Program: Model Schools
Dates: 10/29/2026
As artificial intelligence becomes increasingly accessible to students, educators are facing an important question: If AI can generate an answer, what should we actually be assessing? This timely, practical session helps teachers rethink assessment in ways that preserve rigor, deepen learning, and prioritize what matters most-student thinking.
Rather than approaching AI as something to block or fear, participants will explore how assessment practices can evolve in a world where students have access to powerful digital tools. The focus shifts from evaluating final products alone to measuring reasoning, process, communication, creativity, and application of knowledge.
Teachers will examine how AI is changing traditional assignments and explore strategies for creating authentic, meaningful, and AI-resilient assessments. Topics include designing tasks that emphasize analysis, interpretation, reflection, and real-world problem-solving; incorporating performance-based assessments such as debates, presentations, simulations, and demonstrations of learning; assessing process alongside product through drafts, checkpoints, reflection, and verbal reasoning; and establishing practical expectations for when AI use is appropriate and when independent thinking is essential.
A key component of the session is hands-on redesign work. Participants will bring an existing assessment and use a guided framework to revise it for the age of AI, receiving feedback and collaboration along the way.
By the end of the session, teachers will better understand AI's impact on assessment, identify characteristics of future-ready assessments, and leave with at least one revised assessment ready for classroom implementation.