Abstract
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.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.
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Abarca, M.G., Alarcon, R.A., Barria, R., Fuller, D. (2006). Context-Based e-Learning Composition and Adaptation. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_106
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DOI: https://doi.org/10.1007/11915072_106
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