The Application and Research of Artificial Intelligence in The Field of Music Education
- DOI
- 10.2991/978-94-6463-040-4_45How to use a DOI?
- Keywords
- Artificial intelligence; music education; intelligent piano; teaching efficiency
- Abstract
AI technology will be used in music teaching, bringing the easiest way to music teaching. This work aims to study the application of artificial intelligence in music teaching. On the basis of full investigation and research on intelligent piano music teaching, combined with the advantages of intelligent piano teaching, the construction of intelligent piano teaching functions complements each other to form the basic framework of intelligent piano teaching. Starting from teaching practice, this paper makes a beneficial exploration of students' piano learning, and combines teaching methods such as game teaching and situational teaching with the functional characteristics of intelligent pianos to improve students' learning efficiency. The results show that 118 students especially like intelligent piano teaching. It provides a new idea and method for educational reform and theoretical support for innovative research on piano education.
- 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.
Cite this article
TY - CONF AU - Zhaoying Zhang PY - 2022 DA - 2022/12/27 TI - The Application and Research of Artificial Intelligence in The Field of Music Education BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 297 EP - 302 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_45 DO - 10.2991/978-94-6463-040-4_45 ID - Zhang2022 ER -