How are Northwestern students actually navigating AI in their learning—and what does that mean for teaching? In this panel, undergraduate and graduate students share candid perspectives on how AI shows up in their coursework, decision‑making, and sense of academic integrity. Through concrete examples and reflection, panelists explore when AI supports learning, when it complicates it, and what clarity, trust, and assignment design matter most from an instructor’s point of view. Moderator: Anna Luce, Lead Learning Engineer Student panelists: Melanie Medina, Trinity Barnett, Gracie Shaw-Rothberg, and Mohamed Ibrahim.
