Research On Interactive Behavior Of Online Learning Forum Based On Social Network Analysis

With the rapid development of information technology,"online learning" has penetrated into people's daily work and study.Studying the theory and practice of online learning in the context of the Internet era has become one of the most concerned issues in today's academic circles.Among them,interaction is the most typical feature in online learning.Therefore,based on the research perspective of social network analysis,this paper analyzes the interaction behavior of online learning participants in the course forum,and analyzes the network structure characteristics of different nodes by constructing a relational network based on learner interaction data,and summarizes on this basis.The different behaviors of learners provide an effective means of visualizing the curriculum management of online learning.To this end,this paper selects a public elective course of the Beijing University of Posts and Telecommunications Love Class Platform,and conducts in-depth research as a case.The course was conducted in a combination of online and offline teaching for a total of 17 weeks,including 31 members,including 1 teacher and 30 students.All members of the course participated in the discussion.This paper has the following findings:(1)The interaction behavior has procedural characteristics,and the interaction object and interaction strength will be established and increased in the interaction process.Interaction also has a phased feature.As long as a member participates in an online learning interaction at a certain stage,it will deeply affect the position and influence of the member in the overall interactive network(2)According to the location of the individual member interaction network,four types of online learning members can be summarized,namely core members,secondary core members,secondary edge members and edge members.Both core and subcore members are located in the middle of the network and have a high degree of participation in online learning as a whole,with the difference that core members can participate in interactions continuously,while subcore members cannot.The secondary edge members and the edge members are located at the edge of the network.As a whole,the online learning participation is low.The difference is that the objects of the secondary edge members interact with the core members or the secondary core members,while the edge members only have the edge members and the secondary edge members.There are interactions.(3)It is found that the centrality of learners in the interactive network has a significant impact on academic performance.Specifically,the number of learner interaction objects,the strength of the learner acting as a communication medium between small groups,the initiative of the learner to undertake information dissemination,the closeness of the core members in the learner and the interactive network,and the learner versus others The six behaviors of attention and the output of the learner's valuable content have a positive correlation on academic performance.Based on the research results,explore strategies and suggestions to promote online learning interaction behavior:(1)improve the service ability and user satisfaction of online learning platform(2)teachers should improve the curriculum entry threshold,design flexible teaching programs,attention Interact the network and adjust the interaction strategy in time;(3)Forum members should always pay attention to the course dynamic interaction and actively participate in the relationship network.The main innovations of this paper are as follows:(1)Innovation at the content level:Based on the classification characteristics of core-edge individuals,the paper extends the concept characteristics of sub-core-sub-edge individuals according to the research data,builds a research system of core-sub-core-sub-edge-marginal groups,enriches the research level and content(2)Innovation of research methods:The full text is in the literature review.In the main part,bibliometrics,case studies and social network analysis are used to enrich the research methods of interactive behavior in online learning forums.