Publicado en 3C Empresa – Volume 13, Issue 1 (Ed. 53)

Autores

• Mingyang Zhang*

Resumen

Abstract

In this paper, the elite TLBO algorithm is utilized to integrate modern vocal music teaching with traditional music culture, and a feedback phase is introduced to improve the algorithm's optimization accuracy and stability. An intelligent teaching framework is constructed to integrate the integration of different forms and repertoire of traditional music, as well as the integration of phonetics and phonological systems. Artificial intelligence is integrated with modern sound teaching through traditional music culture, and an experimental test and satisfaction survey is conducted in a university as an example. The results show that the percentage of students' time spent on independent learning outside the classroom rises rapidly from 51% to 77%, while on the contrary the percentage of time invested in entertainment decreases from 26.6% to 11.5%. Satisfaction surveys of teachers using the application as well as students were conducted, with all six evaluation components scoring above 9.0. The study shows that the teaching mode of integrating traditional music culture in modern intelligent teaching can enhance the students' vocal skill ability, which in turn improves the students' vocal art quality and improves the overall level of vocal music teaching.

Artículo

Palabras clave

Keywords

Elite TLBO algorithm; feedback stage; phonological system; artificial intelligence; intelligentized teaching

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