The Path of Integrating Traditional Music Culture into Piano Playing Teaching in the Background of Internet

[1] D’Agostino, M. E. (2020). Reclaiming and preserving traditional music: aesthetics, ethics and technology. Organised Sound(1). Search in Google Scholar

[2] Gubner, J. (2018). The music and memory project: understanding music and dementia through applied ethnomusicology and experiential filmmaking. Yearbook for Traditional Music. Search in Google Scholar

[3] Furuya, S., Furukawa, Y., Uehara, K., & Oku, T. (2018). Probing sensorimotor integration during musical performance. Annals of the New York Academy of Sciences, 1423(1). Search in Google Scholar

[4] Wei, Y. (2021). Digital inheritance application of chinese traditional folk art in art teaching in colleges and universities. Forest Chemicals Review. Search in Google Scholar

[5] Cao, C. (2022). Creation characteristics of music piano arrangement based on distributed sensors. Mobile information systems(Pt.22), 2022. Search in Google Scholar

[6] Gong, T. (2021). Deep belief network-based multifeature fusion music classification algorithm and simulation. Complexity, 2021. Search in Google Scholar

[7] Wang, X. (2018). Research on the improved method of fundamental frequency extraction for music automatic recognition of piano music. Journal of Intelligent and Fuzzy Systems(3). Search in Google Scholar

[8] Saragih, H. S., Simatupang, T., & Sunitiyoso, Y. (2019). From co-discovery to co-capture: co-innovation in the music business. International Journal of Innovation Science, 11(4), 600-617. Search in Google Scholar

[9] Gibson, S. J. (2021). Shifting from offline to online collaborative music-making, teaching and learning: perceptions of ethno artistic mentors. Music Education Research, 23(2), 1-16. Search in Google Scholar

[10] Yung, B. (2019). Exploring creativity in traditional music. Yearbook for Traditional Music. Search in Google Scholar

[11] Chitalkina, N., Puurtinen, M., Gruber, H., & Bednarik, R. (2020). Handling of incongruences in music notation during singing or playing. International Journal of Music Education, 39(7), 025576142094403. Search in Google Scholar

[12] Western, T. (2019). “start the forgetting machine! a review of online sound archives of european traditional music.”. Yearbook for Traditional Music, 51, 325-330. Search in Google Scholar

[13] Snell, & Stringham. (2021). Preservice and in-service music educators’ perceptions of functional piano skills. Bulletin of the Council for Research in Music Education(228), 59. Search in Google Scholar

[14] Broughton, M. C., Dimmick, J., & Dean, R. T. (2021). Affective and cognitive responses to musical performances of early 20th century classical solo piano compositions. Music Perception, 38(3), 245-266. Search in Google Scholar

[15] Su, J., Zhou, P., & Schweitzer, F. (2022). Use of gaussian process to model, predict and explain human emotional response to chinese traditional music. Advances in Complex Systems. Search in Google Scholar

[16] Idolor, E. (2020). Repackaging traditional music lyrics to sustain. Journal of Linguistics, 21(1), 137-150. Search in Google Scholar

[17] AEH Bonneville-Roussy. (2020). Teaching music to support students: how autonomy-supportive music teachers increase students’ well-being. Journal of Research in Music Education, 68. Search in Google Scholar

[18] Gilbert, L. (2018). “not just bow and string and notes”: directors’ perspectives on community building as pedagogy in celtic traditional music education organizations. International Journal of Music Education, 36(4), 025576141877493. Search in Google Scholar

[19] Quin, R. (2021). East meets west: investigating the state of djing culture and turntablism pedagogy in china:. International Journal of Music Education, 39(3), 327-339. Search in Google Scholar

[20] Killick, A. (2017). Traditional music and the work concept: the kayagm sanjo of hwang byungki. Yearbook for Traditional Music, 49, 1. Search in Google Scholar

[21] Wang Zongyi, Shao Huaishuang, Deng Shifeng, Zhao Qinxin, Liang Zhiyuan & Wang Yungang. (2024). Optimization of a microchannel heat sink with surrogate model and genetic algorithm.Applied Thermal Engineering(PB),123345-. Search in Google Scholar

[22] Ga Hee Sim, Moon Ghu Park, Gyu ri Bae & Jung Uk Sohn. (2024). Loading pattern optimization using simulated annealing and binary machine learning pre-screening.Nuclear Engineering and Technology(5),1672-1678. Search in Google Scholar

[23] Cheng Wangfeng, Wang Xuanyao & Mao Bangguo. (2023). A multi-feature fusion algorithm for driver fatigue detection based on a lightweight convolutional neural network.The Visual Computer(4),2419-2441. Search in Google Scholar

[24] Palak Chatwani, Shivani Shah & Purvi Ramanuj. (2020). Different Ray-Casting Algorithm Implementations for Volume Rendering.International Journal of Innovative Technology and Exploring Engineering (IJITEE)(7s),112-117. Search in Google Scholar

[25] Cheng Xiaolong, Liu Xinyu, Li Jintao & Zhou Wei. (2024). Deep learning-based point cloud registration: a comprehensive investigation.International Journal of Remote Sensing(10),3412-3442. Search in Google Scholar