DocumentCode
2859638
Title
Research and Design of Intelligent Generating Test Paper System
Author
Xiaoqin Wu
Author_Institution
Key Lab. of Network & Intell. Inf. Process., Hefei Univ., Hefei, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
According to the functional demand of intelligent Test Paper system, we have designed four functional modules: examination database, test paper-generation, grade analysis and system setup. Test paper generation module is the core of the system, The improved Genetic Algorithms is more efficient and easier to get over premature convergence than the traditional algorithms. It is proved by a number of experiments provided by this article, the test paper formed by the algorithm meets all the users´ requirements if the quantity of test questions is moderate and reasonable.
Keywords
deductive databases; educational administrative data processing; genetic algorithms; examination database; genetic algorithm; grade analysis; intelligent generating test paper system; system setup; test paper generation; Automatic testing; Convergence; Deductive databases; Genetic algorithms; Information processing; Intelligent networks; Laboratories; Performance analysis; Statistical analysis; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5365944
Filename
5365944
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