Name
Exploring Multimodal Learning Models of Artificial Intelligence Technology in Primary School Extracurricular Education
Date & Time
Wednesday, July 29, 2026, 4:05 PM - 4:20 PM
Description
This study aims to explore the application mode and effectiveness of music artificial intelligence technology in the teaching context of extracurricular music clubs, with a particular focus on the specific learning experience of fourth grade primary school students. Traditional music teaching focuses on singing and instrument performance, while the generative creation of AI technology transforms music theory knowledge into audible, visual, and perceptible dynamic experiences, effectively enhancing students' participation and creativity
Based on the design research method, a 10 week teaching practice was conducted in a music club outside the school. The course design takes "perception understanding creation" as the logical mainline, integrating AI music generation platforms such as Soundbug and NetEase Cloud Music X Studio, as well as simple visual programming tools.
The practical results have shown that the Music AI tool effectively transforms abstract music theory knowledge (such as pitch, rhythm, and musical form) into tangible objects that can be visualized and listened to in real-time. Research has confirmed that this model successfully promotes students' interdisciplinary learning ability. Students are able to transform poetry into lyrics for composing and singing, achieving a deep integration of "art technology" and gaining a sense of achievement in the co creation of "human-machine integration".
The conclusion of this study is that in primary school music education outside of school, AI driven creative practice models can effectively compensate for the limitations of traditional teaching and have positive reference value for promoting the modernization transformation of music education. The cultivation of scientific thinking and innovative consciousness through human-machine collaborative creation. In the future, further optimization of AI tools and attention to technological inclusiveness are needed to promote the intelligent and personalized development of extracurricular music education.
Have made a huge differences between the old fashion and the new gen music education
参考文献
1.Williams, D. A. (2014). The Another Perspective: The Cosmopolitan Musician. Music Educators Journal, 100(3), 63-68.
2.Tobias, E. S. (2013). Toward Convergence: Adapting Music Education to Contemporary Society and Participatory Culture. Music Educators Journal, 9
3.Crow, B. (2022). Beyond the Metronome: Using AI Music Generation to Foster Creativity in the Classroom. In Proceedings of the International Conference on New Interfaces for Musical Expression (NIME).
4.Odena, O., & Welch, G. (Eds.). (2022). Music and Technology: A Guide for Musicians and Educators. Routledge.
Below are the data sources for this abstract.
Location Name
512F
Full Address
Palais des Congres - Montréal Convention Centre
1001, Place Jean-Paul-Riopelle
Montreal QC H2Z 1H2
Canada
1001, Place Jean-Paul-Riopelle
Montreal QC H2Z 1H2
Canada
Session Type
Short Paper Presentation
Presenting Author(s)
BOWEI WANG