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Research And Implementation Of Intelligent Online Examination System For The National Student Loan

Posted on:2015-09-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y M LinFull Text:PDF
GTID:2298330431989466Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In recent years, the colleges and universities use examination to test and evaluate the effect of publicity and education of the national student loan policy, which ensure each student applied and obtained the national student loan can fully understand and master the knowledge of loan, repayment and credit. The traditional examination from setting paper, marking paper to score statistics completely rely on manual, the whole process was low efficiency, has been difficult to meet the needs of the huge number and fast growth of the students participating in the examination of national student loan knowledge. In this paper, by using genetic algorithm, Lucene search engine framework and B/S three-layer structure, it is designed and implemented the online examination system for the national student loan which is with the function of paper creating intelligently, question bank retrieving quickly, paper marking automatically, based on the detailed study of computer creating paper and database retrieval. In this paper, it improved the standard genetic algorithm in terms of coding method, crossover operator and initial population generation method, making the efficiency and quality of paper creating be further optimized and improved. In this paper, the Lucene search engine fused ICTCLAS, not only indexing accurately, but also fuzzy matching the stem of test. As searching and querying database, it is better than fuzzy database query technology regardless of time and space. In this paper, through system demand analysis and building B/S three-layer structure, it complete six system functions including user management, examination library management, paper combining management, online examination, score inquiry and statistical analysis. With the construction of digital, intelligent and automatic online examination system of national student loan knowledge, it effectively improve the test efficiency, ensure the test objective, save examination cost and has very important significance for the implementation of the should borrow do loan target of national student loan.
Keywords/Search Tags:National student loan, online examination, Genetic algorithm, Lucene
PDF Full Text Request
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