ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
An effective approach for test-sheet composition with large-scale item banks
Computers & Education
Using AJAX to build an on-line QTI based assessment system
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
An effective approach for test-sheet composition with large-scale item banks
Computers & Education
A Novel Online Test-Sheet Composition Approach Using Genetic Algorithm
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Test-sheet composition using immune algorithm for E-learning application
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools
Expert Systems with Applications: An International Journal
A user evaluation framework for web-based learning systems
MTDL '11 Proceedings of the third international ACM workshop on Multimedia technologies for distance learning
A personalized genetic algorithm approach for test sheet assembling
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
A divide-and-conquer tabu search approach for online test paper generation
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Web-based mathematics testing with automatic assessment
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Content-based collaborative filtering for question difficulty calibration
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
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In a testing system, the quality of the test items will significantly affect the accuracy of a test; therefore, several measures have been proposed to represent the quality of each test item, e.g., degree of difficulty and discrimination. However, the quality of a test not only depends on the quality of the item bank, but also relates to the way the test sheet is constructed. Selection of appropriate test items is important when constructing a test sheet that meets multiple assessment requirements, such as average difficulty degree, average discrimination degree, length of the test time, number of the test items, and the specified distribution of concept weights. In this paper, a multiple criteria test-sheet-generating problem is formulated and a dynamic programming approach is proposed to cope with the problem. The new approach utilizes the techniques of clustering and dynamic programming, enabling construction of a feasible test sheet in accordance with specified requirements. Some experimental results of 20 cases show that the new approach is capable of achieving better performance than previously used test-sheet-generating methods.