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Adaptive Course Generation in Semantic Web Context

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Abstract

Personalized support for learners becomes very important in the context of increasing re-use of resources from heterogeneous and distributed learning repositories. This paper presents OrPAF, an Adaptive Educational Hypermedia (AEHS) and web-based System which integrates semantic web models and technologies like ontologies, semantic annotations and learning standards in order to achieve interoperability with e-learning systems. The key feature of OrPAF is the construction of adaptive hypermedia courses: both the course structure and the course content are dynamically generated and adapted to learners. On the one hand, a learning ontology is proposed to describe, at meta-level, abstract characteristics of an e-learning system. This learning ontology is instantiated to construct learning models: domain model, learner model and pedagogical model. On the other hand, semantic annotations and a semantic relevance measure are proposed to improve the LOM metadata associated to learning web resources in order to reuse and share them.
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Dates and versions

hal-03503453 , version 1 (27-12-2021)

Identifiers

  • HAL Id : hal-03503453 , version 1

Cite

Amel Yessad, Catherine Faron Zucker, Rose Dieng-Kuntz, Med Tayeb Laskri. Adaptive Course Generation in Semantic Web Context. EdMedia, Jun 2008, Vienne, Austria. ⟨hal-03503453⟩
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