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Enhancing Learning Objects for Digital Education

Authors:
Tiago Thompsen Primo

Keywords: Digital Education; Adaptive Learning; Computational Intelligence; Mobile Computing; Smart Environments.

Abstract:
This research presents a method to describe Learning Objects as Semantic Web compatible Ontologies. The proposed method divides the Ontologies among three layers. The first is composed of the knowledge domain, the second by the Learning Objects (LOs) and their relations, and the third is responsible for knowledge inference and reasoning. As study case, we present the Ontologies of Learning Object Metadata (LOM) and Brazilian Metadata for Learning Objects (OBAA) metadata standards as part of the Layer One. The Layer Two composed by the description of sample Learning Objects based on the properties and restrictions defined by the Layer One ontologies. Layer Three describes the knowledge inference axioms, which we defined as Application Profiles. Our current results can summarize a contribution to Ontology Engineering for Semantic Web applied to Digital Education.

Pages: 32 to 37

Copyright: Copyright (c) IARIA, 2017

Publication date: February 19, 2017

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-531-9

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017