Research On Online Learning Behavior Analysis Model In Big Data Environment

The rapid development of Internet technology and education information technology has speeded up people's learning and changed the way of thinking and cognitive.Online learning model quickly rise and has been widely recognized.This new way of learning and education model,will drive the education of information technology reform and innovation.The rapid development of online learning also faces some challenges,lower course completion rate and the user's loss of the phenomenon is occurred frequently in the online learning platform.In order to find out the reasons for the formation of this situation,in the context of Big data,analyzing the large number of users' learning behavior data recorded in the online learning platform.Through tracking the learning behaviors generated by the users in the learning process and get the analysis results,we can provide some guidance for teachers and platform managers to monitor and interpose learners to learn.Therefore,on the basis of summarizing the current situation of online learning behavior and related theoretical research,this paper first defines the connotation of online learning behavior,and introduce the theory of artificial intelligence into the classification of online learning behavior from structural dimension,functional dimension and mode dimension.On the basis of associated factors and driving force,this paper provides the overall architecture of online learning behavior analysis model under big data environment.Secondly,according to the overall architecture of the analysis model,the analysis model is constructed from left to right and top to down under the big data environment.The online learning behavior data model is constructed from the multi-dimensional and multi-level perspective to determine the source,method and process of data collection.After that,designs the horizontal and longitudinal processes of the online learning behavior analysis model.On this basis,using the big data processing technology on the online learning behavior analysis model in all aspects of the specific algorithms involved in the implementation.Finally,we chose the online learning platform of Harbin University of Science and Technology to do empirical analysis.In-depth study from the following three aspects:the learning behavior clustering analysis based on K-means algorithm,the individualized course recommendation analysis based on Page Rank algorithm and the correlation analysis of learning effects.And according to the analysis results provide the application effect and revelation.This paper enriches the theory and application ofbehavioral science and artificial intelligence,and deeply studies the online learning behavior analysis model,which not only provides the theoretical basis and data standard for the acquisition and analysis of behavior data,but also facilitates the refinement and professionalism teaching management of teachers and platform managers,to promote the rapid development of China's education information has important guidance suggestion.