About this paper

Appears in:
Pages: 4281-4288
Publication year: 2018
ISBN: 978-84-697-9480-7
ISSN: 2340-1079
doi: 10.21125/inted.2018.0829

Conference name: 12th International Technology, Education and Development Conference
Dates: 5-7 March, 2018
Location: Valencia, Spain

ON APPLICATION OF SEMANTIC WEB TECHNOLOGIES TO PERSONALISE LEARNING

A. Berniukevičius

Vilnius University (LITHUANIA)
The paper is aimed to analyse Semantic Web technologies application in education and present a methodology of learning personalisation based on Resource Description Framework (RDF) technology. Research results are two-fold: first, the results of systematic literature review on Semantic Web technologies and their application in education are presented, and, second, RDF triples-based learning personalisation methodology is proposed. Web 2.0 was an interaction between users, and Web 3.0 became an interaction between machines. Due to the fact that computers can understand information stored on the web, it is possible to interpret information like humans and intelligently generate and distribute useful content tailored to the needs of users. Semantic Web tools such as ontology and knowledge representation, semantic annotation of resources, knowledge reasoning and services are widely spreading among educators to improve education quality. Nowadays one of the educational tasks is learning personalisation, and in this paper, RDF technology as learning personalisation approach is proposed. According to this methodology, RDF-based personalisation of learning should be based on applying students’ learning styles and intelligent technologies. The main advantages of this approach are analyses of interlinks between students’ learning styles and suitable learning components (learning objects and learning activities). The methodology is based on applying pedagogically sound vocabularies of learning components (i.e. learning objects and learning activities), experts’ collective intelligence to identify learning objects and learning methods / activities that are most suitable for particular students, and intelligent technologies (i.e. ontologies and recommender system). This methodology based on applying personalised RDF triples is aimed at improving learning quality and effectiveness.
@InProceedings{BERNIUKEVICIUS2018ONA,
author = {Berniukevičius, A.},
title = {ON APPLICATION OF SEMANTIC WEB TECHNOLOGIES TO PERSONALISE LEARNING},
series = {12th International Technology, Education and Development Conference},
booktitle = {INTED2018 Proceedings},
isbn = {978-84-697-9480-7},
issn = {2340-1079},
doi = {10.21125/inted.2018.0829},
url = {http://dx.doi.org/10.21125/inted.2018.0829},
publisher = {IATED},
location = {Valencia, Spain},
month = {5-7 March, 2018},
year = {2018},
pages = {4281-4288}}
TY - CONF
AU - A. Berniukevičius
TI - ON APPLICATION OF SEMANTIC WEB TECHNOLOGIES TO PERSONALISE LEARNING
SN - 978-84-697-9480-7/2340-1079
DO - 10.21125/inted.2018.0829
PY - 2018
Y1 - 5-7 March, 2018
CI - Valencia, Spain
JO - 12th International Technology, Education and Development Conference
JA - INTED2018 Proceedings
SP - 4281
EP - 4288
ER -
A. Berniukevičius (2018) ON APPLICATION OF SEMANTIC WEB TECHNOLOGIES TO PERSONALISE LEARNING, INTED2018 Proceedings, pp. 4281-4288.
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