The Vision of Autonomic Computing
Computer
Learning Objects Based Framework for Self-Adaptive Learning
Education and Information Technologies
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Personalization in distributed e-learning environments
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Can E-Learning Be Made Real-Time?
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Adaptive e-Learning Methods and IMS Learning Design: An Integrated Approach
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Designing personalized curricula based on student preferences
SIGDOC '07 Proceedings of the 25th annual ACM international conference on Design of communication
Supporting Users in Creating Pedagogically Sound Personalised Learning Objects
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Methodology and system design for implementing context-adaptive service-oriented web-based learning
International Journal of Mobile Learning and Organisation
Mobile learning: Technological challenges on multi-channel e-learning services
Mobile learning: Technological challenges on multi-channel e-learning services
Repurposing learning object components
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
A service-based framework for personalized learning objects retrieval and recommendation
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
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Today's ubiquitous environments call for new learning models to exploit the widespread availability of learning resources. On the other hand, advances in Semantic Web offer metadata layers to reason about these resources and develop scalable learning systems that address the inherent complexity of personalized learning requirements. In this paper, we propose a Web services architecture to build a reconfigurable learning services that adapt to changing contexts and evolving learners' profiles. Semantic Web permits to abstract learning resources into distributed and uniformly structured objects and to record learners' attributes into personalized models. Our proposed reconfigurable learning Web services sense the learning context and guide learners to construct their own instructional learning sessions.