Multi-layered knowledge-based architecture of the adaptable distance learning system

Dale Dzemydiene, Lina Tankeleviciene

    Research output: Contribution to journalArticle

    7 Citations (Scopus)


    The quality of the distance learning courses is largely influenced by competently prepared educational resources and an effective study support system. One of the possible ways to improve distance learning infrastructure and increase its effectiveness is to extend the architecture of present e-learning systems by the components for adaptable and sustainable learning. This research work is devoted to developing the service-oriented distance learning environment adaptable to the user’s needs. The proposed adaptable communication environment of distance learning is constructed by integration of new components of communication scenarios generation, adaptable for student’s goals, multilayered domain ontology of learning subject and forming intelligent agents’ framework possible. The paper presents the knowledge-based component architecture of the distance learning system, which enables a better adaptation of learning resources to students. The paper analyses the possibilities of integrating ontology into the e-learning system. The issues of decomposing ontology into different levels of understanding are discussed in order to adapt to learner’s tasks and goals. A conceptual approach is proposed for extending the existing distance learning system architecture by intelligent and deeper knowledge layers.
    Original languageEnglish
    Pages (from-to)229-244
    JournalTechnological and Economic Development of Economy
    Issue number2
    Publication statusPublished - 2009



    • Distance learning
    • E-learning
    • Decision support system
    • Ontology
    • Intelligent agents
    • Knowledge based architecture

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