DocumentCode :
3144246
Title :
Architectures and algorithms for auto-generating examination paper system
Author :
Wang, Xiuhui ; Wen, Junqin
Author_Institution :
Coll. of Inf. Eng., China Jiliang Univ., Hangzhou, China
Volume :
7
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2893
Lastpage :
2895
Abstract :
Auto-generating examination paper intelligently is an important problem in Computer Aided Instruction (CAI) system construction. This paper analyzes the problem of auto-generating examination paper and some algorithms for generating examination paper, and presents away to solve the problem of intelligent auto-generating examination paper and uses Monte Carlo (MC) Method to analyze and selects test questions according to the score and difficulty coefficients of the knowledge points. And finally an intelligent auto-generating examination paper (Auto-GEP) system is designed using cases and rules based on MC method to determinate the control parameters. Test results show that Auto-GEP system can high intelligently select test questions with formal input of knowledge points, and assure the integrality of the final examination paper.
Keywords :
Monte Carlo methods; computer aided instruction; knowledge based systems; CAI system construction; Monte Carlo method; autoGEP system; computer aided instruction; intelligent autogenerating examination paper system; rule based system; Approximation algorithms; Artificial intelligence; Computer architecture; Computers; Databases; Education; Monte Carlo methods; Auto-generating Examination Paper; Difficulty Coefficients; Knowledge Points; Monte Carlo (MC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
Type :
conf
DOI :
10.1109/BMEI.2010.5639631
Filename :
5639631
Link To Document :
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