Research on Artificial Intelligence-Assisted Teaching Methods in Chinese Classical Dance Movement Training

[1] Lin, C., & Liu, C. (2023). Intercultural aesthetics in traditional Chinese dance performance. International Review of the Aesthetics and Sociology of Music, 54(1), 129-146. Search in Google Scholar

[2] Wang, X., Yan, Q., & Rosa, D. D. R. (2022). A study on the aesthetic value and etiquette culture of the traditional Chinese dance. Journal of Aussie-Sino Studies, 8(4). Search in Google Scholar

[3] Wilcox, E. E. (2018). Dynamic inheritance: Representative works and the authoring of tradition in Chinese dance. Journal of Folklore Research, 55(1), 77-111. Search in Google Scholar

[4] Liu, X. (2022). Analysis of Jiangxi Folk Dance Form from the Perspective of Dance Ecology. Frontiers in Art Research, 4(12). Search in Google Scholar

[5] Long, X. (2016, July). Analysis on Evolution of Style of Chinese Classical Dance from Classical Dance Play. In 2016 5th International Conference on Social Science, Education and Humanities Research (SSEHR 2016) (pp. 376-379). Atlantis Press. Search in Google Scholar

[6] Jiao, Y., & Zhao, Y. (2024). The essence of dance. A study of Chinese and Western dance philosophy: socio-cultural, historical and educational aspects. Research in Dance Education, 1-18. Search in Google Scholar

[7] Yang, Q., & Wu, L. (2021, January). Opinions on the Choreography Creation of Yunnan Traditional Folk Dance. In The 6th International Conference on Arts, Design and Contemporary Education (ICADCE 2020) (pp. 77-81). Atlantis Press. Search in Google Scholar

[8] Rosala, D., & Budiman, A. (2020, December). Local Wisdom-Based Dance Learning: Teaching Characters to Children through Movements. In Elementary School Forum (Mimbar Sekolah Dasar) (Vol. 7, No. 3, pp. 304-326). Indonesia University of Education. Jl. Mayor Abdurachman No. 211, Sumedang, Jawa Barat, 45322, Indonesia. Web site: https://ejournal.upi.edu/index. php/mimbar/index. Search in Google Scholar

[9] Halquist, D. (2022). Teaching Dance through The Multiple Intelligences. In Teaching What You Want to Learn (pp. 157-167). Routledge. Search in Google Scholar

[10] Xu, S., & Zhou, L. (2021, April). Research on the Development of Dance Education in Colleges and Universities under the Background of Internet. In 2021 International Conference on Internet, Education and Information Technology (IEIT) (pp. 468-472). IEEE. Search in Google Scholar

[11] Hae, J. E. (2024). Relationship Between Visual Image Art and Dance Teaching. Computers in Human Behavior, 108270. Search in Google Scholar

[12] Zhang, Y. (2023). Analysis of Transformation of Dance Teaching Model Equipped with AI. Technology. Frontiers in Educational Research, 6(31). Search in Google Scholar

[13] Zhao, L., Sun, Y., & Tian, T. (2024). Fuzzy Neural Network Model for Intelligent Course Development in Music and Dance Education. International Journal of Computational Intelligence Systems, 17(1), 1-18. Search in Google Scholar

[14] Song, X. (2024). Intelligent multiple-attributes decision support for classroom teaching quality evaluation in dance aesthetic education based on the GRA and information entropy. Journal of Intelligent Systems, 33(1), 20230088. Search in Google Scholar

[15] Lin, Z. (2022, May). Research on the risk analysis method of dance technology based on artificial intelligence. In International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022) (Vol. 12256, pp. 308-313). SPIE. Search in Google Scholar

[16] Yang, X. (2022). Analysis of the construction of dance teaching system based on digital media technology. Journal of Interconnection Networks, 22(Supp05), 2147021. Search in Google Scholar

[17] Song, R., Liu, S., & Zanuttini, J. Z. (2024). The Effect of Dance Education on College Students’ Artistic Quality Under the New Media. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 19(1), 1-16. Search in Google Scholar

[18] Li, X. (2021, April). The art of dance from the perspective of artificial intelligence. In Journal of Physics: Conference Series (Vol. 1852, No. 4, p. 042011). IOP Publishing. Search in Google Scholar

[19] Wang, Z. (2024). Artificial intelligence in dance education: Using immersive technologies for teaching dance skills. Technology in Society, 77, 102579. Search in Google Scholar

[20] Zhang, X. (2023, October). The Application of Artificial Intelligence Technology in Dance Teaching. In First International Conference on Real Time Intelligent Systems (pp. 23-30). Cham: Springer Nature Switzerland. Search in Google Scholar

[21] Hu, Z. (2021, June). Research on the application of virtual reality technology in the teaching of sports dance in colleges and universities. In 2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) (pp. 414-418). IEEE. Search in Google Scholar

[22] Sun, D. (2021). Dance training movement depth information recognition based on artificial intelligence. In 2020 International Conference on Applications and Techniques in Cyber Intelligence: Applications and Techniques in Cyber Intelligence (ATCI 2020) (pp. 355-360). Springer International Publishing. Search in Google Scholar

[23] Das Sima, Adhikary Arpan, Laghari Asif Ali & Mitra Solanki. (2023). Eldo-care: EEG with Kinect sensor based telehealthcare for the disabled and the elderly. Neuroscience Informatics(2). Search in Google Scholar

[24] Wenjin Wang, Lu Miaomiao, Dai Xuanling & Jiang Ping. (2024). Binary Wavelet Transform-Based Financial Text Image Authentication Algorithm. Automatic Control and Computer Sciences(3),326-335. Search in Google Scholar

[25] Zhang Yu, Gan Junsi, Zhao Zewei, Chen Junliang, Chen Xiaofeng, Diao Yinliang & Tu Shuqin. (2023). A real-time fall detection model based on BlazePose and improved ST-GCN. Journal of Real-Time Image Processing(6). Search in Google Scholar

[26] Xinjia Gu, Yimin Chen & Weiqin Tong. (2024). REMA: A Rich Elastic Mixed Attention Module for Single Image Super-Resolution. Sensors(13),4145-4145. Search in Google Scholar

[27] Yuqi Luo, Wei Ke, Chan Tong Lam & Sio Kei Im. (2024). An accurate slicing method for dynamic time warping algorithm and the segment-level early abandoning optimization. Knowledge-Based Systems112231-112231. Search in Google Scholar