Teaching Practice of Dragon and Lion Dance in Colleges and Universities with the Support of Big Data Technology

• Published in: Wireless communications and mobile computing Vol. 2022; pp. 1 - 10
• Main Authors: Chen, Liangjun, Liu, Yuhang, Zuo, Tao, Meng, Tongyu, Xu, Yang, Luo, Pei, Huang, Mingyuan
• Format: Journal Article
• Language: English
• Published: Oxford Hindawi 12.08.2022; Hindawi Limited
• Subjects: Big Data; College campuses; College sports; College students; Colleges & universities; Cultural heritage; Culture; Curricula; Dance; Educational materials; Inheritances; Neural networks; Physical education; Support vector machines; Sustainable development; Teaching; China
• ISSN: 1530-8669; 1530-8677
• DOI: 10.1155/2022/4733795

Colleges and universities are an important part of China’s higher education. They undertake the important task of cultivating talents and are an important part of the construction of a harmonious society. Building a harmonious campus is not only the cornerstone of building a harmonious society but also the internal need to promote the comprehensive, coordinated, and sustainable development of various undertakings in colleges and universities, but also an important goal of the construction, reform, and development of colleges and universities. Therefore, building a harmonious campus has become a new task for colleges and universities, and the construction of harmonious campus culture is the core content of building a harmonious campus. Dragon and lion dance, which originated in China, is a nationally unique art form and deeply contains broad Chinese traditional culture. Studying the role of dragon and lion dance in promoting the construction of harmonious campus culture in colleges and universities will help to strengthen the school’s sports work and enhance national unity, so as to promote the construction of a harmonious campus. Firstly, combined with the characteristics of dragon and lion dance practice, this paper expounds on the development value and strategy of dragon and lion dance in colleges and universities. Then, with the support of big data, the teaching of dragon and lion dance in colleges and universities was studied. An improved depth neural network is used to analyze the data using deep neural mapping support vector machine (DNMSVM) and cross-connected convolutional network. Simulation experiments verify the effectiveness of the model and promote the promotion and popularization of the dragon and lion dance in colleges and universities.