Optimization of Online Course Platform for Piano Preschool Education Based on Internet Cloud Computing System

Author:

Hu Qianru1ORCID

Affiliation:

1. School of Educational Sciences, Guangxi Science and Technology Normal University, Laibin, Guangxi, 546199, China

Abstract

This article focuses on introducing online piano teaching methods and has developed and implemented a preschool piano education online course platform. The system consists of four parts: backend, WeChat, client, and web page. Backend development uses PHP language and Laravel system framework, WeChat and web development both use JavaScript language and React framework, client development uses Objective-C language, and the system provides internal support for RESTful API, mainly for client, WeChat, and web. The client relies on the existing voice sensors of the research group to recognize and evaluate the performance of the students. The role of the client is to show the students their homework and demonstrate the activities performed by the teacher. The function of the WeChat terminal is to manage student work, user information, and user social interaction functions. The function of the web page is the score management and data analysis functions. Based on the knowledge of network course design, this article studies the design of piano preschool education platform and adds relevant components of the Internet cloud computer system and voice sensor to this platform, which provides great convenience for students to learn piano.

Funder

Research and Practice of Piano Teaching Reform in Preschool Education Major from the Perspective of “Internet +”

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference13 articles.

1. Out of the laboratory and into the classroom: the future of artificial intelligence in education

2. Big Data in Education: The digital future of learning, policy and practice

3. Creative approaches in music teaching: Possibilities of Web 2.0 technologies

4. Music teaching platform based on FPGA and neural network;A. Xw;Microprocessors and Microsystems,2020

5. The application of “flipped classroom” in music education and teaching in colleges and universities;J. Q. Wang;Management & Technology of SME,2019

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