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
Link To Document :
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