Author(s)

Jianhua Li ^1,2

Affiliation(s)

¹ Shanxi Datong University, Datong, Shanxi, China
² Philippine Christian University, Manila, Philippine

Corresponding Author

Jianhua Li

ABSTRACT

Economic development has improved people's living standards and enriched people's daily entertainment activities. People have put forward new requirements for singing and performing. Vocal music teaching (VMT) is a part of the education system, which aims to cultivate singers and create music art enterprises. The new curriculum reform and public demand promote the reform of singing education. The singing course must understand students' singing skills and open up new ways of learning. Therefore, this paper analyzes the principles and precautions of VMT to study its existing problems, and uses big data to optimize the corresponding training channels, so that teachers' teaching methods and students' learning ability can be innovated, to improve students' singing ability, promote them to master more singing skills, and cultivate more excellent music talents.

KEYWORDS

Vocal Music Teaching, Big Data, Singing Ability Training, Training Method Research

CITE THIS PAPER

Jianhua Li, Research on Training Methods of Students' Singing Ability in College Vocal Music Teaching under Big Data. Curriculum and Teaching Methodology (2023) Vol. 6: 116-122. DOI: http://dx.doi.org/10.23977/curtm.2023.060719.

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