This report explores the possibilities of applying artificial intelligence (AI) in visual arts education for prospective teachers by assisting them in the process of describing and analysing works of art and their transformation into a didactic resource. The study presents a series of educational activities designed to engage prospective teachers in the interpretation and pedagogical adaptation of works of art. Participants were tasked with describing selected paintings both independently and with the help of AI tools, which allowed for a comparative analysis of descriptive depth, accuracy, and interpretive richness. Based on these insights, the trainees developed art-based educational activities for children, including storytelling prompts, thematic discussions, and hands-on creative exercises. Participants also created contour drawings of the selected works of art to support subsequent tasks focused on children’s actors related to different color interpretations, collage, and storytelling on visual supports. The findings suggest that AI-assisted interpretation can enrich the educational process by expanding visual literacy, encouraging critical thinking, and supporting the design of age-appropriate art activities for younger students. Thus, integrating AI into arts education holds promise for cultivating reflective, resourceful, and technologically literate future educators. The research methods used in this study include educational experiments, visual analysis, and comparative analysis of educational resources created by students based on their knowledge, skills, and abilities, as well as those developed with the help of artificial intelligence (AI).

The results indicate that initial negative attitudes towards the use of AI in the context of visual arts education can be overcome. This positive change is associated with improvements in skills such as visual analysis, artistic interpretation, and the ability to transform paintings into effective learning resources.

In conclusion, the results show that AI-assisted interpretation can enhance the educational process by expanding visual literacy, promoting critical thinking, and aiding the design of developmentally appropriate art activities for younger students. Thus, integrating AI into arts education holds promise for cultivating reflective, resourceful, and technologically competent future educators.

Keywords: Visual art, education, creativity, AI-generated images, teacher training, visual analysis.