AI-Powered Analytics Offer New Pathways for Evaluating Multiscale Design Work

As design education outgrows traditional critique-based assessment, this article explores how AI-driven analytics—specifically scale and cluster detection—can provide instructors with deeper, faster insight into students’ multiscale design organization, complementing existing dashboards and addressing gaps in human-led evaluation.