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Title:
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ADAPTIVE COGNITION FOR ETHNIC LEARNING OF MUSIC THROUGH SELF-ORGANIZING MAPS |
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Author(s):
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Fabiano Rodrigues Ferreira , Ismar Frango Silveira , Pollyana Notargiacomo Mustaro |
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ISBN:
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978-972-8924-42-3 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2007 |
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Edition:
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V I, 2 |
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Keywords:
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Learning Objects, Ethnic Learning, Self-Organizing Maps, Adaptive Systems, Learning of Music, Neural Networks |
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Type:
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Full Paper |
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First Page:
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115 |
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Last Page:
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122 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Music learning in Latin America, specifically in Brazil, suffers a structural problem: people lacks incentive concerning
music learning through regular courses in fundamental education, as well as in other levels. Although Brazil has different
kinds of popular rhythms, its learning despite all Brazilian national music tradition does not take into account cultural
or regional characteristics of learners. In order to perform such task, it would be necessary an adaptive device that would
work with the cultural context of students. This paper studies an adaptive learning objects architecture for effective
learning of musical concepts, focusing on Brazilian musical rhythms. Learning objects are dynamically recovered by
Self-Organizing Maps-based techniques, which provides effective gathering over a learning objects repository in a way
they could dynamically create learning resources according to some adaptive factors, like previous knowledge or learning
styles. |
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