Intelligent Generating Examination Paper from Item Bank Based on Improved Genetic Algorithm

Li Feng; Qian Wu; Jing Shao Zhang

doi:10.4028/www.scientific.net/AMR.926-930.3637

Paper Titles

Implement of Data Synchronization between Heterogeneous Databases Using Goldengate
p.3621

Improved LAMBDA Algorithm Applied to Attitude Determination
p.3625

Index and Evaluation of Radar Anti-Jamming Ability Based on Improved Grey Correlation
p.3629

The Research about Sorting Methods of Quality Curriculum Assessment Based on Interval Numbers
p.3633

Intelligent Generating Examination Paper from Item Bank Based on Improved Genetic Algorithm
p.3637

Load-Balanced Low-Power Routing Algorithm Design for Wireless Sensor Networks
p.3641

An Instance of Constructing Conceptual Model of Statistical Machine Translation for Processing Natural Language
p.3645

Mechanical Performance of Soil Nailing Based on Numerical Simulation
p.3649

The Impact Tendency Evaluation of Coal Mine and Rock Based on Fuzzy Clustering Method
p.3653

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Intelligent Generating Examination Paper from Item...

Intelligent Generating Examination Paper from Item Bank Based on Improved Genetic Algorithm

Abstract:

In this paper, we analyze the disadvantage of common generating test paper algorithm. An improved genetic algorithm (IGA) is proposed and used in auto-generating examination paper algorithm. We design the mathematical model of auto-generating test paper algorithm and improved the traditional GA fitness evaluation form. A computational study is carried out to verify the algorithm. Simulation results demonstrate that the performance of IGA can work efficiently than traditional ones.

You might also be interested in these eBooks

Progress in Applied Sciences, Engineering and Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3637-3640

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3637

Citation:

Cite this paper

Online since:

May 2014

Authors:

Li Feng*, Qian Wu, Jing Shao Zhang

Keywords:

Auto-Generating Paper, Genetic Algorithm (GA), Item Bank, Operon Pair

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Weijun Liu, Tian-Qi Yuan, Jiang-Wen Xiao and Zhiwei Wang, Design and Implementation of Test Paper Auto-Generation Strategy for Electric Energy Measurement, Proc. IEEE Symp. Interational Conference on Intelligent Control and Information Processing(ICICIP 11), IEEE Press, Nov. 2011, pp.1013-1017.

DOI: 10.1109/icicip.2011.6008404

Google Scholar

[2] Zhen-hua Jia, Chun-e Zhang and Hao-shuai Fang, The Research and Application of General Item Bank Automatic Test Paper Genaration Based on Improved Genetic Algorithm, Proc. IEEE Symp. Internatinal Conference on Computing, Control and Industial Engineering (CCIENG 11), IEEE Press, Jan. 2011, pp.14-18.

DOI: 10.1109/ccieng.2011.6007945

Google Scholar

[3] Luo jia, Zhang Renjin and Jin yi, Implementation Strategy of Several Key Issues in Intelligent Testing Paper Generation System, Proc. IEEE Symp. Interational Conference on Computatinal Intelligence and Software Engineering (CISE 09), IEEE Press, Jan. 2009. pp.452-460.

DOI: 10.1109/cise.2009.5363420

Google Scholar

[4] Lin, B.M.T., Gwo-Jen Hwang and Tsung-Liang Lin, An effective approach for test-sheet composition with large scale item banks, Computer & Education, vol. 46, Feb. 2006, pp.122-139.

DOI: 10.1016/j.compedu.2003.11.004

Google Scholar

[5] Gwo-Jen Hwang, Hui-Chun Chu, Peng-Yeng Yin and Ji-Yu Lin, An innovative parallel test sheet composition approach to meet multi pleassessment criteria for national tests, Computer & Education, vol. 51, Nov. 2008, pp.1058-1072.

DOI: 10.1016/j.compedu.2007.10.006

Google Scholar

[6] Wang Wen-fa, Ma Yan, etc. The Application of Backtracking Algorithm in Multi Constraint Allocation[J]. Micro Computer Application. 2008, 29(11), pp.87-90.

Google Scholar