This session explores effective assessment strategies for courses incorporating AI-related activities and assignments. Participants will examine diverse assessment approaches specifically designed for AI-enhanced coursework. Through practical demonstrations and collaborative discussion, you'll discover methods to thoughtfully evaluate AI-assisted student work, develop appropriate rubrics, and design authentic assessments that meaningfully measure learning outcomes in this evolving landscape.
The session showcases real-world examples of successful AI assessment approaches, providing concrete models to adapt for your own teaching context. You'll leave with practical considerations to design, implement, and evaluate AI-related activities while maintaining academic standards and fostering student engagement with these emerging technologies.
This session is only open to Northeastern University students, staff and educators. Please use your Northeastern email when registering.
