An ontological oriented approach on e-learning. integrating semantics for adaptive e-learning systems

Lytras, Mittadis D., Pouloudi, Athanasia and Korfiatis, Nikolaos ORCID: (2003) An ontological oriented approach on e-learning. integrating semantics for adaptive e-learning systems. In: New Paradigms in Organizations, Markets and Society. UNSPECIFIED, ITA.

Full text not available from this repository. (Request a copy)


In the last decade the evolution on educational technologies forced an extraordinary interest in new methods for delivering learning content to learners. The role of technology has often been overestimated causing a myopic consideration of the critical issues in e-learning. This paper provides an initial discussion of the role of ontologies in the context of e-learning. The overall objective is to emphasize the importance of analysing a phenomenon and reveal the descriptive conceptualizations that affect the employment of technology. Ontology as a term has an intrinsic holistic character and from this point of view is quite interesting to investigate ways of understanding the phenomenon of e-learning from several perspectives. An initial clarification of term ontology is presented and the main issues are used for the description of the developmental process of the e-learning ontology entitled Multi-Dimensional Dynamic Learning (MDL).The final conclusion balances conceptualizations and technological formulations by drilling down abstract concepts to data declarations and thus machine-readable semantics.

Item Type: Book Section
Additional Information: Recommended Citation: Lytras, Mittadis D.; Poiloudi, Athanasia; and Korfiatis, Nikolaos, "An Ontology Oriented Approach on eLearning: Integrating Semantics for Adaptive eLearning Systems" (2003). ECIS 2003 Proceedings. Paper 87.
Uncontrolled Keywords: ontologies,e-learning,semantic web,adaptive e-learning systems,knowledge management
Faculty \ School: Faculty of Social Sciences > Norwich Business School
UEA Research Groups: Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management
Faculty of Social Sciences > Research Centres > Centre for Competition Policy
Related URLs:
Depositing User: Pure Connector
Date Deposited: 25 Feb 2015 06:20
Last Modified: 20 Jun 2023 14:58

Actions (login required)

View Item View Item