DocumentCode
2033557
Title
An Autogenerating Test Paper Method Based on Latent Semantic Analysis and Genetic Algorithm
Author
Gao Huming ; Li Yanjie
Author_Institution
Inf. Manage. Dept, Tianjin Univ. of Econ. & Finance, Tianjin
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
Abstract
It is a multi-objective optimization problem to autogenerate a test paper from test bank. In this paper an autogenerating test paper method based on latent semantic analysis and genetic algorithm is proposed. Firstly the relationships of keywords among test items in a test bank are analyzed with LSA, and the weights of the test items are calculated. Then using the Genetic Algorithm to compose the test paper accorded to the weights. The proposed method can effectively select test items from Chinese test bank to compose a test paper.
Keywords
computer aided instruction; genetic algorithms; autogenerating test paper method; genetic algorithm; latent semantic analysis; multiobjective optimization problem; Algorithm design and analysis; Education; Finance; Genetic algorithms; Information analysis; Information management; Matrix decomposition; Optimization methods; Singular value decomposition; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5072709
Filename
5072709
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