Selection of appropriates E-learning personalization strategies from ontological perspectives

When there are several personalization strategies of E-learning, authors of courses need to be supported for deciding which strategy will be applied for personalizing each course. In fact, the time, the efforts and the learning objects needed for preparing personalized learning scenarios depend on t...

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Main Authors: Fathi Essalmi, Leila Jemni Ben Ayed, Mohamed Jemni, Kinshuk, Sabine Graf
Format: Article
Language:English
Published: ASLERD 2010-10-01
Series:Interaction Design and Architecture(s)
Subjects:
Online Access:http://www.mifav.uniroma2.it/inevent/events/idea2010/doc/IxDEA_10_5.pdf
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author Fathi Essalmi
Leila Jemni Ben Ayed
Mohamed Jemni
Kinshuk
Sabine Graf
author_facet Fathi Essalmi
Leila Jemni Ben Ayed
Mohamed Jemni
Kinshuk
Sabine Graf
author_sort Fathi Essalmi
collection DOAJ
description When there are several personalization strategies of E-learning, authors of courses need to be supported for deciding which strategy will be applied for personalizing each course. In fact, the time, the efforts and the learning objects needed for preparing personalized learning scenarios depend on the personalization strategy to be applied. This paper presents an approach for selecting personalization strategies according to the feasibility of generating personalized learning scenarios with minimal intervention of the author. Several metrics are proposed for putting in order and selecting useful personalization strategies. The calculus of these metrics is automated based on the analyses of the LOM (Learning Object Metadata) standard according to the semantic relations between data elements and learners’ characteristics represented in the Ontology for Selection of Personalization Strategies (OSPS).
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spelling doaj.art-299788fc7be5475d8ade249b99b7d3e02023-09-02T17:05:33ZengASLERDInteraction Design and Architecture(s)1826-97452010-10-019-106584Selection of appropriates E-learning personalization strategies from ontological perspectivesFathi EssalmiLeila Jemni Ben AyedMohamed JemniKinshukSabine GrafWhen there are several personalization strategies of E-learning, authors of courses need to be supported for deciding which strategy will be applied for personalizing each course. In fact, the time, the efforts and the learning objects needed for preparing personalized learning scenarios depend on the personalization strategy to be applied. This paper presents an approach for selecting personalization strategies according to the feasibility of generating personalized learning scenarios with minimal intervention of the author. Several metrics are proposed for putting in order and selecting useful personalization strategies. The calculus of these metrics is automated based on the analyses of the LOM (Learning Object Metadata) standard according to the semantic relations between data elements and learners’ characteristics represented in the Ontology for Selection of Personalization Strategies (OSPS).http://www.mifav.uniroma2.it/inevent/events/idea2010/doc/IxDEA_10_5.pdfontologypersonalization strategiesmetadata
spellingShingle Fathi Essalmi
Leila Jemni Ben Ayed
Mohamed Jemni
Kinshuk
Sabine Graf
Selection of appropriates E-learning personalization strategies from ontological perspectives
Interaction Design and Architecture(s)
ontology
personalization strategies
metadata
title Selection of appropriates E-learning personalization strategies from ontological perspectives
title_full Selection of appropriates E-learning personalization strategies from ontological perspectives
title_fullStr Selection of appropriates E-learning personalization strategies from ontological perspectives
title_full_unstemmed Selection of appropriates E-learning personalization strategies from ontological perspectives
title_short Selection of appropriates E-learning personalization strategies from ontological perspectives
title_sort selection of appropriates e learning personalization strategies from ontological perspectives
topic ontology
personalization strategies
metadata
url http://www.mifav.uniroma2.it/inevent/events/idea2010/doc/IxDEA_10_5.pdf
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