Optimization Analysis of University Music Education Mode Under the Background of Artificial Intelligence

DOI

10.2991/978-94-6463-040-4_226How to use a DOI?

Keywords

AI; University Music Education Model; Optimization Analysis; Comparative Experiment

Abstract

In recent years, the active attempts and breakthrough progress of artificial intelligence (AI) in university music education have been amazing. In this regard, the purpose of this paper is to study the optimization of university music education models under the background of AI. this paper first describes the birth of AI and its evolution and development in music education. Then, this paper uses questionnaire survey methods to understand undergraduate’ understanding, likes and cognition of college music education models, and obtains a true and reliable basis, so as to more truly understand the necessity of combining AI and music education. Based on the results of investigation and research, this paper uses AI technology to optimize the university music education model. this paper integrates AI technology into music education reasonably and effectively, and uses the powerful intelligence of AI to transform music education into interesting and passionate education, which can guide undergraduate to actively participate in learning. Finally, this paper compares the optimized university music education model with the traditional music education model. Experimental results show that the optimized college music education model has been recognized and loved by more undergraduate, and students' love for music has increased by about 15%, which has played an important role in improving students' enthusiasm for learning music, and is an optimization study of university music education models. Provide an important reference.

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  - Yingge Wu
PY  - 2022
DA  - 2022/12/27
TI  - Optimization Analysis of University Music Education Mode Under the Background of Artificial Intelligence
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1512
EP  - 1516
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_226
DO  - 10.2991/978-94-6463-040-4_226
ID  - Wu2022
ER  -