A Proposed Ontology-Based Generic Context Model for Ubiquitous Learning

Autor/inn/en	Ouissem, Benmesbah; Lamia, Mahnane; Hafidi, Mohamed
Titel	A Proposed Ontology-Based Generic Context Model for Ubiquitous Learning
Quelle	In: International Journal of Web-Based Learning and Teaching Technologies, 16 (2021) 3, S.47-64, Artikel 4 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1548-1093
Schlagwörter	Electronic Learning; Educational Technology; Models; Educational Methods; Context Effect; Vocabulary; Resource Units; Classification; Learning Activities; Student Needs; Evaluation Methods + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Analogiemodell; Educational method; Erziehungsmethode; Wortschatz; Classification system; Klassifikation; Klassifikationssystem; Lernaktivität
Abstract	Context modeling is the keystone to enable the intelligent system to adapt its functionalities properly to different situations. As such, a representation mechanism that allows an adequate manipulation of this kind of information is required, and diverse approaches have been introduced; however, what takes more value and is being positioned as a standard is the ontology-based context modeling because it presents a common understanding vocabulary for a specific domain. Hence, it might be beneficial to have a generic ontology to model context in this area. However, according to diverse works, there is no proposal of a generic context model for context-aware learning. For addressing this problem, several existing context models are studied to identify the essentials of context modeling, whereby an ontology-based generic context model is presented. The proposed ontology is evaluated in two ways. Firstly, scenarios are used to justify the feasibility of the model; then a comparative study and evaluation metrics are applied to assess the proposal. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01