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Reform of Traditional Music Teaching Methods and Cultivation of Students’ Musical Creativity on Digital Platforms

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03 feb 2025
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Figure 1.

Multiple intelligence theory
Multiple intelligence theory

Figure 2.

Digital teaching platform design
Digital teaching platform design

Figure 3.

Analysis of the visual effect of digital platform
Analysis of the visual effect of digital platform

Figure 4.

Music creativity analysis results
Music creativity analysis results

After the comprehensive achievement of music

Class Mean SD t P
Before After Before After
Class A 57.10 78.94 6.13 7.98 -2.809 0.004
Class a 56.94 79.64 6.38 6.36 -2.660 0.001
Class B 56.02 62.38 8.18 8.20 -1.860 0.059
Class b 54.87 65.94 8.12 6.41 -2.922 0.051

Different methods are evaluated in the DSD100 validation set

Method Bass (dB) Drums (dB) Other (dB) Vocals (dB)
NCRPCAi 1.61 4.05 2.33 5.19
EFN 1.71 4.08 2.39 5.36
SHN-4 1.8 4.13 2.45 5.43
PSHN 2.08 4.44 2.59 5.50
Att-Ret+Coh 2.24 4.45 2.64 5.45
CLSA 2.23 4.49 2.75 5.43

Sample class analysis

Class Girls Boys Total number Average performance
Class A 36 29 65 57.10
Class a 34 26 60 56.94
Class B 32 34 66 56.02
Class b 28 35 63 54.87

Different methods of separation performance indicators on MIR-1K

Method Vocal (dB) Accompaniments (dB)
GNSDR GSIR GSAR GNSDR GSIR GSAR
NCRPCAi 6.58 10.48 10.45 6.94 12.48 8.32
EFN 8.54 13.62 10.85
SHN-4 8.64 14.25 11.59 9.52 13.78 12.27
PSHN 9.51 14.88 11.81 9.56 13.96 12.48
Att-Ret+Coh 9.87 15.6 12.32 9.65 13.97 12.85
CLSA 10.72 15.66 12.66 9.58 14.09 12.88
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