An Innovative Study of Traditional Music Pedagogy Based on Time Series Analysis

[1] Chrysostomou, S. (2017). Technology in the music classroom: Navigating through a dense forest. The Oxford handbook of technology and music education, 105. ChrysostomouS. (2017). Technology in the music classroom: Navigating through a dense forest. The Oxford handbook of technology and music education, 105.Search in Google Scholar

[2] Karkina, S. V., Batyrshina, G. I., & Valeeva, R. A. (2020, October). A sustainable approach to music education: towards a cultural ecology in the digital age. In Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 535-541). KarkinaS. V.BatyrshinaG. I. & ValeevaR. A. (2020, October). A sustainable approach to music education: towards a cultural ecology in the digital age. In Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 535-541).Search in Google Scholar

[3] Fan, Y. (2021, April). Application of computer technology in vocal music teaching. In Journal of Physics: Conference Series (Vol. 1881, No. 2, p. 022050). IOP Publishing. FanY. (2021, April). Application of computer technology in vocal music teaching. In Journal of Physics: Conference Series (Vol. 1881, No. 2, p. 022050). IOP Publishing.Search in Google Scholar

[4] Pećanac, R., Jeremić, B., & Milenović, Z. (2016). Digital media in the teaching of music education. The New Educational Review, 43, 236-247. PećanacR.JeremićB. & MilenovićZ. (2016). Digital media in the teaching of music education. The New Educational Review, 43, 236-247.Search in Google Scholar

[5] Kladder, J. (2020). Digital audio technology in music teaching and learning: A preliminary investigation. Journal of Music, Technology & Education, 13(2-3), 219-237. KladderJ. (2020). Digital audio technology in music teaching and learning: A preliminary investigation. Journal of Music, Technology & Education, 13(2-3), 219-237.Search in Google Scholar

[6] Zhang, Y., & Yi, D. (2021). A new music teaching mode based on computer automatic matching technology. International Journal of Emerging Technologies in Learning (iJET), 16(16), 117-130. ZhangY. & YiD. (2021). A new music teaching mode based on computer automatic matching technology. International Journal of Emerging Technologies in Learning (iJET), 16(16), 117-130.Search in Google Scholar

[7] Zhang, P., & Sui, X. (2017). Application of digital music technology in music pedagogy. International Journal of Emerging Technologies in Learning (iJET), 12(12), 4-13. ZhangP. & SuiX. (2017). Application of digital music technology in music pedagogy. International Journal of Emerging Technologies in Learning (iJET), 12(12), 4-13.Search in Google Scholar

[8] Zheng, D., & Wang, Y. (2022). The Application of Computer-Aided System in the Digital Teaching of Music Skills. Computer‐Aided Design & Applications, 19, S7. ZhengD. & WangY. (2022). The Application of Computer-Aided System in the Digital Teaching of Music Skills. Computer‐Aided Design & Applications, 19, S7.Search in Google Scholar

[9] Wan, W. (2022). Digital technologies in music education: The case of chinese students. Revista Música Hodie, 22. WanW. (2022). Digital technologies in music education: The case of chinese students. Revista Música Hodie, 22.Search in Google Scholar

[10] Goncharova, M. S., & Gorbunova, I. B. (2020). Mobile technologies in the process of teaching music theory. Propósitos y Representaciones, (SPE3), e705-e705. GoncharovaM. S. & GorbunovaI. B. (2020). Mobile technologies in the process of teaching music theory. Propósitos y Representaciones, (SPE3), e705-e705.Search in Google Scholar

[11] Yuan, Y. (2020). Design and realization of computer aided music teaching system based on interactive mode. Computer-Aided Design and Applications, 1(2). YuanY. (2020). Design and realization of computer aided music teaching system based on interactive mode. Computer-Aided Design and Applications, 1(2).Search in Google Scholar

[12] Li, D. (2015). New” Field” of Vocal Music Teaching and Research: Research on the Construction of a Novel Interaction Mode. English Language Teaching, 8(12), 74-78. LiD. (2015). New” Field” of Vocal Music Teaching and Research: Research on the Construction of a Novel Interaction Mode. English Language Teaching, 8(12), 74-78.Search in Google Scholar

[13] He, Y. (2020, April). Research on online teaching of music performance based on diversification and intelligence–take the online music teaching during the covid-19 as an example. In 2020 International Conference on E-Commerce and Internet Technology (ECIT) (pp. 193-196). IEEE. HeY. (2020, April). Research on online teaching of music performance based on diversification and intelligence–take the online music teaching during the covid-19 as an example. In 2020 International Conference on E-Commerce and Internet Technology (ECIT) (pp. 193-196). IEEE.Search in Google Scholar

[14] Dammers, R. J. (2019). The role of technology in music teacher education. The Oxford handbook of preservice music teacher education in the United States, 365-376. DammersR. J. (2019). The role of technology in music teacher education. The Oxford handbook of preservice music teacher education in the United States, 365-376.Search in Google Scholar

