DocumentCode :
3337535
Title :
A novel online test-sheet composition approach for web-based testing
Author :
Wang, Feng-rui ; Wang, Wen-hong ; Pan, Quan-ke ; Zuo, Feng-chao ; Liang, J.J.
Author_Institution :
Sch. of Media & Commun. Technol., Liaocheng Univ., Liaocheng, China
Volume :
1
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
700
Lastpage :
705
Abstract :
In e-learning environment, Web-based testing system can help to evaluate learners learning status precisely. To meet the needs of multiple assessment criteria, a new test-sheet construction model was proposed. Based on the proposed model, a differential evolution algorithm with effective coding strategy was designed to generate high quality test-sheets for Web- based testing. In simulation experiments, the proposed algorithm was applied to a series of item banks with different scales. Superiority of the proposed algorithm is demonstrated by comparing it with the simple genetic algorithm and differential evolution algorithm with binary coding strategy.
Keywords :
computer aided instruction; genetic algorithms; Web-based testing; binary coding strategy; differential evolution algorithm; e-learning environment; genetic algorithm; multiple assessment criteria; online test-sheet composition approach; Algorithm design and analysis; Automatic testing; Communications technology; Computer science; Electronic learning; Genetic algorithms; Machine learning; Optimization methods; Particle swarm optimization; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
Type :
conf
DOI :
10.1109/ITIME.2009.5236331
Filename :
5236331
Link To Document :
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