AI-Powered Accessibility Design Education for Visual Communication Students

Abstract

This study investigates the integration of AI-powered tools into accessibility design education for visual communication students. The aim is to assess how AI can enhance students' understanding of accessibility principles, improve the quality of their design work, and increase engagement with the learning process. The study involved a curriculum incorporating AI tools to evaluate key accessibility factors such as contrast ratios, readability, and screen reader compatibility. Pretest and posttest assessments, design project evaluations, and student surveys were used to measure knowledge improvement, design quality, and engagement. The results indicate a significant 32.7% improvement in students' knowledge of accessibility principles and a 24.8-point increase in design accessibility scores. Additionally, student engagement significantly improved, reflecting high satisfaction with the AI tools. Regression analysis revealed a positive correlation between the time spent using AI tools and the improvement in design quality. These findings suggest that AI-powered tools can effectively support the development of accessibility skills in design education, providing students with real-time feedback and fostering a more interactive and inclusive learning experience. This study contributes to the growing body of research on the application of AI in design education and highlights the potential of AI tools to transform accessibility education. The findings underscore the importance of preparing future designers to create more accessible and inclusive digital content, with AI playing a pivotal role in this process.