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An Innovative Study of Traditional Music Pedagogy Based on Time Series Analysis

Chao Long

Chao Long

College of Art, Hebei University of Economics and BusinessShijiazhuang, China
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Long, Chao
 e 
Xueyuan Cai

Xueyuan Cai

College of Art, Hebei University of Economics and BusinessShijiazhuang, China
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Cai, Xueyuan
  
26 mar 2025
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Pubblicato online: 26 mar 2025
Ricevuto: 22 ott 2024
Accettato: 17 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0809
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© 2025 Chao Long et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Online learning behavior analysis model based on data mining technology
Online learning behavior analysis model based on data mining technology

Figure 2.

The student’s behavioral statistics in the music classroom
The student’s behavioral statistics in the music classroom

Figure 3.

The learner learns the status cluster category
The learner learns the status cluster category

Figure 4.

Learning effect predictive can evaluate the results of the test results
Learning effect predictive can evaluate the results of the test results

Figure 5.

The results of the learning effect of different cluster learners
The results of the learning effect of different cluster learners

The musical learning recommendation plan

Learning plan Weekly learning Learning time (min)
I 4-6 60~90
II 5 100~120
III 6-8 30~60
IV 3~4 150~180
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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