A Preliminary Study On The Application Of Educational Data Analysis Technology In High School Physics Teaching

With the continuous development of information technology,the application of data analysis technology in high school education can help teachers to analyse student's study situation,to improve the teaching strategy and to enhance teaching efficiency.This thesis adopts the literature research method to explain the concept and development of educational data analysis technology.Data from one high school of Panzhihua is used to do the research.By the way of qualitative analysis,the goals are achieved,including rule explanation,essence exploration,relationship combination and trend prediction.the specific stages of research are as following:Firstly,to show development history,relative conception definition,similar conception distinction,features and methods of data analysis technology.Secondly,a review of literature based on research status at home and abroad is showed.The literature of research status at home are based on the "advanced search"page of CNKI,before February 1,2019,pertinent literature amounts to 7570 is analyzed to give a over view research status at home.The literature of research status of abroad are proceeded from some best periodicals,such as Nature and Science,in consideration of contents of meetings,reports and government documents.On the basis of the above two aspects,the last part of this chapter introduces several characteristic fields and bottlenecks of the development of educational data analysis technology.Thirdly,research construct framework about educational data analysis technology is showed,including explanation of main research methods,principles of researching based on the purpose of people foremost,study architecture which contains evaluation model and prediction model,as well as,feasibility analysis.Fourth is mainly about feature parameter definition and case operation illustration of educational data analysis technology.In the part of feature parameter definition,based on the concepts of lumped quantity,differential quantity and relative quantity in statistics,the theoretical basis,definition,advantages,disadvantages,case analysis and error analysis of relevant characteristic parameters are explained one by one.Fifth is mainly about prediction model,which is based on Bayesian analysis.After conception definition and parameter specification,the following three parts are discussed:"prediction of students' probability of knowledge equipment","prediction of students'probability of correct choices","amendment of students' probability of knowledge equipment".At last,advantages and disadvantages of Bayesian analysis model are concluded.Interdisciplinary approach is adopted to combine the knowledge from pedagogy,psychology,education evaluation and measurement,mathematical statistics and data mining technology.And hopefully that's the way to explore the way of application of data analysis technology in high school education.This thesis is going to show a multiposition way to analyze student learning data.