AI-enabled Non-legacy: Research on The Integration Strategy of Jingchu Textile Cultural Resources in Art Education in The New Era
Year: 2024
Type: article
Abstract: This paper discusses the application strategy of artificial intelligence (AI) technology in the protection and inheritance of Jingchu textile cultural resources and art education innovation. In the new era, the rapid development of AI technology, which shows great potential in the field of art education, not only revolutionizes the traditional teaching mode but also opens up a new path for the inheritance of intangible cultural heritage. As a treasure of Chinese culture, Jingchu textile culture faces challenges such as the loss of skills. Through the methods of literature review and case study, this paper analyzes the current situation of the application of AI technology in art education in depth and proposes a series of fusion strategies. These strategies are aimed at realizing the effective protection and inheritance of Jingchu textile cultural resources through the empowerment of AI technology and promoting its innovative application in art education, promoting students' cognition and inheritance of traditional culture, and renewing the vitality of Jingchu textile culture in the new era.
Source: Journal of tourism management.
Authors: Li Menghan, Zhang Lei, Hu Xinyu, Chen Bingbing
Institution: Wuhan Textile University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Funder: Wuhan Textile University
OpenAlex ID: W4409884131