Research On Learning Data Analysis Based On Online Learning

With the rapid development of hardware technology,the use of mobile phone computers has become more and more frequent.At present,the popularity of the Internet is getting higher and higher,and the traditional education field has begun to be hit by technology.The gradual integration between the two,and rapid development,has made great achievements.Different from traditional school classroom education,e-learning is not limited to time and space because it can learn anytime,anywhere.More and more people begin to use the online learning platform for knowledge point learning,but the learning effect of online learning is not satisfactory.As a concentrated area of students,colleges and universities remove daily course study.Students are willing to study some courses online independently.However,the reality is that the enthusiasm of learning was high at the beginning,and most students can not complete the course study within the stipulated time Many students are often halfway through the process without continuing to learn online.With the wave of big data sweeping the globe,the concepts and technologies of big data have also gradually influenced the field of education.Students learn online online through an online learning platform,which generates a large number of huge amounts of procedural learning behavior data.In this research,Eloquent superplatform eloquence art and social etiquette courses as a case study,in the context of big data,the use of learning and analytic techniques based on a large number of data generated by online learning students to study the impact of online learning impact factors and between Using the literature analysis method to analyze the significance and background of the study,and to design a detailed research program,using the background data of the learning platform for SPSS statistical analysis to explore the impact and relevance of learning behavior elements on learning outcomes,using social networks Analytical approach to student interaction on the platform,through the analysis of these data,contrast and summarize the results give reference to improve the effectiveness of online learning.