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<p>Aiming at the current phenomenon of low teacher-student interaction in vocal music teaching, this paper combines the interaction structure model for the innovation and practice of college vocal music courses. Then, this paper uses Euclidean distance to improve the binary tree SVM multi-class classification algorithm, calculates the distance between the teaching samples of each vocal music course, classifies the samples for processing, and obtains the DBT-SVM multi-class classification algorithm. Finally, the DBT-SVM algorithm was used to establish an evaluation model for vocal course teaching quality in colleges and universities to assess the quality of vocal course teaching models. Each three-level index of teaching motivationality has an evaluation score above 80, which is a good level. The evaluation score for the pedagogical index is 89.44, which is almost excellent. The average score of the second-level index of interpersonal interaction is 74.52, which needs to be further improved. The teaching model of the college vocal music course proposed in this paper lays the foundation for the interactive transformation of vocal music teaching and provides a reference model for the improvement of the learning effect of college students’ vocal music courses.</p>
</abstract>

Aiming at the current phenomenon of low teacher-student interaction in vocal music teaching, this paper combines the interaction structure model for the innovation and practice of college vocal music courses. Then, this paper uses Euclidean distance to improve the binary tree SVM multi-class classification algorithm, calculates the distance between the teaching samples of each vocal music course, classifies the samples for processing, and obtains the DBT-SVM multi-class classification algorithm. Finally, the DBT-SVM algorithm was used to establish an evaluation model for vocal course teaching quality in colleges and universities to assess the quality of vocal course teaching models. Each three-level index of teaching motivationality has an evaluation score above 80, which is a good level. The evaluation score for the pedagogical index is 89.44, which is almost excellent. The average score of the second-level index of interpersonal interaction is 74.52, which needs to be further improved. The teaching model of the college vocal music course proposed in this paper lays the foundation for the interactive transformation of vocal music teaching and provides a reference model for the improvement of the learning effect of college students’ vocal music courses.

Vocal music curriculum design and teaching quality evaluation in colleges and universities based on interactive structure model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Aiming at the current phenomenon of low teacher-student interaction in vocal music teaching, this paper combines the interaction structure model for the...

Vocal music curriculum design and teaching quality evaluation in colleges and universities based on interactive structure model

Published Online: May 30, 2024

Page range: -

Received: Feb 29, 2024

Accepted: May 02, 2024

DOI: https://doi.org/10.2478/amns-2024-1294

Keywords
Interactive structural model DBT-SVM, Euclidean distance, Binary tree, Vocal music teaching quality

© 2024 Yanjun Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Vocal music curriculum design and teaching quality evaluation in colleges and universities based on interactive structure model

Published Online: May 30, 2024

Page range: -

Received: Feb 29, 2024

Accepted: May 02, 2024

DOI: https://doi.org/10.2478/amns-2024-1294

KeywordsInteractive structural model DBT-SVM, Euclidean distance, Binary tree, Vocal music teaching quality

© 2024 Yanjun Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Interactive structural model DBT-SVM, Euclidean distance, Binary tree, Vocal music teaching quality