Title :
Algorithm and strategy research of generating test paper for large scale online examination
Author :
Zhou Guo Bing ; Liu Ting Ting ; Liu Xinxin
Author_Institution :
Coll. of Sci. & Technol., Ningbo Univ., Ningbo, China
Abstract :
Algorithm and strategy directly affect the success rate, efficiency and quality of generating test paper. From the analysis of the usual requirement of the user proposition and the result of test paper, the algorithm of generating test paper based on the degree of difficulty is put forward as the strategy of step deals from the and the weight average model and discrete variable random binomially distributed model.
Keywords :
binomial distribution; computer aided instruction; educational administrative data processing; random processes; binomial distributed model; degree of difficulty; discrete variable; generating test paper; online examination; random variable; requirement analysis; weight average model; Algorithm design and analysis; Analytical models; Computational modeling; Computers; Educational institutions; Genetic algorithms; Human computer interaction; Binomially Distributed; Degree of Difficulty; Generating Test Paper Algorithm; Generating Test Paper Strategy;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023042
