Title
EDUC8 ontology: semantic modeling of multi-facet learning pathways
Abstract
One of the main challenges to be confronted in Higher Education, so as to increase quality, is the personalization of education services, since each student constitutes a unique case. In this paper, we present the conceptualization of the domain of Learning Pathways in Higher Education. We present the EDUC8 (EDUCATE) ontology, which models the needed domain knowledge streams for the learning pathways and consists of four (4) main modules: 1) the learner model 2) the learning pathway model 3) the business model and 4) the quality assurance model. Taking into account the multifaceted nature of a learning pathway in a Higher Educational Institution (HEI), our proposal achieves a holistic conceptualization of the domain of educational provision, in order to be further utilized for the implementation of a Semantic Web Rules repository. This rule base is in control of the required streams of knowledge enclosed in the learning pathway for developing, recommending and executing tailored educational processes to meet each learner’s personal characteristics. Finally, EDUC8 ontology is applied for the definition of a ruleset for the Computer Science program case study.
Year
DOI
Venue
2019
10.1007/s10639-019-09877-4
Education and Information Technologies
Keywords
Field
DocType
Semantic web, Learner, Educational process, Learning pathways, Academic advising, Personalization
Ontology,Domain knowledge,Computer science,Semantic Web,Conceptualization,Knowledge management,Educational institution,Semantics,Higher education,Personalization
Journal
Volume
Issue
ISSN
24
4
1360-2357
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Omiros Iatrellis101.35
Omiros Iatrellis201.35
Achilles Kameas335550.94
Panos Fitsilis46816.70