Fengheng Tang, Sijin Wang

Tianfu New Area General Aviation profession Academy

Abstract：

To reconstruct teaching methodologies within art creation courses and enhance students' capacity to integrate artificial intelligence technologies into design applications, this paper systematically analyses the current implementation of generative AI technologies in text generation and visual creation curricula. It emphasises that incorporating generative AI into curriculum reform can reduce artistic production costs by enriching design resource libraries, while cultivating students' interdisciplinary thinking through deep learning. This approach aligns with industry recruitment standards. Building upon this foundation, the paper proposes an implementation pathway for pedagogical reform. This includes constructing multimodal teaching content, stimulating multisensory experiential learning models, and establishing formative assessment mechanisms. These innovative teaching strategies aim to provide a new paradigm for reforming AI-empowered teaching content, methodologies, and evaluation systems. They offer insights and considerations for transforming students from passive, mechanical operators of creative software into high-calibre original designers suited to the AI era.

Key Words：

artistic creation course; AIGC(Artificial Intelligence Generated Content); teaching innovation