Armonía Accesible: Mejorando la Enseñanza Musical para Niños Sordos con Inteligencia Artificial
DOI:
https://doi.org/10.5753/rbie.2025.5944Keywords:
Educación musical para sordos, Tecnología asistiva, Inteligencia artificial en la música, Inclusión socialAbstract
Este estudio explora el uso de la inteligencia artificial para promover la inclusión digital en la enseñanza musical de niños sordos. Desarrollamos un sistema innovador que integra retroalimentación táctil y visual, junto con interacciones con robots educativos, creando un entorno de aprendizaje inclusivo. La inteligencia artificial monitorea en tiempo real el desempeño y las respuestas emocionales de los niños, ajustando dinámicamente la dificultad de las actividades para personalizar la experiencia de aprendizaje. Aplicamos una metodología experimental con siete niños sordos, comparando el impacto del sistema con métodos de enseñanza tradicionales. Se utilizaron métodos cuantitativos y cualitativos para evaluar la precisión de los gestos, el nivel de compromiso y los efectos emocionales y sociales. Los resultados indicaron que el sistema basado en inteligencia artificial mejoró la precisión de los gestos musicales en un 30% y aumentó el compromiso y la motivación en un 40% en comparación con los métodos convencionales. Los análisis longitudinales demostraron que el aprendizaje multisensorial favorece la retención del conocimiento musical incluso después de largos intervalos, reforzando la efectividad del sistema. Estos hallazgos destacan el potencial transformador de la inteligencia artificial en la educación musical inclusiva, ampliando las oportunidades de aprendizaje para niños sordos. El proyecto sugiere caminos prometedores para futuras investigaciones e innovaciones en tecnología asistiva, contribuyendo a un entorno educativo más equitativo y accesible.
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Derechos de autor 2025 Cristiano da Silva Benites; Ismar Frango Silveira
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
