A Konet-based Tool for Adaptive Learning: an Application for Ethnic Learning of Music

Resumo

Resumo: Brazilian musical scenario presents a structural problem, which is the lack of institutional incentives for formal learning of music through well-established courses in the basic education system. Nowadays, music-related courses are not part of any level of formation, pushing students who have affinity with this kind of art to look for alternative instruction. This paper presents an adaptive learning system applied to meaningful learning of musical concepts, focusing on Brazilian musical rhythms. Kohonen networks (Konets) are used to dynamically recover and arrange pre-built Learning Objects, dynamically creating learning resources according to regional, cultural and ethnic aspects.

Abstract: Brazilian musical scenario presents a structural problem, which is the lack of institutional incentives for formal learning of music through well-established courses in the basic education system. Nowadays, music-related courses are not part of any level of formation, pushing students who have affinity with this kind of art to look for alternative instruction. This paper presents an adaptive learning system applied to meaningful learning of musical concepts, focusing on Brazilian musical rhythms. Kohonen networks (Konets) are used to dynamically recover and arrange pre-built Learning Objects, dynamically creating learning resources according to regional, cultural and ethnic aspects.