Paper
8 June 2012 A test sheet generating algorithm based on intelligent genetic algorithm and hierarchical planning
Peipei Gu, Zhendong Niu, Xuting Chen, Wei Chen
Author Affiliations +
Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83343S (2012) https://doi.org/10.1117/12.966822
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peipei Gu, Zhendong Niu, Xuting Chen, and Wei Chen "A test sheet generating algorithm based on intelligent genetic algorithm and hierarchical planning", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83343S (8 June 2012); https://doi.org/10.1117/12.966822
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KEYWORDS
Genetic algorithms

Intelligence systems

Computing systems

Mathematics

Physics

Binary data

Computer programming

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