Title :
Desing and customization of an ontology to infer knowledge in virtual learning environments
Author :
Hector, F. ; Gomez, Ariel ; Susana Arias, T. ; Manuel Ggarcia, S.
Abstract :
In this research, the OIVLE (Ontology Inference for Virtual Learning Environments) was designed starting from the FOAF, Daml_time y Knowledge ontologies. OIVLE´s objective is to infer knowledge in virtual learning environments. In order to prove OIVLE´s efficiency, some experiments were conducted on the teaching-learning-process of the Mathematical Calculus course which is taken in the third semester of the Electronics and Telecommunications Program at the Universidad Técnica Particular de Loja during the term April-August, 2011 (Mathematical Calculus). The results of the conceptualization of the teaching-learning process obtained by using OIVLE were very encouraging.
Keywords :
calculus; computer aided instruction; educational courses; inference mechanisms; mathematics computing; ontologies (artificial intelligence); teaching; virtual reality; Daml_time ontology; FOAF ontology; OIVLE; electronics and telecommunications program; knowledge inference; knowledge ontology; mathematical calculus course; ontology customization; ontology design; ontology inference for virtual learning environments; teaching-learning process; Calculus; Education; Microstrip; Ontologies; Process control; Radiation detectors; Ontology; inference rules; learning objects; learning styles;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2012 IEEE
Conference_Location :
Marrakech
Print_ISBN :
978-1-4673-1457-2
Electronic_ISBN :
2165-9559
DOI :
10.1109/EDUCON.2012.6201034