Procedural help in Andes: generating hints using a Bayesian network student model
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
User Modeling and User-Adapted Interaction
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
Making Learning Design Standards Work with an Ontology of Educational Theories
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
The Andes Physics Tutoring System: Five Years of Evaluations
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Scaffolding vs. hints in the assistment system
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Self-assessment in a feasible, adaptive web-based testing system
IEEE Transactions on Education
Building domain ontologies from text for educational purposes
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
Proceedings of the 6th International Conference on Semantic Systems
Design of a semantic web and OSGi based middleware for ITS development
Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality
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There are several possible applications of Semantic Web techniques in Intelligent Tutoring Systems (ITSs) and important advantages can be obtained from their application. This paper presents an architecture to combine Semantic Web techniques with ITSs, explaining its elements, relationships, challenges, and the different design criterions, offering some guidelines to make decisions when different implementation solutions are possible. We have implemented an instance of this architecture using the XTutor ITS and the CWM (Closed World Machine) Semantic Web reasoner. The implemented framework permits personalization of problems with hints for students. The paper also describes this specific implementation of the general architecture as well as some user adaptation examples with the implemented framework.