Uneingeschränkter Zugang

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
Suche nach diesem Autor auf
Sciendo|Google Scholar
Long, Chao
 und 
Xueyuan Cai

Xueyuan Cai

College of Art, Hebei University of Economics and BusinessShijiazhuang, China
Suche nach diesem Autor auf
Sciendo|Google Scholar
Cai, Xueyuan
  
26. März 2025
An Innovative Study of Traditional Music Pedagogy Based on Time Series Analysis's Cover Image
Über diesen Artikel
Vorheriger Artikel
Nächster Artikel
Zitieren
COVER HERUNTERLADEN
Online veröffentlicht: 26. März 2025
Eingereicht: 22. Okt. 2024
Akzeptiert: 17. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0809
Schlüsselwörter
© 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
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere
Zeitschrift RSS Feed