Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Construction and analysis of educational tests using abductive machine learning
Computers & Education
Dynamic question generation system for web-based testing using particle swarm optimization
Expert Systems with Applications: An International Journal
A genetic algorithm for the proportionate multiprocessor open shop
Computers and Operations Research
An effective approach for test-sheet composition with large-scale item banks
Computers & Education
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
On the development of a computer-assisted testing system with genetic test sheet-generating approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A test-sheet-generating algorithm for multiple assessment requirements
IEEE Transactions on Education
A tabu search approach to generating test sheets for multiple assessment criteria
IEEE Transactions on Education
Journal of Network and Computer Applications
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In e-learning environment, online testing system can help to evaluate students' learning status precisely. To meet the users' multiple assessment requirements, a new test-sheet composition model was put forward. Based on the proposed model, a genetic algorithm with effective coding strategy and problem characteristic mutation operation were designed to generate high quality test-sheet in online testing systems. The proposed algorithm was tested using a series of item banks with different scales. Superiority of the proposed algorithm is demonstrated by comparing it with the genetic algorithm with binary coding strategy.