Teaching Adaptively for Music - Smart Opportunities Emerging from the Representation of Score Notation

Many developmental approaches have been proposed in literature and are currently in use in order to define music education curricula for young students. In this context, our research aims at describing a computer-based framework for the adaptive teaching of music. A music learning environment can b...

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Main Authors: Luca Andrea Ludovico, Giuseppina Rita Mangione
Format: Article
Language:English
Published: Italian e-Learning Association 2014-09-01
Series:Je-LKS : Journal of e-Learning and Knowledge Society
Online Access:https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/957
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spelling doaj-c6a909cc20eb4517b332174fcdc211032020-11-25T00:44:06ZengItalian e-Learning AssociationJe-LKS : Journal of e-Learning and Knowledge Society1826-62231971-88292014-09-0110310.20368/1971-8829/957Teaching Adaptively for Music - Smart Opportunities Emerging from the Representation of Score NotationLuca Andrea Ludovico0Giuseppina Rita Mangione1Università degli Studi di MilanoUniversity of SalernoMany developmental approaches have been proposed in literature and are currently in use in order to define music education curricula for young students. In this context, our research aims at describing a computer-based framework for the adaptive teaching of music. A music learning environment can be considered as smart when adaptive technologies are employed in order to improve student performance. Research about effective teaching practice pointed out that adaptive instruction can provide school settings able to foster inclusion and differentiation. Adaptive instruction can be conceptually defined as a set of alternative didactic strategies – either formal or non-formal – within a curricular program which are able to meet the student needs In our proposal, adaptivity is involved from two different points of view: in fact, adaptivity implies the possibility for the teacher to choose an instruction method fit for the single student, as well as the possibility for students to have a learning environment modelled on their personal plans, , preferences and previous knowledge. This approach can be adopted thanks to a computer-based framework including: i) a multi-layer format to encode music, and ii) an advanced application oriented to music educational content design and fruition. As regards the former aspect, we will briefly introduce an international standard known as IEEE 1599, specifically designed for the comprehensive description of music. The latter aspect will be covered by a software prototype – namely an advanced media player supporting IEEE 1599 documents – freely available via Web.https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/957
collection DOAJ
language English
format Article
sources DOAJ
author Luca Andrea Ludovico
Giuseppina Rita Mangione
spellingShingle Luca Andrea Ludovico
Giuseppina Rita Mangione
Teaching Adaptively for Music - Smart Opportunities Emerging from the Representation of Score Notation
Je-LKS : Journal of e-Learning and Knowledge Society
author_facet Luca Andrea Ludovico
Giuseppina Rita Mangione
author_sort Luca Andrea Ludovico
title Teaching Adaptively for Music - Smart Opportunities Emerging from the Representation of Score Notation
title_short Teaching Adaptively for Music - Smart Opportunities Emerging from the Representation of Score Notation
title_full Teaching Adaptively for Music - Smart Opportunities Emerging from the Representation of Score Notation
title_fullStr Teaching Adaptively for Music - Smart Opportunities Emerging from the Representation of Score Notation
title_full_unstemmed Teaching Adaptively for Music - Smart Opportunities Emerging from the Representation of Score Notation
title_sort teaching adaptively for music - smart opportunities emerging from the representation of score notation
publisher Italian e-Learning Association
series Je-LKS : Journal of e-Learning and Knowledge Society
issn 1826-6223
1971-8829
publishDate 2014-09-01
description Many developmental approaches have been proposed in literature and are currently in use in order to define music education curricula for young students. In this context, our research aims at describing a computer-based framework for the adaptive teaching of music. A music learning environment can be considered as smart when adaptive technologies are employed in order to improve student performance. Research about effective teaching practice pointed out that adaptive instruction can provide school settings able to foster inclusion and differentiation. Adaptive instruction can be conceptually defined as a set of alternative didactic strategies – either formal or non-formal – within a curricular program which are able to meet the student needs In our proposal, adaptivity is involved from two different points of view: in fact, adaptivity implies the possibility for the teacher to choose an instruction method fit for the single student, as well as the possibility for students to have a learning environment modelled on their personal plans, , preferences and previous knowledge. This approach can be adopted thanks to a computer-based framework including: i) a multi-layer format to encode music, and ii) an advanced application oriented to music educational content design and fruition. As regards the former aspect, we will briefly introduce an international standard known as IEEE 1599, specifically designed for the comprehensive description of music. The latter aspect will be covered by a software prototype – namely an advanced media player supporting IEEE 1599 documents – freely available via Web.
url https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/957
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