INTEGRATION OF GENERATIVE ARTIFICIAL INTELLIGENCE INTO THE EDUCATIONAL PROCESS OF TRAINING GRAPHIC DESIGNERS

Abstract

The article is devoted to the analysis of the transformational impact of generative artificial intelligence (GenAI) on the educational process of future graphic designers. The aim of the study is to identify key challenges, opportunities and develop practical recommendations for the effective integration of GenAI into educational programs. The article analyzes four key paradigms of GenAI's influence on design: automation and design generation (AIDAG), image processing (AGDIP), creative processes (AACDP) and emotional response modeling (AVERM). The research is based on the theoretical frameworks of the diffusion of innovations theory (DOI) and resource-based learning (RBL) analysis. Methods of analytical review of scientific literature, critical interpretive synthesis and thematic analysis were used. The results demonstrate the dual role of GenAI as a productivity tool and a catalyst for creativity. The main challenges are identified: threats to academic integrity, technological dependence, uncertainty in authorship and low level of teachers' awareness. Ways of implementing GenAI in education are proposed, in particular the combination of traditional methods with AI tools, the development of critical thinking, the formation of ethical guidelines and the updating of curricula. The need to change the role of the teacher from a "knowledge provider" to a "moderator of innovations" is emphasized. The conclusions emphasize that the future of design education lies in the synergy of human creativity with AI tools to create quality design solutions. A hybrid learning model combining 70% traditional techniques and 30% AI optimization is proposed. The research has theoretical and practical value for design teachers, curriculum developers and higher education administration.