EduCOR: An Educational and Career-Oriented Recommendation Ontology release_j5alr7vtnreqfn4tb6necg24hy

by Eleni Ilkou, Hasan Abu-Rasheed, Mohammadreza Tavakoli, Sherzod Hakimov, Gábor Kismihók, Sören Auer, Wolfgang Nejdl

Released as a article .

2021  

Abstract

With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multi-source learning experience. We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems. The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user's learning goals, academic and psychological parameters, and the labour-market skills. We present the multiple patterns that compose the EduCOR ontology, highlighting its cross-domain applicability and integrability with other ontologies. A demonstration of the proposed ontology on the real-life learning platform eDoer is discussed as a use-case. We evaluate the EduCOR ontology using both gold standard and task-based approaches. The comparison of EduCOR to three gold schemata, and its application in two use-cases, shows its coverage and adaptability to multiple OER repositories, which allows generating user-centric and labour-market oriented recommendations.
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Date   2021-07-12
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arXiv  2107.05522v1
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