Constructing a Differentiation System for Music Teaching Based on Multiple Intelligences and Learning Style Models
19 mar 2025
Acerca de este artículo
Publicado en línea: 19 mar 2025
Recibido: 04 oct 2024
Aceptado: 29 ene 2025
DOI: https://doi.org/10.2478/amns-2025-0505
Palabras clave
© 2025 Bo Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.

Figure 2.

Figure 3.

Regression analysis of teaching feedback and music level
| Variable | Music level | ||
|---|---|---|---|
| Regression coefficient | Standard error | Significance | |
| (constants) | 0.325* | 0.113 | 0.041 |
| Interest | 0.417 |
0.065 | 0.000 |
| Purpose | 0.264 |
0.041 | 0.000 |
| Attitude | 0.521 |
0.069 | 0.000 |
| Ability | 0.316 |
0.087 | 0.000 |
| R2 | 0.365 | ||
| F | 19.846 | ||
The students participate in the results of the music theory test
| Clsss | Mean value | P value | |
|---|---|---|---|
| Pre-test | CK | 73.64 | 0.996 |
| T | 73.57 | ||
| Post-test | CK | 77.12 | 0.000 |
| T | 82.68 |
