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Analysis Of Middle School Students' Online Learning Behavior And Influencing Factors

Posted on:2021-03-15Degree:MasterType:Thesis
Country:ChinaCandidate:H X XueFull Text:PDF
GTID:2517306092990859Subject:Education Technology
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As the information technology changes and technological level increases rapidly,education informatizatioin,as an important content of the cross-century education reform,which has been valued by countries around the world,such as UNESCO's "Educational Informatization Promotes Teaching Reform" Plan,American "Information Infrastructure" and"Information Highway" Plan,Europe an Union's "Eureka Plan",etc.China's "Education Informatization 2.0 Action Plan" also advocates the deep integration of information technology and education,the establishment of new forms of talent training,the construction of a learning society and the realization of lifelong learning for all people.As an important part of education informatization,online education can promote the progress of education informatization.However,for a long time,it has been unilateral penetration of information technology into the field of education,since the reform of education is always related to the fate of a family,the model of online education has no opportunity to be accepted by more students and parents.However,more emerging online education platform has brought an unique opportunity to online education,and it is also the first time when the education field actively seeks help fr om information technology.The author sorts out and analyzes the current status of online learning behavior research through literature research methods,then collects online learning data of middle school students in a city through questionnaires and interviews,afterwards uses SPSS for statistical analysis to analyze the micro and macro factors of influencing online education behaviors of middle school students.At the same time,the author adopts the SOM algorithm to cluster data,combining behavioral learning theory and cognitive theory,reversely analyzes the data to get the four types of learning:impulse field dependence,impulse field independence,contemplation field dependence,and contemplation field independence.Finally,based on above four types,the author combines the background data of Hucheng Cloud Classroom to individually describe each middle school student so as to improve the service quality and the student's learning experience on the platform.This paper summarizes the current status of online education research in recent years and conducts micro-and macro-analysis on the factors of influencing middle school students'on line learning behaviors respectively and proposes solutions.In addition,it classifies the online learning behaviors of middle school students and analyzes the different characteristics of different learning behavior groups.Finally,through the modeling of online education learning behaviors,it individually describes each student's learning behaviors to provide a practical basis for online education activities and relevant theoretical basis for subsequent research,which promotes the process of education informatization and also provides a research basis for building a learning family and learning society and realizing the goals of universal learning and lifelong learning.
Keywords/Search Tags:Online education, Cluster analysis, Type of learning, Education informatization, Online learning behavior
PDF Full Text Request
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