[15] Asztalos, B. (2021). Digital transformation trends in music teaching and training systems. Studia Universitatis Babes-Bolyai-Musica, 66(2), 39-47. AsztalosB. (2021). Digital transformation trends in music teaching and training systems. Studia Universitatis Babes-Bolyai-Musica, 66(2), 39-47.Search in Google Scholar

[16] Serikbol, S., Karylgash, K., Zhanna, A., Moldir, U., & Zhumatay, T. (2022). Formation of Singing Skills of Future Music Teachers through Digital Resources. World Journal on Educational Technology: Current Issues, 14(1), 282-293. SerikbolS.KarylgashK.ZhannaA.MoldirU. & ZhumatayT. (2022). Formation of Singing Skills of Future Music Teachers through Digital Resources. World Journal on Educational Technology: Current Issues, 14(1), 282-293.Search in Google Scholar

[17] Supiarza, H., & Sarbeni, I. (2021). Teaching and learning music in digital era: creating keroncong music for gen z students through interpreting poetry. Harmonia: Journal of Arts Research and Education, 21(1), 123-139. SupiarzaH. & SarbeniI. (2021). Teaching and learning music in digital era: creating keroncong music for gen z students through interpreting poetry. Harmonia: Journal of Arts Research and Education, 21(1), 123-139.Search in Google Scholar

[18] Pattananon, N., Pongvatnanusorn, P., Gularnupong, K., & Niramittham, K. (2024). Pedagogical Innovations In Advanced Music Education. Educational Administration: Theory and Practice, 30(4), 8334-8337. PattananonN.PongvatnanusornP.GularnupongK. & NiramitthamK. (2024). Pedagogical Innovations In Advanced Music Education. Educational Administration: Theory and Practice, 30(4), 8334-8337.Search in Google Scholar

[19] Zhong, J. (2023). Music Information Technology as a Practical Direction for Developing the Innovative Abilities of Future Music Educators. Journal of Education and Educational Research, 4(3), 202-206. ZhongJ. (2023). Music Information Technology as a Practical Direction for Developing the Innovative Abilities of Future Music Educators. Journal of Education and Educational Research, 4(3), 202-206.Search in Google Scholar

[20] Ma, X. (2024). The intersection of innovative teaching methods, digital learning tools and innovative behavior in music art learning. Current Psychology, 43(36), 29154-29169. MaX. (2024). The intersection of innovative teaching methods, digital learning tools and innovative behavior in music art learning. Current Psychology, 43(36), 29154-29169.Search in Google Scholar

[21] Si, Y. (2021, September). Construction of Music Storage and Extraction System Based on Time Series Analysis. In 2021 4th International Conference on Information Systems and Computer Aided Education (pp. 506-510). SiY. (2021, September). Construction of Music Storage and Extraction System Based on Time Series Analysis. In 2021 4th International Conference on Information Systems and Computer Aided Education (pp. 506-510).Search in Google Scholar

[22] Deng, J. J., & Leung, C. H. (2015). Dynamic time warping for music retrieval using time series modeling of musical emotions. IEEE transactions on affective computing, 6(2), 137-151. DengJ. J. & LeungC. H. (2015). Dynamic time warping for music retrieval using time series modeling of musical emotions. IEEE transactions on affective computing, 6(2), 137-151.Search in Google Scholar

[23] Serra, J., Kantz, H., Serra, X., & Andrzejak, R. G. (2011). Predictability of music descriptor time series and its application to cover song detection. IEEE Transactions on Audio, Speech, and Language Processing, 20(2), 514-525. SerraJ.KantzH.SerraX. & AndrzejakR. G. (2011). Predictability of music descriptor time series and its application to cover song detection. IEEE Transactions on Audio, Speech, and Language Processing, 20(2), 514-525.Search in Google Scholar

[24] Yanqi Lian,Shamsunnahar Yasmin & Md Mazharul Haque. (2025). Influence of road safety policies on the long-term trends in fatal Crashes: A Gaussian Copula-based time series count model with an autoregressive moving average process. Accident Analysis and Prevention107795-107795. LianYanqiYasminShamsunnahar & HaqueMd Mazharul. (2025). Influence of road safety policies on the long-term trends in fatal Crashes: A Gaussian Copula-based time series count model with an autoregressive moving average process. Accident Analysis and Prevention107795-107795.Search in Google Scholar

[25] Gholamreza Hesamian,Arne Johannssen & Nataliya Chukhrova. (2024). A neural network-based ARMA model for fuzzy time series data. Computational and Applied Mathematics(8),445-445. HesamianGholamrezaJohannssenArne & ChukhrovaNataliya. (2024). A neural network-based ARMA model for fuzzy time series data. Computational and Applied Mathematics(8),445-445.Search in Google Scholar

[26] Xinjian Bai,Yuchen Xu,Yongqian Liu,Hang Meng & Tsogtgerel Davaasuren. (2025). Wind turbine blade icing diagnosis based on k-means clustering and label propagation algorithm. International Journal of Green Energy(1),124-139. BaiXinjianXuYuchenLiuYongqianMengHang & DavaasurenTsogtgerel. (2025). Wind turbine blade icing diagnosis based on k-means clustering and label propagation algorithm. International Journal of Green Energy(1),124-139.Search in Google Scholar