AI-Assisted Innovation in the Educational Paradigm of "New Media Animation Creativity and Design" Course
Year: 2025
Type: article
Abstract: In the era of continuous iterative development of artificial intelligence, it brings development and transformation to all walks of life. The animation industry has undergone significant changes empowered by artificial intelligence. The production efficiency of traditional animation has been greatly enhanced with the help of artificial intelligence. In terms of animation scripts, character and scene design, through the construction of artificial intelligence text-to-image and image-to-image models, a large number of character and scene design images can be generated in a short time for creators to choose from. While artificial intelligence empowers animation creation, it also brings certain problems. Currently, there are two major gaps in AI animation education: On the one hand, teaching in colleges and universities generally remains at the level of basic tool operation, lacking systematic integration of industrial-level workflows; On the other hand, the "innovation methodology" that emerged in industry practice failed to be promptly transformed into teaching resources. This paper analyzes representative cases and combines the educational reform practices of institutions such as Shenzhen University and Hubei Institute of Fine Arts to construct a three-in-one teaching framework of "technology integration - creation empowerment - case teaching", and proposes an educational paradigm innovation path of "taking cases as a bridge to connect the industry-university-research ecosystem", providing animation creation talents adapted to the AI era for new media animation education.
Authors: Jing Zhu, Song Jin
Institution: Nanning University
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4411737658