Proceedings of the 2024 4th International Conference on Internet Technology and Educational Informatization (ITEI 2024)

<Previous Article In Volume
Next Article In Volume>

Generative AI and Learning Motivation among Music Major Students in Chinese Universities: The Challenges and Strategies

Authors
Yan Lou1, *
1School of Music, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, China
*Corresponding author. Email: Lyan7968@163.com
Corresponding Author
Yan Lou
Available Online 1 November 2024.
DOI
10.2991/978-94-6463-560-7_35How to use a DOI?
Keywords
Generative AI; Learning Motivation; Student Interaction
Abstract

This study investigates the impact of generative AI on learning motivation among music major students in China, emphasizing the mediating role of teacher-student interaction. Using a quantitative design, the study collected data in two universities in Nanjing, China. Regression analyses and mediation models were performed to assess the hypothesized relations between variables. The results reveal a positive relationship between the use of generative AI and students’ learning motivation. Teacher-student interaction is identified as a key mediator in this relationship. The findings highlight the need for integrating generative AI into music education. Practical implications include the incorporation of AI tools in teaching practices, professional development for educators, and curriculum design improvements. These insights provide a foundation for enhancing educational practices and underscore the importance of balancing technological advancements with personalized, supportive teaching methods.

Copyright
© 2024 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 4th International Conference on Internet Technology and Educational Informatization (ITEI 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
1 November 2024
ISBN
978-94-6463-560-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-560-7_35How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - Yan Lou
PY  - 2024
DA  - 2024/11/01
TI  - Generative AI and Learning Motivation among Music Major Students in Chinese Universities: The Challenges and Strategies
BT  - Proceedings of the 2024 4th International Conference on Internet Technology and Educational Informatization (ITEI 2024)
PB  - Atlantis Press
SP  - 289
EP  - 294
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-560-7_35
DO  - 10.2991/978-94-6463-560-7_35
ID  - Lou2024
ER  -