Interactive Process Of MOOC Learners Based On Dynamic Analysis

MOOC provides a large number of learners with rich and high-quality learning resources,featuring "large-scale,open and online",which attracts a large number of learners to participate in it.At the same time,online teaching resources are playing an increasingly important role to provide lifelong learning for the public.However,along with the rapid development of MOOC,the problems of low learning effect and low completion rate have affected the sustainability of MOOC.One of the potential reasons is that MOOC learners are separated from other learners and teachers in time and space,so they are easy to feel lonely and tired.Numerous research results show that good student-student interaction can effectively promote learners’ sense of belonging and presence,and thus improve the learning effect.Therefore,it is of great significance to analyze and study the process of learners’ online interaction,and clarify the evolutionary rules and characteristics of learner interaction,so as to improve the quality of interaction between students and students in MOOC discussion areas,enhancing the quality of MOOC teaching,and providing targeted strategic guidance for educators and managers.Normal learning state tracking and detection is an important way to improve learning effect,and online discussion text is an important process data of online learning,which contains a large amount of information.The analysis process can map the dynamic information of the change of interaction degree and emotional state of learners’ online discussion,which can depict the effect of learners’ online learning more systematically and accurately.Taking a look at the empirical studies on text analysis of online learning discussion at home and abroad,it is not difficult to find that few researchers take the online discussion text as the data carrier and make dynamic analysis of learners’ online learning process.Therefore,with the support of ternary interaction determinism,interaction theory and learning community theory,this study explores the evolution characteristics of learner interaction process in MOOC discussion area.Firstly,the content generated in the discussion area of Modern Educational Technology in the MOOC platform of Chinese universities is selected as the research data,and the validity and scientificity of the research data are ensured through data cleaning and screening.Then,based on ternary interaction determinism,a dynamic data analysis framework composed of interactive network,interactive content and interactive affective tendency is constructed.Next,this work carries out a dynamic analysis of the online interaction activities of this course.Finally,based on the dynamic analysis of learner interaction process in three dimensions,the evolution characteristics of online interaction behavior are revealed.Based on the dynamic analysis of learner interaction data,it can be concluded that,with the advance of time,learner interaction presents a short periodicity.From the perspective of interactive network,the activity degree of learners’ participation in interaction increases gradually,and then decreases gradually after reaching a peak.Among them,learner’s interactive initiative is significantly correlated with the location of social network nodes.From the perspective of interactive content,the content is closely related to the course,but learners gradually stay in the comment and reply to others’ opinions,rather than initiate new topics to attract more learners to participate.From the perspective of interactive emotion,learners tend to have strong emotion in the early stage,while in the middle and late courses,learners tend to express emotion as participants interact more frequentlyIt has a neutral outlook and an increasingly moderate emotional disposition.In general,although online learners actively interact in the early stage,the interaction depth remains at a stable low level and the range of change is small in the later stage.According to the above dynamic characteristics of learners in the interaction process,this paper puts forward relevant suggestions for educators and researchers from the aspects of online teaching organization,teaching platform construction,online interaction process organization,multiple evaluation methods and so on.