Research On The Construction And Application Of The Analysis Model Of College Students' Online Learning Behavior

In the era of rapid development of information technology,MOOC course video production is becoming more sophisticated,MOOC platform such as live broadcast,automatic statistical learning data function is becoming more perfect,learning activities such as making growth plans,self-evaluation and mutual evaluation are becoming more colorful,which undoubtedly give online learners a more comfortable learning experience.However,the superior MOOC learning environment can reduce the burden of teaching to a certain extent and increase the opportunities for students to acquire new knowledge,but it can not shorten the spiritual distance between teachers and students.Domestic researchers mostly use questionnaires,field interviews and other ways to investigate the learning behavior of college students in the online learning environment.In this case,the information collected is superficial,which can only reflect the external behavior state of online learners,and can not reflect the real learning behavior and internal reasons of online learners.However,with the continuous development of technology,Chinese scholars and relevant researchers began to use data mining tools,modern intelligent tracking software,etc.,to monitor and record the online learning behavior of contemporary college students in real time,so as to collect the most real online learning behavior data,and then conduct in-depth relevant analysis and research.Therefore,this research deeply analyzes the elements,characteristics and interaction modes of E-learning behavior,and constructs an analysis model of E-learning behavior.At the same time,the analysis results will be sorted out and visually fed back to online learners,university teachers / education managers,platform developers and learning resource builders of online courses,hoping to make the network Online learners have a clear and intuitive understanding of their own learning behavior characteristics and learning styles,and realize their own advantages and disadvantages;enable university teachers and education managers to grasp the learning dynamics of online learners in time,adjust and optimize the design of classroom teaching process,and appropriately intervene or remind online learners of their online learning process;make online course platform development According to the first-hand information of online learning of college students,students and learning resource builders can expand online courses and improve online learning platform.In addition,the author applies the constructed model to the specific online learning platform,taking the undergraduates in Hubei University as the research object,taking a MOOC course in the online platform of excellent courses as an example,collecting the information of students' learning time,learning progress,interaction and other information on the online learning platform included in the course as the data set,and taking the online learning of Undergraduates in Hubei University as the research object The learning behavior is analyzed statistically,and the learning motivation and learning style are explored.Finally,the corresponding improvement suggestions and measures are put forward according to the actual situation.