This paper offers an overview on the personalization of learning process components to different learners’ characteristics using ontology-based frameworks. Diversification of ontology knowledge sources is a promising solution to support interoperability between the components, achieve effective personalization, improve learning process and support of a precise and richer e-learning system structure. Ontological components can use open data, published ontologies and domain knowledge to construct a domain ontology consisting of common constructs, concepts and instances. The paper describes a set of requirements that context modelling and reasoning techniques in education area should meet and highlight how the currently most prominent approach to context modelling and reasoning is rooted in ontologybased frameworks.

Concept Integration to Develop Next Generation of Technology-Enhanced Learning Systems

Antonella Carbonaro
2020

Abstract

This paper offers an overview on the personalization of learning process components to different learners’ characteristics using ontology-based frameworks. Diversification of ontology knowledge sources is a promising solution to support interoperability between the components, achieve effective personalization, improve learning process and support of a precise and richer e-learning system structure. Ontological components can use open data, published ontologies and domain knowledge to construct a domain ontology consisting of common constructs, concepts and instances. The paper describes a set of requirements that context modelling and reasoning techniques in education area should meet and highlight how the currently most prominent approach to context modelling and reasoning is rooted in ontologybased frameworks.
Smart Innovation, Systems and Technologies
121
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Antonella Carbonaro
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/700601
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