Nineteenth International Conference on Design Principles & Practices

Abstract

This study tackles the current state of Artificial Intelligence (AI) education in design schools, identifies gaps and challenges, and aims to propose recommendations for enhancing AI preparedness in Design Higher Education. Our methodology starts with a comprehensive literature review of existing research on AI education in design, focusing on best practices and challenges, and a mixed-methods approach to confront the literature contents with the data obtained. For that, we use a content analysis of top-ranked Design schools to assess the current state of design higher education readiness with AI. Finally, we use interviews with experts who have worked, researched on, or taught AI-related content. The study assesses how Design Higher Education Institutions (HEIs) integrate AI into their curricula to equip students with the necessary skills. The study’s main objectives are to evaluate the current state of AI education in design schools, identify gaps and challenges in AI integration, and develop recommendations for enhancing AI preparedness in design schools. This research is significant as it provides valuable insights for design schools to improve their AI education offerings. By addressing the identified gaps and challenges, design schools can better equip their graduates with the skills and knowledge needed to thrive in the AI-driven design landscape. The findings will inform recommendations for improving AI education in design, ensuring that graduates are well-prepared for the AI-driven design landscape.