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Research On Visualization Analysis Of College Students' Online Learning Behavior In The Flipped Classroom Environment

Posted on:2018-06-23Degree:MasterType:Thesis
Country:ChinaCandidate:R Y PanFull Text:PDF
GTID:2347330512493797Subject:Education Technology
Abstract/Summary:PDF Full Text Request
With the development of information technology and the "Internet + education" era,all kinds of online learning to flourish.Internet learning is different from the traditional learning methods,students learning situation,learning effect is difficult to directly grasp.Therefore,the information on the interaction between students in the network learning,the use of learning resources,the students' learning trajectory and the learning effect can provide reference for teachers' teaching and students' learning.For the present analysis results,The degree of visualization is not high,the lack of deep-seated,targeted analysis,making the specific situation and effectiveness of online learning to grasp the deviation.In this study,literature analysis and quantitative analysis were used as the research methods.Mainly around the following content to study.First,through the literature analysis,the domestic and foreign related literature research status of combing,and to determine the development of the status quo in the field for the study of the proposed problem provides a strong research space to the existing theoretical basis as a support,Determine the purpose and meaning of the study.Second,this study refers to the three-dimensional S-F-T(Structure-Function-Teractive)classification model proposed by Dr.Peng Wenhui in the paper.Based on the characteristics of the study platform "Yue Xue Yi Xue",this paper constructs the network learning behavior of college students in the inverted classroom environment Classification model.Thirdly,this paper puts forward the idea of ? ? visualization,summarizes the characteristics of visualization and suggestions on the use of visualization.From the perspective of S-F-T classification model,R language is used to visualize the valid data in the platform,so as to excavate the students' learning style and learning preferences so as to provide better feedback to teachers and students and to serve in education and teaching.Through the analysis of the results of visualization technology,the hidden students behind the education and teaching related knowledge such as student learning style,learning preferences and other intuitive,the image of the presentation,so that teachers understand the students learning state,classroom teaching reflection,with a view to improve student learning and optimize the teaching strategies of teachers to provide support services.
Keywords/Search Tags:e-learning behavior, learning analysis, knowledge visualization
PDF Full Text Request
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