Design And Implementation Of Online Examination System Based On Intelligent Paper Composition Strategy

With the rapid development of Internet technology,more and more industries have begun to apply Internet technology to digital transformation.The traditional teaching model can no longer meet the teaching needs of students and teachers in the new era.Digital education has become an inevitable trend in the future development of the education industry because it can break through the constraints of time and space.The online examination system is a solution for digital education examination,which has the advantages of high efficiency,rich forms,fairness and justice.Intelligent paper composition is one of the core functions of the online examination platform.However,the online examination platform does not yet have the ability to intelligently form papers at this stage.Therefore,this paper designs an online examination based on B/S architecture through actual research on teaching needs.Platform,the platform includes five modules including login,question bank management,test management,examinee test,data query and statistical analysis.The main research content of the paper is as follows:(1)Design the overall architecture scheme based on the B/S architecture model.Through the research of JAVA WEB related technologies and the actual investigation of system requirements,the system requirements analysis and overall architecture design work has been completed.(2)Design an intelligent examination paper strategy based on the genetic-annealing algorithm.Through the research on the problem of examination papers,a multiobjective optimization problem model based on the difficulty coefficient and the distribution of knowledge points is established.On this basis,an intelligent paper formation strategy based on the genetic-annealing algorithm is designed to solve the problem of complex parameter tuning of the genetic algorithm and late convergence.Slow or even no convergence problem.The experimental results show that compared with the genetic algorithm,the genetic-annealing algorithm has a 16% increase in the success rate of test paper formation,and a 30% increase in test paper efficiency.(3)Complete the system development work.Based on UML component diagrams,sequence diagrams,class diagrams and other modeling methods,the various stages of system development are analyzed in depth,and the system coding work is completed.On this basis,the system function and performance test content is completed.This thesis designs an intelligent examination paper strategy based on geneticannealing algorithm,implements an online examination system based on B/S architecture,and elaborates on the design and implementation process of each functional module of the system.The experimental results show that the system has a friendly interface and can The operability is strong,and all functions and stability meet the expected requirements.