Design And Implementation Of Indicator Subststem In Educational Data Modeling And Analysis System

As the educational informationization develops,the teaching,based on information,is becoming increasingly popular,and educational data is growing in cascade.These data cotain a lot of information,analyzing and mining the value information in educational data can help educational decision-making.Establishing an educational data modeling and analysis system,analyzing and visualizing educational data through data modeling,data analysis,data visualization and other technologies,contribute to personalized learing recommendation,intelligent learing early warning and teaching level evaluation.This paper designs and implements the indicator(feature data)subsystem of the educational data modeling and analysis system.Firstly,the paper analyses the present situation of education data indicator system,and based on the business of the model and analysis system,the requirements of indicator subsystem are analyzed.User roles are divided and user cases are determined,and the user funtional needs and non-funtional needs are defined.Then,according to the user needs,carry on the work which includes the system architecture design,the function module division,the table structure design,the interface design and the UI design,to complete the system outline design.Then,the pager,in detail,designs the system,every function module’s class diagrams and sequence diagrams are determined and coded to achieve the functions of indicator subsystem.At last,we did the work that testing the system,to find defects and improve the system to ensure that the user’s needs can be met.This paper finally completed all the work of the indicator subsystem in the education data modeling and analysis system.At present,the education data modeling and analysis system has successfully interated six versions,it has accessed data from multiple business partners.The indicator subsystem can cope with the educational data sources which is changing everytime,and it can run normally,it lays a foundation for the education data modeling and analysis.