Exploring the Pathways for Applying Big Data in Dance Education
DOI:
https://doi.org/10.12775/PPS.2025.21.57462Keywords
Big Data, Dance Education, Application PathsAbstract
Based on the practical cases of big data in dance education, this study discusses the application of big data in dance education from the perspectives of physical assessment and psychological assessment. The research results show that teachers can not only use big data technology to support dance teaching, but also draw inspiration from big data thinking to inspire students. At the same time, big data technology can assess students' physical ability on the one hand, and pay attention to students' mental health on the other hand. A comprehensive understanding of these aspects will help the dance education industry to keep pace with the times and promote the improvement of dance teaching quality.
References
Jia, H. (2022). Application of big data technology in the mental health education of college students. China Educational Technology, (10), I0003-I0004.
Li, K. (2021). Development and innovation of dance reality shows as reflected in Dance Storm. China Television, (7), 53-56.
Li, L., & Li, Y. (2024). A review of the psychological mechanisms and interventions of dance therapy for alleviating anxiety. Journal of Beijing Dance Academy, (3), 152-160.
Lin, X. (2018). Exploration of dance science training paths under big data thinking: Taking the complete bilateral teaching process as an example. Journal of Beijing Dance Academy, (5), 65-71.
Marín-Marín, J.-A., López-Belmonte, J., Fernández-Campoy, J.-M., & Romero-Rodríguez, J.-M. (2019). Big data in education: A bibliometric review. Social Sciences, 8(8), 223.
National Internet Information Office. (2024). National Informatization Development Report (2023). Beijing: National Internet Information Office.
Qiao, Y. (2024). How can today’s dance break through the rhythm of change? China Art News.
Schwab, K. (2016). The Fourth Industrial Revolution (L. Jing, Trans.). Beijing: China Citic Press.
Wasem, D. J. (2014). Mining of Massive Datasets. CreateSpace Independent Publishing Platform.
Yadav, P. K., Sharma, S., & Singh, A. (2019). Big data and cloud computing: An emerging perspective and future trends. In Proceedings of the 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) (pp. 1-4). Ghaziabad, India.
Zhang, S. (2021). Application of traditional dance education thoughts in dance teaching in the era of new technology: Review of "Wu Xiaobang Dance Education Thoughts". People's Yangtze River, 52(8), 249.
Zhao, M., Lin, H., & Zhao, W. (2023). Research and exploration of a new model of physical dance teaching based on the background of big data. Proceedings of the 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Qin Dai, Ziyi Zhao
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0
Stats
Number of views and downloads: 157
Number of citations: 0
