The Amsterdam hypermedia model: adding time and context to the Dexter model
Communications of the ACM
AHAM: a Dexter-based reference model for adaptive hypermedia
Proceedings of the tenth ACM Conference on Hypertext and hypermedia : returning to our diverse roots: returning to our diverse roots
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
An intelligent distributed environment for active learning
Proceedings of the 10th international conference on World Wide Web
The Ariadne knowledge pool system
Communications of the ACM
User Modeling and User-Adapted Interaction
The Munich Reference Model for Adaptive Hypermedia Applications
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
A Framework for Intelligent Knowledge Sequencing and Task Sequencing
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
Adaptive Hypermedia: From Intelligent Tutoring Systems to Web-Based Education
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Phoenix Tool: A Support to Semantic Learning Model
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Affective Behavior in Intelligent Tutoring Systems for Virtual Laboratories
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
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In adaptive hypermedia systems, we distinguish AHAM as the most popular reference model which is based on the Dexter model. Our work consists on building an adaptive system following this model. In this paper, we deal both with the domain and the user's model. On one hand, the domain model called Semantic Learning Model (SLM) is described taking into account the pedagogical structure resulting from our pedagogical segmentation process. On the other hand, our user's model called eXtended Student Model (XSM) based on an ad hoc integration of the AHAM's user's model as well as the IMS/LIP and IEEE/PAPI standards.