Abstract

This study explores innovative pathways for developing a dynamic inheritance model of Yingge dance (a traditional Chinese folk art) through “teaching-learning-transmitting-innovation” in higher education institutions, driven by big data technology. By establishing a closed-loop system for data collection, analysis, and application, the research achieves personalized teaching pathway design, intelligent dissemination network construction, and optimized collaborative innovation mechanisms, thereby reshaping the inheritance ecosystem of traditional skills. The findings indicate that technology-driven empowerment can significantly enhance inheritance efficiency and cultural identity, while requiring ethical boundaries to balance data privacy protection and cultural authenticity preservation. Furthermore, multi-stakeholder collaboration mechanisms are proposed to overcome resource integration barriers.

Keywords: Big Data-Driven; Yingge Dance; Living Inheritance; Digital Innovation; Collaborative Mechanism

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Citation

Narantsatsral Delgerkhuu., et al. “Research on Innovation of Dynamic Inheritance Mode of Yingge Dance in Colleges and Universities Driven by Big Data: Teaching, Learning, Transmission and Creation". Clareus Scientific Science and Engineering 3.3 (2026): 28-34.

Copyright

© 2026 Narantsatsral Delgerkhuu., et al. Licensee Clareus Scientific Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.