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Design And Research On Management Information System Of Poor Students In Colleges And Universities

Posted on:2020-12-02Degree:MasterType:Thesis
Country:ChinaCandidate:H Y XuFull Text:PDF
GTID:2428330620454364Subject:Computer Science and Technology
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Education precision poverty alleviation is an important part of China's poverty alleviation strategy,and the precise poverty alleviation work for college students is an important part of the national education precision poverty alleviation,and has received much attention.However,in the precise poverty alleviation work of colleges and universities,there are difficulties in the data volume of the poor students,the variety of types,and the limited number of poverty alleviation personnel.Therefore,the accurate collection and efficient management of poor students' information is the basis for the smooth implementation of the precise poverty alleviation work of colleges and universities.With the development of the Internet and artificial intelligence technology,in order to solve the many difficulties encountered in the education of precision poverty alleviation,the university poor student management information system combined with machine learning algorithm has become an important means to scientifically improve the precision of education and poverty alleviation.For the purpose of college education precision poverty alleviation work,this paper designs a university poor student management information system based on Web technology and machine learning algorithm.Through the two modules of data module and help module,it realizes the accurate identification of poor students and the effective management of poverty alleviation information.The main work and innovations of this thesis are as follows: In theory,through the research on the classification algorithm of the existing poor students,according to the characteristics of the poor students in colleges and universities and the management characteristics of college students,the probabilistic discriminant analysis is further proposed by using the sparse Bayesian learning theory.A poor student identification algorithm based on sparse Bayesian learning,using the existing poor student information data training model,achieves the accuracy of poor students identification.In terms of technology,through the analysis of the specific needs of college education precision poverty alleviation business,the B / S system architecture,JAVA programming language and MySQL database,incorporating AJAX,HTML,JQUERY,ECHARTS and visualization technology,try to design Web-based colleges Poor student management information system.The system design is mainly composed of data modules and help modules.The data modules can be divided into three sub-modules: poor student information management module,poverty alleviation project information managementmodule and data mining and analysis module according to different functions;Three sub-modules: work-study module,idle sharing module and poverty alleviation module.The whole system runs effectively realizes the integration of data management and utilization.In application,through the practical application of the design system,for business personnel,information management is more convenient than manual and software-assisted management;for students,the poor students identified are in good agreement with the actual situation of students.At the same time,the design of the system's help module can promote information and resource sharing according to the situation of poor students.The successful application of this system can lay a solid foundation for the smooth implementation of precision education in colleges and universities.
Keywords/Search Tags:Targeted poverty alleviation education, Information management system, Machine learning, Sparse Bayesian learning
PDF Full Text Request
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