DocumentCode :
144514
Title :
The Analysis of Exam Paper Component Based on Genetic Algorithm
Author :
LingLing Han ; Xiaodong Li
Author_Institution :
Dept. of Educ. Technol., Harbin Normal Univ., Harbin, China
fYear :
2014
fDate :
7-9 April 2014
Firstpage :
561
Lastpage :
564
Abstract :
With the development and progress of information technology, information is the inevitable trend of the development of examination form. This paper introduces the basic concept, characteristics and basic steps of genetic algorithm, a quick search according to the test question types, quantity, knowledge, coefficient of difficulty, discrimination and exposure and other constraints, to find the best test plan the ideal group, test, and experimental analysis show that the composing test paper algorithm, based on genetic algorithm speed fast, quality is good, which can satisfy the requirements of test.
Keywords :
genetic algorithms; information technology; examination paper component; genetic algorithm; information technology; Biological cells; Genetic algorithms; Genetics; Optimization; Search problems; Sociology; Statistics; Exam Paper Component; coding; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4799-3069-2
Type :
conf
DOI :
10.1109/CSNT.2014.118
Filename :
6821459
Link To Document :
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