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

<p>In the era of informationization, the inheritance and development of traditional music are facing challenges and opportunities. This study analyzes the problems faced by teaching the basic theory of traditional music and proposes a coping strategy for constructing an interactive teaching model and platform for informatization. In the interactive teaching model, P2P technology is used to design and construct the interactive behavior model and interest analysis module, and fuzzy theory is used to precisely set the key information weights. The informationized teaching platform is designed with AI technology, adopting the recommendation strategy of a hybrid recommendation model combined with collaborative filtering, using cosine similarity to calculate the content similarity, and combining with artificial intelligence technology to realize music teaching quality assessment. In the traditional music basic theory teaching practice, S High School is used as a practice site, and experimental and control classes are set up to conduct teaching. The experimental class perceived negative behaviors such as “harshness” and “dissatisfaction” as lower than the control class, and the pass rate and excellence rate of the post-test of traditional music basic theory reached 92.5% and 36.9%, respectively. The mean values of all other music core literacy dimensions except for knowledge of opera and general knowledge of musical instruments were higher than those of the control class, showing significant differences (P&lt;0.05).</p>
</abstract>

In the era of informationization, the inheritance and development of traditional music are facing challenges and opportunities. This study analyzes the problems faced by teaching the basic theory of traditional music and proposes a coping strategy for constructing an interactive teaching model and platform for informatization. In the interactive teaching model, P2P technology is used to design and construct the interactive behavior model and interest analysis module, and fuzzy theory is used to precisely set the key information weights. The informationized teaching platform is designed with AI technology, adopting the recommendation strategy of a hybrid recommendation model combined with collaborative filtering, using cosine similarity to calculate the content similarity, and combining with artificial intelligence technology to realize music teaching quality assessment. In the traditional music basic theory teaching practice, S High School is used as a practice site, and experimental and control classes are set up to conduct teaching. The experimental class perceived negative behaviors such as “harshness” and “dissatisfaction” as lower than the control class, and the pass rate and excellence rate of the post-test of traditional music basic theory reached 92.5% and 36.9%, respectively. The mean values of all other music core literacy dimensions except for knowledge of opera and general knowledge of musical instruments were higher than those of the control class, showing significant differences (P<0.05).

Research on the Problems of Teaching Traditional Music Basic Theory in the Information Age

Zhengzhou Technology and Business University

Applied Mathematics and Nonlinear Sciences

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

In the era of informationization, the inheritance and development of traditional music are facing challenges and opportunities. This study analyzes the...

Research on the Problems of Teaching Traditional Music Basic Theory in the Information Age

Data publikacji: 05 sie 2024

Zakres stron: -

Otrzymano: 24 mar 2024

Przyjęty: 17 cze 2024

DOI: https://doi.org/10.2478/amns-2024-2157

Słowa kluczowe
P2P technology, AI technology, Interactive behavior model, Hybrid recommendation model, Traditional music

© 2024 Yelin Zhang, published by Sciendo

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

Research on the Problems of Teaching Traditional Music Basic Theory in the Information Age

Data publikacji: 05 sie 2024

Zakres stron: -

Otrzymano: 24 mar 2024

Przyjęty: 17 cze 2024

DOI: https://doi.org/10.2478/amns-2024-2157

Słowa kluczoweP2P technology, AI technology, Interactive behavior model, Hybrid recommendation model, Traditional music

© 2024 Yelin Zhang, published by Sciendo

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

Słowa kluczowe
P2P technology, AI technology, Interactive behavior model, Hybrid recommendation model, Traditional music