Abstract
This research was conducted to obtain students' views on the evaluation of artificial intelligence (AI)-supported design applications in art and design education using the fuzzy logic method. It aims to provide a new perspective for educators in identifying real learning situations and deficiencies in art and design education. The study utilized the DALL-E AI tool developed by OpenAI in design projects assigned to students in a basic art education course. The research took place during the autumn semester of the 2024-2025 academic year with 21 first-year students from the Visual Communication Department at the Faculty of Art and Design of a university located in western Turkey, all of whom participated voluntarily. A semi-structured interview, a qualitative research method, was employed as the data collection model. The interview questions were validated and analyzed using MAXQDA qualitative data analysis software, with an inter-coder agreement of 97.32%. The findings indicated that evaluating students' work with fuzzy logic increased their creativity, positively influenced their motivation towards the course, proved to be a more reliable evaluation method compared to traditional approaches, and enhanced their self-efficacy by improving their technological skills.