As AI reshapes how students approach coursework, instructors are searching for ways to promote authentic learning while minimizing shortcuts that AI provides. This session explores how Auburn University used video responses, peer interviews, and other non-text-based assessments to deepen engagement, highlight student voice, and sidestep the pitfalls of AI-generated writing. We’ll share examples of assignments that encouraged students to tie content to their own lives, build a personal brand, and connect meaningfully with peers through constructive critique and feedback.

Research shows that authentic assessment paired with intrinsic motivation and UDL principles not only strengthens learning but also reduces the likelihood of academic dishonesty. We’ll discuss how fostering genuine student-to-student and student-to-instructor connections makes the work itself more rewarding—encouraging students to invest in the process rather than outsource it. By the end, you’ll have practical ideas for designing activities that both elevate student learning and model ethical AI use while leveraging multi-modal tools to raise barriers to ai outsourcing.

Register: AI vs Authentic Assessment. Can Authentic Assessment Combat AI Use - Harmonize