Domain ontology based support to navigation in distance study course structure

Lina Tankeleviciene, Dale Dzemydiene

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We explore the possibility to improve typical Learning management system (LMS) by integrating modern achievements in the fields of semantic web, and especially, ontology engineering. Ontologies gain its popularity due to ability 1) to implement reuse on knowledge level; and 2) to enhance information retrieval processes. Automatically conducted information retrieval allows to increase effectiveness of human-computer interaction processes, which is also important in e-Learning processes. In this article, we analyse the possibilities and types of reasoning over different ontology elements. Then we explore a theoretically proposed framework for conceptual linking of educational resources, which is intended to support learners' navigation in Distance Study Course (DSC). We demonstrate the application of the proposed framework by the means of a designed scenario with real domain ontology and concrete pedagogical goals in mind: to automatically form a dynamical navigational menu in order to foster predictable learning paths.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Pages53-64
Number of pages12
Volume187
Edition1
ISBN (Print)9781586039394
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Number1
Volume187
ISSN (Print)09226389

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Keywords

  • Domain ontology
  • E-Learning
  • Knowledge engineering
  • Linking educational resources
  • Reasoning

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Tankeleviciene, L., & Dzemydiene, D. (2009). Domain ontology based support to navigation in distance study course structure. In Frontiers in Artificial Intelligence and Applications (1 ed., Vol. 187, pp. 53-64). (Frontiers in Artificial Intelligence and Applications; Vol. 187, No. 1). IOS Press. https://doi.org/10.3233/978-1-58603-939-4-53