Jia’ning Liu

Jia’ning Liu

Oct. 30, 2026

AIGC, Two-dimensional animation, Teaching innovation, Man-machine cooperation, Evaluation system.

This paper aims to respond to the profound challenges posed by generative artificial intelligence technology to traditional two-dimensional animation education and explore the transformation path of teaching system in the AIGC era. The research deeply analyzes the shift from frame-by-frame hand-drawing to intelligent-assisted production paradigm, and reveals the structural lag of the traditional teaching mode with skills as the core in curriculum objectives, content structure and evaluation mechanism. On this basis, the article puts forward a set of systematic innovation strategies: first, reconstruct the course content and establish a three-dimensional curriculum system that integrates cue project, style control and creative planning; Secondly, we should innovate teaching methods and build an interactive ecology based on project system. Finally, this paper puts forward to formulate a new evaluation standard for future-oriented diversified talents' literacy, and bring process iteration, ethical judgment and aesthetic decision-making into the core assessment dimension. Only by breaking the shackles of single skill teaching and turning to the deep combination of thinking empowerment and man-machine cooperation can we effectively solve the problem of the disconnection between talent training and industrial demand. The new educational paradigm improves the creative efficiency, redefines the subject value of human creators in the algorithm era, and provides support for cultivating compound animation talents with forward-looking vision and humanistic spirit.

© 2026, the Authors. Published by ISCCAC

This is an open access article distributed under the CC BY-NC license