AI-enabled Non-legacy: Research on The Integration Strategy of Jingchu Textile Cultural Resources in Art Education in The New Era

DOI: https://doi.org/10.62517/jtm.202413507

Author(s)

Li Menghan1, Zhang Lei1,2, Hu Xinyu1, Chen Bingbing1

Affiliation(s)

1College of Art and Design, Wuhan Textile University, Wuhan, Hubei, China 2Textile Culture Research Center, Wuhan Textile University, Wuhan, Hubei, China

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.

Keywords

Artificial Intelligence (AI); Jingchu Textile Culture; Digital Conservation; Art Education

References

[1] Hu Zhaoling, Mao Dejuan. Historical Interpretation and Ethical Implications of Textile and Clothing Culture in Jingchu—A Review of Textile and Clothing of the Chu People [J]. 2016. [2] Zhang Yanhong, Luo Feili. Spiritual Characteristics, Era Value, and Inheritance Innovation of Jing Chu Culture [J]. Study and Practice, 2018(11). [3] Fan Wei, Zeng Lei. Exploring the Path of Intelligent Data Generation for the Revitalisation and Utilisation of Cultural Heritage in the New Era of AI. Chinese Journal of Librarianship, 2024, No. 2. DOI: 10.13530/j. cnki. jlis. 2024010A [4] Xie Xiaoyu, Fan Shengxi. Inheritance and Innovation of Intangible Cultural Heritage in the Age of Artificial Intelligence: Based on the Cross Perspective of Ethnography and Design [J]. Guizhou Ethnic Studies, 2024, (2). [5] Jia Jing. A Progressive Roadmap for Digital Communication of Intangible Cultural Heritage in the Context of Artificial Intelligence [J]. New Media, 2020(1):98-102. [6] Xiao Yuanping, Wang Weijie. Research on the Path of Construction of Public Service Platform for Digitisation of Cultural Heritage in China [J]. Journal of Shenzhen University (Humanities and Social Sciences Edition), 2016. [7] Zhang Lei. Research on the Protection of Jingchu Textile Intangible Cultural Heritage Based on the Concept of Eco-museum [J]. Costume Guide, 2020, Volume 9, Issue 4. [8] Liu Hongqin. the significance, function, and way of construction of the digital museum of Jingchu embroidery [J]. Journal of Wuhan Textile University, 2019, 32(3):57-61. [9] MA Jin, ZHANG Tongtong, QIAN Xiaosong, HU Jie. Current status of research on the application of artificial intelligence in the protection and transmission of intangible cultural heritage [J]. Packaging Engineering, 2023, 44(8):1-14. [10] HE Liang, YU Yue, XU Chunling. Progress of research and practice related to interactive teaching using online platforms at home and abroad [J]. E-government, 2014. (03). [11] Liu BN, Zhang JW. Innovative research on the application of AI interactive technology in art course design [J]. Science and Technology Perspectives, 2021(18):3-5. DOI:10.19694/j. cnki. issn2095-2457.2021.18.02. [12] Bui My Trinh, Nguyen Thi Phuong, Phan Bao Trung. 11th International Conference on Emerging Challenges: Smart Business and Digital Economy 2023 (ICECH 2023), How Students Interact with AI-Teaching Assistant: Roles of Novelty and Innovativeness, ' Conference, [P] 11th International Conference on Emerging Challenges: Smart Business [13] HE Liang, YU Yue, XU Chunling. Progress of research and practice related to interactive teaching using online platforms at home and abroad [J]. E-government, 2014. (03). [14] Fan Xiaoying, Zhong Xianghu. Computers and Electrical Engineering, Artificial intelligence-based creative thinking skill analysis model using human–computer interaction in art design teaching. ' Journal, [J]Computers and Electrical Engineering. Volume 100, Issue, 2022 [15] Chen Weiyan. Digital Transformation of Higher Vocational Art and Design Discipline Education: Current Situation, Dilemma, and Countermeasures [J]. Journal of Changzhou Institute of Information Vocational Technology, 2023, 22(4):76-79. [16] Zhang Wen; Shankar Achyut; Antonidoss A. Art Art Education, Modern Art Education and Teaching Based on Artificial Intelligence. ' Journal, [J]Journal of Interconnection Networks. Volume 22, Issue Supp01, 2022