Research on the construction and use of a choral conducting learning platform based on the context of big data research

DOI

10.2991/978-94-6463-276-7_15How to use a DOI?

Keywords

Big Data Context; Algorithmic support; Choral Platform; Platform building

Abstract

Based on the choral learning background research secondary school choir choral education work is the core content of the systematic construction work, trinity systematic construction, it can be said that the formation of the management and team operation of the good construction is to provide a more solid foundation for the development of choral education practice, the construction of choral education is more decisive and critical. Choral education encompasses choral teaching and holistic education, including the practice of teaching professional technique, the practice of teaching musicianship, the practice of teaching musical perception, the practice of supervising cultural learning, the practice of shaping good character, and the practice of cultivating competence. This paper combines the support of the big data background, the choral conducting platform for the combination of research and exploration, on the basis of the platform construction of the choral learning platform for the optimisation of research and exploration.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Linying Huang
PY  - 2023
DA  - 2023/10/27
TI  - Research on the construction and use of a choral conducting learning platform based on the context of big data research
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 126
EP  - 132
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_15
DO  - 10.2991/978-94-6463-276-7_15
ID  - Huang2023
ER  -