The rapid introduction of generative AI into classrooms is more than a passing trend—it’s reshaping how we assess student learning. This session explores how AI challenges traditional assessment methods and offers strategies to adapt in this new landscape. We’ll discuss issues such as the effectiveness of AI detectors, the ethical implications of AI-assisted work, and the shift from adversarial assessments to relational and metacognitive approaches. Participants will leave with practical ideas on integrating AI tools into their assessment practices in ways that enhance learning, foster equity, and promote critical thinking. Let’s collaborate to shape a balanced, ethical approach to assessment that prepares students for success in an AI-driven world.
