Integration of Generative Artificial Intelligence in Design Education: Evidence Review (2020–2024)

Generative technologies are reshaping creative industries and design workflows.This transformation is rapidly reaching undergraduate, studio-based design programs but the empirical picture remains fragmented with inconsistent reporting.A formal synthesis of the emerging evidence is essential to map its course and support informed decision-making.This evidence review maps how generative AI (GenAI) is being integrated into undergraduate and studio-based design education, synthesizing classroom practices, enabling and constraining conditions, pedagogical framings, and directions for future research.As GenAI tools enter art and design programs at pace, evidence remains fragmented across contexts and methods; consolidating it can guide practice, streamline integration, and help set a focused research agenda for design education.We conducted a PRISMA-ScR-aligned evidence mapping of empirical studies published 2020-2024.Systematic searches in Web of Science and Scopus identified studies of GenAI in design-education settings that reported learner, process, or artefact outcomes.After screening, we charted context, use case, and outcomes and produced a narrative synthesis; given the heterogeneity of designs and measures, we did not conduct a formal risk-of-bias assessment.The review contributes a design-education-specific evidence map, classifying GenAI use cases, cataloguing adoption enablers and barriers, and outlining a practical agenda for assessment and study design.Findings show GenAI is being