction. In the part,several aspects are elaborated,such as the research background, research situation, research objective,significance,methods and so on.(2)The related concepts.Introduces the related concepts of the online class,interactive behavior,social network and the social network analysis.(3)The introduction of the online class "Modern Educational Technology ".This part introduces the nature of the online class and how the online calss" carry out and evaluate.(4)The social network analysis of the online class.This part introduces how to get the data of the interactive relationship from the QQ and YY platform and store it in the matrix,then map out the diagram of the social network and calculate the density,centrality,cohesion and core-periphery structure of the social network.(5)The related analysis.This part introduces the related analysis of the gender, learning style and point degree centrality,the QAP analysis of the gender, profession, the grouping and the relationship between learners,the related analysis of the centrality and core-periphery structure with the course grade.Finally,raises the strategies according to the study conclusions. (6)The final part summarize the research results of the thesis, analyze the deficiency of the study and the further assignment in the future.