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Szymkowiak, A., Melovi, B., Dabi, M., Jeganathan, K., & Singh, G. (2021). Information technology and gen z: the role of teachers, the internet, and technology in the education of young people. Technology in Society, 65, 101565.Search in Google Scholar
Edwards, S., Nolan, A., Henderson, M., Mantilla, A., Plowman, L., & Skouteris, H. (2018). Young children’s everyday concepts of the internet: a platform for cyber-safety education in the early years. British Journal of Educational Technology, (1).Search in Google Scholar
Dai, D. D. (2021). Artificial intelligence technology assisted music teaching design. Scientific programming, (Pt.14), 2021.Search in Google Scholar
Ci, F. (2017). Research on the new model of music education based on internet plus. Boletin Tecnico/Technical Bulletin, 55(17), 660-666.Search in Google Scholar
Chi, X. (2017). Study on vocal music teaching innovation mode based on computer simulation and voice spectrogram analysis. Revista de la Facultad de Ingenieria, 32(16), 400-406.Search in Google Scholar
Sun, J. (2020). Research on resource allocation of vocal music teaching system based on mobile edge computing. Computer Communications, 160(2).Search in Google Scholar
May, B. N, Broomhead, P., & Tsugawa, S. (2020). A music literacy-based rationale for popular music ensembles and experiences in music education. International Journal of Music Education, (3), 025576142092318.Search in Google Scholar
Lie, S. B. (2022). Feeling to learn: ideologies of race, aurality, and manouche music pedagogy in france. Journal of Linguistic Anthropology, 32(1), 139-160.Search in Google Scholar
Bouhali, F., Mongelli, V., & Cohen, L. (2017). Musical literacy shifts asymmetries in the ventral visual cortex. NeuroImage, 156, 445-455.Search in Google Scholar
Peng, L., & Geng, T. (2017). Acoustical characteristics of chinese musical instrument bamboo flute. The Journal of the Acoustical Society of America, 141(5), 3726-3726.Search in Google Scholar
Mcadams, S., Thoret, E., Wang, G., & Montrey, M. (2023). Timbral cues for learning to generalize musical instrument identity across pitch register. The Journal of the Acoustical Society of America.Search in Google Scholar
Yadav, N., Singh, A. K., & Pal, S. (2022). Improved self-attentive musical instrument digital interface content-based music recommendation system. Computational intelligence.Search in Google Scholar
Li, H. (2017). Study on the innovation path of music teaching mode in multimedia flipped classroom under the internet background. Revista de la Facultad de Ingenieria, 32(12), 913-919.Search in Google Scholar
Ma, X. (2021). Analysis on the application of multimedia-assisted music teaching based on ai technology. Advances in multimedia, (Pt.1), 2021.Search in Google Scholar
Nian, L., & Wang, F. (2017). On the importance of emotional cultivation in vocal music teaching. International Journal of Technology, Management.Search in Google Scholar
Kang, H. (2017). Analysis on selection of vocal music works and effective teaching methods in vocal music teaching in colleges and universities. Revista de la Facultad de Ingenieria, 32(15), 280-283.Search in Google Scholar
Cao, J., Zhao, T., Wang, J., Wang, R., & Chen, Y. (2017). Excavation equipment classification based on improved mfcc features and elm. Neurocomputing, 261(oct.25), 231-241.Search in Google Scholar
Nafchi, H. Z., Shahkolaei, A., Hedjam, R., & Cheriet, M. (2017). Corrc2g: color to gray conversion by correlation. IEEE Signal Processing Letters, PP, (11), 1-1.Search in Google Scholar