The Study Of Interactive In MOOC Based On Data Mining

With the rapid development of the Internet,the acquisition of learning resources tends to be more networked.Massive Open Online Courses(MOOC),as an emerging Online learning model,has become an indispensable part of the auxiliary education.As the rise of the three giants EDX,Coursera and Udacity in the United States,the global e-learning boom has become overwhelming.MOOC course in this learning boom led attracted broad knowledge of learners,this learning model is favored by learners because of its openness,streamlining,and easy accessibility.In the network learning across time and space,the interaction between learners and learners,learners and educators,as well as learners and teaching resources is particularly important.The discussion forums on the platform are directly or indirectly mapped out.The real situation of learners,educators,and administrators of online learning related personnel is an important part of online learning quality research.How to analyze the relationship between MOOC platform,learning resources,learners,and educators through interactive information.And the actual situation of learning is the research direction of this article.This research is based on data mining technology,using web crawler technology to obtain rich forum discussion forums of MOOC platform,forming a subject domain lexicon through word segmentation combined with Chinese corpus,and doing quantitative analysis based on statistical methods for data mining in MOOC discussion forum.In order to further understand the status quo of the discussion area interaction,the relationship between the interactors included in the interaction information of the discussion area is also extracted from the perspective of social network analysis,in order to extract the refined,brief and easy to understand valuable from a large number of interactive data sets.Interaction information.Through combing related papers such as MOOC,data mining and online interaction at home and abroad,this paper expounds the research significance,research content,research methods,research tools and organizational structure of the research;summarizes and summarizes the relevant research Concepts and theories provide theoretical basis for subsequent research;introduce data mining technology and its application in this research,and analyze and interpret the data acquisition process in the research.After analyzing the acquired MOOC discussion area interaction information,it is found that the classroom communication area of the liberal arts class is much more active than the sum of the teacher's question area and the comprehensive discussion area;there are a large number of unreacted zombie posts in the classroom exchange area,but the teacher answers questions.Most of the questions raised by the district can come to the answer;the science class teachers are more likely to participate in the discussion area interaction;the interaction of the discussion area is fluctuating,many learners have fewer speeches,only a very small number Active,including teachers.It is found that in the early stage of the opening of the MOOC course,the discussion area is in a state of cold and fresh posting.With the development of the course,the science courses are prone to strong interaction in the middle of the course,while the peak of the interaction of the liberal arts courses appears in the later stage of the course.The interaction similarity of the science curriculum discussion area is higher than that of the liberal arts curriculum.The similarity of the curriculum teacher's question and answer area is higher than that of the comprehensive discussion area.At the same time,in order to further analyze the specific situation of interaction,the social network analysis method is also used to make an in-depth analysis of the interaction data,and the "opinion leader" and "marginal personnel" in the discussion area are found,and the "learning society" existing therein is found.Finally,combined with the analysis results,explore the interactive strategy of the MOOC course forum.