A Teaching Model for Full-Stack Video Art Creation in the Context of Generative AI

Naijing Liu

GBP Proceedings Series, 2025, vol. 16, 142-149

Abstract: The rapid advancement of generative artificial intelligence (AI) technologies has exerted a profound influence on the field of art education, triggering a paradigm shift. As an innovative approach that spans multiple disciplines, generative AI not only introduces new creative methods and modes of artistic expression but also provokes renewed debates on artistic agency, technological dependence, and evaluation criteria in art practice. Within this context, the interaction between technology and creativity in art education has been reexamined, while the innovative potential and ethical challenges of human-machine collaboration have become increasingly prominent. In the face of challenges brought about by multimodal generative technologies and interdisciplinary integration, a key issue that warrants urgent discussion is how to strike a balance between technological empowerment and the cultivation of creative thinking, so as to promote the sustainable development of art education in the future.

Keywords: Generative AI; human-machine collaboration; interdisciplinary integration; full-stack approach (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://soapubs.com/index.php/GBPPS/article/view/1381/1259 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:axf:gbppsa:v:16:y:2025:i::p:142-149

Access Statistics for this article

More articles in GBP Proceedings Series from Scientific Open Access Publishing
Bibliographic data for series maintained by Yuchi Liu ().