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Resarch On Feedback Method Of Teaching Effect Via Data Of Digital Exam

Posted on:2019-06-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y ChuFull Text:PDF
GTID:2417330569977385Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the development of information technology,digital examination in universities and educational institutions begin to popularize in large-scale.Universities and educational institutions use information technology to collect lots of digital examination data,digital examination data contains a lot of information,for example,score and answer behavior.The analysis of digital test data,can feedback the teaching effect effectively.The contents of this paper are as follows:(1)Putting forward the method to study the feedback teaching effect based on single factor of answer score.First,preprocessing the the single factor data of answer score.Second,to implement the feedback of teaching effect,with the generation of S-P table,the analysis of S-P table and the calculation of correct answer rate in different scale.Finally,Using the analysis result to implement the teaching effect feedback.The study will provide the feedback information to teachers,such as the correct answer rate,the polarization effect of the course teaching.(2)Putting forward the teaching effect prediction model based on answer behavior and its application.Use test scores and answers to describe the answer information first,and then use the neural network already trained to classify answer records,then us the classification result to analyze the students' knowledge,finally use knowledge analysis results of the feedback teaching effect.The experiment results show that the accuracy of neural network classification and the recall rate reached 82.21%~91.88% and 87.33%~90.12%,therefore,the neural network trained does accurate classification of the data set,and the classification results can reflect objectively the teachers' teaching experience.The study of the knowledge analysis results as teaching feedback information to teachers.(3)The design and implementation of the Teaching Effect Feedback system.The system uses Spring Boot framework to do the background development,using ECharts,EasyUI and other front-end technology to implement visualization,using Java kit,such as Math3 and IText,to achieve mathematical operation and document operation,using MyBatis frameworkin data persistence layer to operate MySQL database.Combined with the research content,the system provides teaching effect feedback report.
Keywords/Search Tags:S-P table, neural network, teaching effect feedback, teaching effect feedback system
PDF Full Text Request
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