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On Integration of Ontologies into E-Learning Systems
Tetovo State University, Macedonia.ORCID iD: 0000-0001-7520-695X
Tetovo State University, Macedonia.
Tetovo State University, Macedonia.
Tetovo State University, Macedonia.
2014 (English)In: 2014 Sixth International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN), IEEE, 2014, 149-152 p.Conference paper, Published paper (Refereed)
Abstract [en]

Ontologies represent an immense opportunity and are bringing great advantages to e-learning systems. Their implementation is seen as a better solution for organizing and visualizing didactic knowledge, and for this knowledge to be shared and reused by different educational applications. This paper aims at proposing a model which is focused on integrating ontological principles with e-learning standards. We developed a prototype model that is integrated with an ontology which gives a semantic representation of learning contents by adding semantic notations to each learning resource. The ontology is used for identifying the structure of learning module and defining the needed vocabulary for the student to conceptualize the learning modules. Another special ontology is introduced for learning materials, which is located at the systems metadata. Here, we included also the system access options, results registering and the communications.

Place, publisher, year, edition, pages
IEEE, 2014. 149-152 p.
Keyword [en]
computer aided instruction;meta data;ontologies (artificial intelligence);programming language semantics;vocabulary;didactic knowledge organization;didactic knowledge visualisation;e-learning standards;e-learning systems;educational applications;learning materials;learning module;learning resource;ontology integration;prototype model;semantic notations;semantic representation;systems metadata;vocabulary;Electronic learning;Materials;Ontologies;Semantic Web;Semantics;Testing;Vocabulary;e-learning;learning objects;ontology
National Category
Computer Systems
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-67904DOI: 10.1109/CICSyN.2014.40ISBN: 978-1-4799-5076-8 (electronic)ISBN: 978-1-4799-5077-5 (print)ISBN: 978-1-4799-5075-1 OAI: oai:DiVA.org:lnu-67904DiVA: diva2:1141943
Conference
2014 Sixth International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN), 27-29 May 2014, Tetova, Macedonia
Available from: 2017-09-18 Created: 2017-09-18 Last updated: 2017-09-18Bibliographically approved

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Total: 21 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf