Research on AIGC-Enabled Strategies for Cultivating Interdisciplinary Talents in Digital Media Art toward the Integration of “Design + Technology”

Abstract

With the rapid development of generative artificial intelligence, the creative paradigm of digital media art is shifting from a linear process centered on manual techniques and software operation to a cyclical system driven collaboratively by conceptual reasoning, cross-modal generation, and technological integration. The deep involvement of AIGC not only transforms the tool system of professional creation but also reshapes the interrelationship between “design” and “technology” within talent cultivation. Based on a review of existing literature and an analysis of instructional workflows, this study proposes a comprehensive competency framework aimed at integrating design and technology, consisting of four dimensions: cognitive structure, generative expansion, technological integration, and reflective control. Furthermore, it constructs an AIGC-oriented curriculum network that spans multiple courses, demonstrating the mediating role of generative technologies in design thinking, visual generation, and technical implementation. Building on these foundations, the study proposes talent cultivation strategies centered on competency restructuring, process-driven learning mechanisms, and integrated project-based practice. The findings suggest that in the context of AIGC, talent development in digital media art should shift from a model of skill accumulation to one of structural capacity building, forming a new interdisciplinary training system aligned with future creative industries through the systematic organization of human–AI collaborative processes.