OPTIMIZATION OF THE EDUCATIONAL PROCESS OF GRAPHIC TRAINING USING ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.32782/uad.2026.3.42Keywords:
artificial intelligence, graphic disciplines, generative networks, digital education, computer graphics, educational technologies, visualizationAbstract
Modern design and architecture require students to master a huge range of tools: from classical sketching skills, composition theory to complex modeling using graphic editors. Facilitating the teaching of graphic disciplines for future designers and artists using artificial intelligence (AI) is not just automating routine, but an urgent need and priority task. It is in this case that AI becomes the link that helps to master the profession faster. The article explores the transformative potential of AI technologies in the process of teaching a graphic creative discipline, such as Calligraphy, at the Department of Descriptive Geometry and Engineering Graphics of the Odessa State Academy of Civil Engineering and Architecture. The relevance of the work is due to the rapid development of generative models and the need to adapt educational programs to the requirements of the modern design and architecture industry. The authors analyzed key AI tools and identified their role in the formation of students' professional competencies. The study proposed implementation stages that allow optimizing routine operations and focusing on the development of creative thinking and visual culture. The effectiveness of using a neural network is not manifested in replacing a person, but in radically accelerating technical processes and expanding creative capabilities. AI does not replace fundamental knowledge, but serves as a powerful amplifier of the intelligence of design and architecture specialists. The results of the study indicate that the use of AI contributes to increasing the speed of project tasks, improving the quality of visualization, and stimulating the individualization of learning. The main challenges and ethical aspects of implementing automated systems in the creative educational process are identified. As for the implementation of artificial intelligence tools in the teaching methodology of Descriptive Geometry, this is a long-term process that involves further development and expansion of the application of AI to other topics
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