QBLS: A Semantic Web Based Learning System

نویسندگان

  • Sylvain DEHORS
  • Catherine FARON-ZUCKER
چکیده

In this paper we present the QBLS system, a www-based intelligent learning system that completely relies on semantic web standards and technologies. It reuses a large coherent set of learning resources taken from the web and has been experienced as an online support system for lab sessions of Java programming at the Computer Science department of the EPU engineering school of Sophia Antipolis. In this work, we highlight an implementation of semantic web design principles where organization and retrieval of learning resources rely upon ontologies describing the learned domain, the pedagogical strategy, and user profiles. Resource collection is based on the reuse of pedagogical materials going through a semi-automatic annotation process. We describe here our ontological choices as well as the method followed to annotate. Finally we recount the deployment of the system, coupled with a wiki, offering webbased course support.

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تاریخ انتشار 2006