<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper first analyzes the differentiating factors of piano music education in colleges and universities and constructs a cognitive mapping framework using a fusion graph convolutional network. Secondly, the cognitive mapping of the fusion graph convolutional network was used to extract the cognitive elements of aesthetic value, and then the aesthetic value analysis framework of piano education was constructed. Finally, an empirical analysis was conducted to verify the effectiveness of the aesthetic value analysis framework for piano education. The results showed that the average percentages of A-grade evaluation of the beauty of understanding life, training thinking, exercising ability, and practicing art felt from piano music were 0.494, 0.473, 0.456, and 0.419, respectively, indicating that cognitive mapping can effectively analyze the aesthetic value of college piano in music education.</p>
</abstract>

This paper first analyzes the differentiating factors of piano music education in colleges and universities and constructs a cognitive mapping framework using a fusion graph convolutional network. Secondly, the cognitive mapping of the fusion graph convolutional network was used to extract the cognitive elements of aesthetic value, and then the aesthetic value analysis framework of piano education was constructed. Finally, an empirical analysis was conducted to verify the effectiveness of the aesthetic value analysis framework for piano education. The results showed that the average percentages of A-grade evaluation of the beauty of understanding life, training thinking, exercising ability, and practicing art felt from piano music were 0.494, 0.473, 0.456, and 0.419, respectively, indicating that cognitive mapping can effectively analyze the aesthetic value of college piano in music education.

Analyzing the aesthetic value of college piano in music education using cognitive mapping

Applied Mathematics and Nonlinear Sciences

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

This paper first analyzes the differentiating factors of piano music education in colleges and universities and constructs a cognitive mapping framework using...

Analyzing the aesthetic value of college piano in music education using cognitive mapping

Publié en ligne: 30 oct. 2023

Pages: -

Reçu: 18 nov. 2022

Accepté: 10 mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00869

Mots clés
Cognitive mapping, Graph convolutional network, Cognitive elements, Aesthetic value, Piano music

© 2023 Wei Zhang et al., published by Sciendo

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

Analyzing the aesthetic value of college piano in music education using cognitive mapping

Publié en ligne: 30 oct. 2023

Pages: -

Reçu: 18 nov. 2022

Accepté: 10 mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00869

Mots clésCognitive mapping, Graph convolutional network, Cognitive elements, Aesthetic value, Piano music

© 2023 Wei Zhang et al., published by Sciendo

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

Mots clés
Cognitive mapping, Graph convolutional network, Cognitive elements, Aesthetic value, Piano music