DocumentCode :
240797
Title :
Ontological Modelling for Intelligent E-learning
Author :
Aggelopoulou, Nikolitsa ; Pierrakeas, Christos ; Artikis, Alexander ; Kalles, Dimitris
Author_Institution :
Educ. Content, Methodology & Technol. Lab. (e-CoMeT Lab.), Hellenic Open Univ. (HOU), Patras, Greece
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
716
Lastpage :
718
Abstract :
The evolution of scientific research as well as the development of the relevant technologies and methodologies in the area of distance learning fall within the scope of the objectives the Hellenic Open University whose mission is to provide distance education at both undergraduate and postgraduate level. To develop intelligent e-learning applications, we capture the semantics of the Computer Science module concepts with the use of ontologies, by following a specific methodology to build domain knowledge ontologies. We illustrate our approach by presenting the construction of the ontologies of the Artificial Intelligence & Expert Systems module.
Keywords :
computer science education; distance learning; educational courses; expert systems; ontologies (artificial intelligence); Hellenic open university; artificial intelligence; computer science module concepts; distance education; distance learning; domain knowledge ontologies; expert systems module; intelligent e-learning applications; ontological modelling; postgraduate level; scientific research evolution; undergraduate level; Educational institutions; Electronic learning; Expert systems; OWL; Ontologies; Lifelong Learning; artificial intelligence applications; distance education; ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/ICALT.2014.208
Filename :
6901585
Link To Document :
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