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

Volume

6

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

3285

Lastpage

3288

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/EMEIT.2011.6023042

Filename

6023042