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Proceedings Paper

A test sheet generating algorithm based on intelligent genetic algorithm and hierarchical planning
Author(s): Peipei Gu; Zhendong Niu; Xuting Chen; Wei Chen
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Paper Abstract

In recent years, computer-based testing has become an effective method to evaluate students' overall learning progress so that appropriate guiding strategies can be recommended. Research has been done to develop intelligent test assembling systems which can automatically generate test sheets based on given parameters of test items. A good multisubject test sheet depends on not only the quality of the test items but also the construction of the sheet. Effective and efficient construction of test sheets according to multiple subjects and criteria is a challenging problem. In this paper, a multi-subject test sheet generation problem is formulated and a test sheet generating approach based on intelligent genetic algorithm and hierarchical planning (GAHP) is proposed to tackle this problem. The proposed approach utilizes hierarchical planning to simplify the multi-subject testing problem and adopts genetic algorithm to process the layered criteria, enabling the construction of good test sheets according to multiple test item requirements. Experiments are conducted and the results show that the proposed approach is capable of effectively generating multi-subject test sheets that meet specified requirements and achieve good performance.

Paper Details

Date Published: 8 June 2012
PDF: 7 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83343S (8 June 2012); doi: 10.1117/12.966822
Show Author Affiliations
Peipei Gu, Beijing Institute of Technology (China)
Zhendong Niu, Beijing Institute of Technology (China)
Xuting Chen, Beijing Institute of Technology (China)
Wei Chen, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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