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La retroalimentación asistida por IA y la reflexión en la formación musical vocal: efectos en la metacognición y el

Wen Li^1,2, Xuerong Cui³, Pravina Manoharan²

¹School of Teacher Education, Aba Teachers College, Wenchuan, Sichuan, China.

Frontiers in psychology

|September 3, 2025

Resumen

La inteligencia artificial (IA) y las herramientas de aprendizaje electrónico mejoraron la metacognición en la formación musical vocal. Si bien el aprendizaje asistido por IA mejoró las habilidades de canto, no se correlacionó con las ganancias metacognitivas ni superó significativamente los métodos tradicionales.

Área de la Ciencia:

Educación musical
Tecnología educativa
Ciencias cognitivas

Sus antecedentes:

La metacognición es crucial para el aprendizaje y a menudo es alta en músicos consumados.
La reflexión y la retroalimentación son estrategias clave para desarrollar la metacognición.
La integración de la IA y el aprendizaje electrónico en la educación musical es un área de investigación emergente.

Objetivo del estudio:

Investigar el impacto de la IA y las herramientas de aprendizaje electrónico en las habilidades metacognitivas y el rendimiento del canto.
Explorar la eficacia de las intervenciones de retroalimentación y reflexión en la formación musical vocal para los profesores de pre-servicio.
Proporcionar un marco para la implementación de la IA en la instrucción musical.

Principales métodos:

Un estudio experimental de seis semanas con un grupo de control (instrucción convencional) y un grupo experimental (herramientas de IA, retroalimentación, reflexión).
Las intervenciones incluyeron herramientas de autoevaluación, interacción con un gran modelo de lenguaje (chatbot de IA) y un diario reflexivo.
Los datos se analizaron utilizando medidas repetidas bidireccionales ANOVA y modelos mixtos lineales.

Principales resultados:

El entrenamiento asistido por IA tuvo un impacto significativo en el desarrollo de la capacidad metacognitiva.
Ambos grupos mostraron mejoras significativas en el rendimiento del canto, pero no se encontró ningún efecto de interacción significativo entre el tiempo y el grupo.
No se observó ninguna correlación entre la metacognición y el rendimiento del canto.

Conclusiones:

La IA y las herramientas de aprendizaje electrónico pueden proporcionar retroalimentación personalizada y fomentar la participación reflexiva en la educación musical.
Estas tecnologías ofrecen un marco viable para mejorar el desarrollo metacognitivo en la formación musical.
Se necesita más investigación para explorar la relación matizada entre la IA, la metacognición y los resultados del rendimiento.

Palabras clave:

Aprendizaje musical asistido por IA la retroalimentación metacognición maestros de pre-servicio reflexión Formación en música vocal

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