Title: Research on vocal music online educational platform based on internet platform

Authors: Yu Tang; Xiaoli Zeng

Addresses: School of Music and Dance, Aba Teachers University, Aba 623002, China ' School of Education, Sichuan Institute of Industrial Technology, Deyang 621000, China

Abstract: To provide efficient and stable online vocal music teaching services and solve the problem of resource waste of traditional internet educational platform, the online vocal music educational platform is constructed by combining CRP and adaptive fuzzy control algorithm, and network resource scheduling is realised by using CRP, and the computational stability of the educational platform is advanced by using adaptive fuzzy control. The research results display that when the number of concurrent subscribers reaches 100, the operation time of online vocal music educational platform is only 237.63 ms, which is significantly lower than other algorithms. Under the influence of the educational platform, the average grade of pupils' vocal music learning is above 85 points. The online vocal music educational platform has high stability, computational efficiency, and performs well in promoting online art teaching. This platform is valuable in promoting online art teaching and teaching mode reform.

Keywords: vocal music education; online teaching; cloud computing; CPR; fuzzy control.

DOI: 10.1504/IJWET.2024.143373

International Journal of Web Engineering and Technology, 2024 Vol.19 No.4, pp.360 - 378

Received: 15 Nov 2023
Accepted: 04 May 2024
Published online: 16 Dec 2024 *

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