Ant Colony Optimization
Service-Oriented E-Learning Platforms: From Monolithic Systems to Flexible Services
IEEE Internet Computing
Pseudo Parallel Ant Colony Optimization for Continuous Functions
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Ant algorithms for the university course timetabling problem with regard to the state-of-the-art
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
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
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A tutoring strategy supporting system for distance learning on computer networks
IEEE Transactions on Education
IEEE Transactions on Education
Design and evaluation of an XML-based platform-independent computerized adaptive testing system
IEEE Transactions on Education
Self-assessment in a feasible, adaptive web-based testing system
IEEE Transactions on Education
Knowledge-based web-enabled agents and intelligent tutoring systems
IEEE Transactions on Education
An intelligent tutoring system for circuit analysis
IEEE Transactions on Education
IEEE Transactions on Education
Grid-Based Virtual Laboratory Experiments for a Graduate Course on Sensor Networks
IEEE Transactions on Education
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Computer-assisted testing systems are promising in generating tests efficiently and effectively for evaluating a person's skill. This paper develops a novel intelligent testing system for both teachers and students. Equipped with user-friendly interfaces and administrative modules, the proposed system offers the following features and advantages: 1) Self-adaptive. Item attributes in an item bank are adaptively updated to reflect students' newest learning states. 2) Reliable. Tests with high assessment qualities are reliably generated, satisfying teachers' multiple requirements. 3) Flexible for generating parallel tests with identical test ability, especially useful for makeup exams. For students, the system is used for exercises and self-evaluation. For teachers, the system is a good helper for generating tests with different requirements. In this paper, the self-adaptation strategy and the ant colony optimization based test composition (ACO-TC) method are firstly described. ACO, an advanced computational intelligence algorithm, is used for searching high-quality results. Then the proposed testing system is introduced. The performance of the system is analyzed for composing tests in different situations.