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Analysis On The Problems Of Students' Online Learning Behavior Based On Statistics And Data Mining Technology

Posted on:2022-03-12Degree:MasterType:Thesis
Country:ChinaCandidate:R X ShanFull Text:PDF
GTID:2517306335478484Subject:Master of Applied Statistics
Abstract/Summary:PDF Full Text Request
Since the 21 st century,the Internet has gradually become a tool closely related to everyone,and the development of information technology has also made the online education model developed into a new model of modern education.Especially due to the impact of the 2020 epidemic,vocabulary such as online courses and Dingding have also become hot vocabularies in 2020.Modern online learning is supported by technologies such as computer networks and has the characteristics of being unconstrained in space,open in the system,and convenient for collaboration.Therefore,it is deeply loved by the education industry during the epidemic.Online distance education has become a hot spot in the education industry today.The research of online learning behavior,as the key to solving bottleneck problems such as online learning resource development and learning effect evaluation,has attracted more and more attention.Therefore,in this paper,the author conducts a research on modern online learning behavior from a statistical perspective combined with current popular data mining techniques,and finds out the shortcomings of current online learning behavior.After statistical analysis and data mining analysis of online learning behavior,the following conclusions are drawn:1.When there are other temptations,online learning is not focused enough,but frequently browses information that has nothing to do with learning.2.At present,students' understanding of Internet learning-related information is only at an introductory level,which has led to a large number of vacant learning resources for online learning and low resource utilization.3.Students lack self-control when doing online learning.It is embodied in the following: no plan when learning online,like a headless fly at a loss;some knowledge is only subjective to judge whether it is simple or not,do not practice,and the eyes are low;after the end of online learning,the review and summary are not timely.Lack of in-depth thinking.4.In the process of online learning,there is little collaboration with classmates or teachers and lack of collaboration ability.5.Students are not sensitive to the information that appears in the process of online learning,and do not remember deeply.6.On the Internet,it is very difficult to obtain learning resources for in-depth research of some majors.7.In online learning,because of the lack of supervision,students lack the enthusiasm and learning initiative like traditional learning.Based on the above conclusions,the author gives the following regulatory recommendations:1.Diversify monotonous online learning and enrich the learning styles so as to make students more active in online learning.2.Develop relevant campus and class systems to enhance students' self-control.The specific performance is: set up plans for students,and plan as detailed as possible,regularly check the completion of student plans and learning effects;let students take the initiative The enthusiasm of online learning has increased over time,allowing students to have a good learning habits and methods in online learning;when students perform online learning behaviors,they should be properly supervised,and the evaluation of students after online learning behaviors should be tracked.3.Let excellent learning resources be better pushed to students,enrich learning resources,and raise students' expectations for online learning.4.Comprehensive and no dead ends,so that students become mature in the quality of online learning behavior.From the perspective of learners,learners are now more inclined to use entertainment software,and learners should learn more about online learning related skills and the tools they need to use.Learners should be clear about their motivations for online learning,and their motivations should be correct.From the perspective of teachers,teachers should also be proficient in teaching-related operations and keep pace with the times to achieve better teaching goals.Actively improve their teaching ability on the Internet and conduct in-depth research on related subjects.Teachers should also assist in cooperation and exchange teaching experience.From the school's point of view,open a platform for teachers and students to improve the experience of campus network use,open the information library,and gradually develop library-related learning support services based on teachers and students.
Keywords/Search Tags:Online learning behavior, Statistical analysis, Data mining, Regulation recommendations
PDF Full Text Request
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