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Application Research Of Genetic Algorithm In Intelligent Test Paper System

Posted on:2019-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:J X YangFull Text:PDF
GTID:2357330545490740Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the continuous development and popularization of computer technology,vocational education has become one of the mainstream modes in today's education.To realize the organic integration of the concept of vocational education and the application of "big data",the test bank management system came into being,to provide convenient and quick test database management.From the perspective of checking the knowledge of students in higher vocational colleges,this paper introduces the design ideas and methods of this system.The computerized volume system plays an important role and can greatly reduce the burden on teachers.The system is a combination of educational measurement theory and artificial intelligence theory.This is a new type of proposition method,and the teacher used to carry out manual proposition,but also spend a lot of time on the subject of elegant and design.The system also highlights the characteristics of modern education and has taken an important position in our education examination.With the development of future education,the scope of the system will be more extensive.This article integrates genetic algorithm into the online examination system,and finally forms a three-tier multi-functional online examination system based on.Net platform and SQL Server 2008 as the backstage database through several tests and continuous improvement.The genetic algorithm applied to the exam,the main is the online test smart test paper to design to ensure that online exams for the candidates to create a fair and impartial examination environment.In the course of the research,genetic manipulation is done in the basic order of mutation-cross-selection.In order to establish a set of effective test paper model,the test paper system has to go through four steps:confirmation of user needs,construction of paper sample extraction model,establishment of mathematical model and solution.Through the research,it is found that the paper model selected by the system is established based on different difficulties.Different test scores have different chapter ranges.Through the comprehensive measurement and analysis of the test questions,an effective paper mode can be established.Research improved genetic algorithm to take the form of functional modules,the various types of exam questions together in the choice of topics,cross and mutation process,the test questions will not make changes within the module,which also guarantees The volume of knowledge of the group volume,type,difficulty and other conditions in line with the requirements of the organizers.The research in this paper has a very positive role in promoting the teaching reform in higher vocational colleges and improving the information management level in higher vocational colleges.The most crucial role is to ensure the scientific and reasonable examination system,Ensure the fairness and safety of the entire exam system.It is of great significance for higher vocational colleges to test teaching achievements,improve teaching efficiency,improve teaching quality and stimulate students' learning initiative.
Keywords/Search Tags:Online Examination, Genetic Algorithm, .Net, B/S
PDF Full Text Request
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