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International Journal of Educational Innovation and Science, 2023, 4(1); doi: 10.38007/IJEIS.2023.040110.

Computer-based Music Solfeggio Teaching Resource Database System under Big Data

Author(s)

Yang Nan

Corresponding Author:
Yang Nan
Affiliation(s)

Jinzhong University, Jinzhong, Shanxi, China

Philippine Christian University, Manila, Philippine

Abstract

With the development of computer and multimedia technology, especially the development of digital music, it is urgent to change the traditional music education mode and education system. According to the national teaching content and teaching style, exploring the library of singing teaching materials and effectively promoting the development of high-quality music education has become the focus of current research. This paper designs the music solfeggio teaching resource database system under big data. This paper first introduces the design principles and business processes of the solfeggio teaching resource database system, and then studies the design methods of the solfeggio teaching resource database system, including the system objectives and composition, knowledge point settings, system framework, and system implementation. At last, it carries out experiments on the role of the solfeggio teaching resource database system. The experimental results show that before the use of the music solfeggio teaching resource database system, the efficiency of music solfeggio teaching is below 80%, and the satisfaction of music solfeggio teaching is below 90%. After the use of the music solfeggio teaching resource database system, the teaching efficiency and teaching satisfaction are greatly improved, indicating that the music solfeggio teaching resource database system is of great help to the music solfeggio teaching.

Keywords

Solfeggio Teaching, Music Teaching, Design of Resource Database System, Big data

Cite This Paper

Yang Nan. Computer-based Music Solfeggio Teaching Resource Database System under Big Data. International Journal of Educational Innovation and Science (2023), Vol. 4, Issue 1: 118-127. https://doi.org/10.38007/IJEIS.2023.040110.

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