Have you ever wondered whether established assessment principles still work in the age of AI? Would you like to assess whether AI use leads to deep learning or merely the appearance of understanding among your engineering students? Are you looking for ways to assess students’ learning when they use AI? Would you like to know what level of AI use to permit so that students develop AI literacy while meeting your course learning outcomes? How can you guide cognitive offloading, the delegation of some thinking tasks to AI, so that it supports students’ learning rather than undermines it?

If these questions resonate with you, join us for the Artificial Intelligence, Assignment and Assessment workshop to explore how to:

• Examine how established assessment principles apply when students use AI. 
• Design assignments and assessments that distinguish deep understanding from superficial performance. 
• Evaluate AI permissions based on how well they support both AI literacy and course learning outcomes. 
• Develop strategies to guide cognitive offloading so that it supports and not undermine learning.