La innovación en la poesía clásica china y la música vocal contribuye al desarrollo del canto moderno en la enseñanza
DOI:
https://doi.org/10.48017/dj.v11iSpecial_1.3654Palabras clave:
Poesia Clásica, Inovação, Música Vocal, Canto ModernoResumen
La innovación en la enseñanza es una tendencia actual, incluyendo la educación musical. Este estudio tuvo como objetivo encontrar formas y métodos para subsanar las deficiencias e innovar para preservar el patrimonio estético de la poesía china antigua en la educación musical vocal moderna. Participaron 171 personas. La mayoría tenía entre 21 y 23 años, eran mujeres y, en su mayoría, estudiantes. Recordaban rápidamente canciones y poemas antiguos a través de rimas. Aprendieron canciones y poemas antiguos mediante videos en línea. También recordaron la canción "Río Poderoso". Las participantes aprendieron de forma autodidacta, con una frecuencia de práctica de dos veces por semana. La mayoría utilizó la fonología y la rima, aprendiendo más cuando había connotaciones mentales en los poemas y canciones. La dificultad para aprender poemas y canciones antiguas radicaba en comprender su significado cultural. En cuanto a la dificultad poética y el contexto, el humor de los poetas obtuvo la puntuación más alta entre las preguntas. En el nuevo método de enseñanza, las participantes afirmaron que el uso de la repetición era muy efectivo, y la explicación de las connotaciones culturales también fue considerada muy efectiva. En cuanto a las innovaciones musicales, el uso de vestuario exquisito y tecnología musical fueron las opciones preferidas por los participantes. No se observaron diferencias significativas en los métodos de enseñanza ni en los perfiles (edad, género, formación académica, métodos de aprendizaje de cantos y melodías antiguas y frecuencia de práctica) al agrupar los datos. Además, los resultados del estudio servirán de base para mejorar y enriquecer el currículo musical actual. Sin embargo, el estudio se limita a sugerir nuevos métodos de enseñanza y no implica la exclusión de ningún método existente.
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Derechos de autor 2026 Cheng Zhengping, Rowena Dellova
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