Charting past, present, and future research in ubiquitous computing
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Perceptual Components for Context Aware Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
What we talk about when we talk about context
Personal and Ubiquitous Computing
Context-Aware Support for Computer-Supported Ubiquitous Learning
WMTE '04 Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
A General Architecture to Support Mobility in Learning
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Communications of the ACM - The disappearing computer
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
Human-Computer Interaction
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To be effective, a learning process must be adapted to the learner's context Such a context should be described at least from pedagogical, technological and learning perspectives Current e-Learning approaches either fail to provide learning experiences within rich contexts, thus hampering the learning process, or provide extremely contextualized content that is highly coupled with context information, barring their reuse in some other context In this paper we decouple context as much as possible from content so that the latter can be reused and adapted to context changes This approach extends the LOM standard by enriching content context, thereby allowing e-Learning platforms to dynamically compose, reuse and adapt educative content provided by third parties (Learning Objects) Three context models are presented together with a multiagent-based e-Learning platform that composes and adapts extended Learning Objects according to learner's context changes.