Academic integrity is shaped more by course design than by surveillance. Students cut corners most when stakes are high, time is short, and the task feels disconnected from learning. You can lower that pressure: break large assignments into stages, allow drafts, space deadlines, and connect work to specific course context so a generic or purchased answer does not fit.

These moves make honest work the easier path and reduce the temptation in the first place. They also improve learning, which is the point. For the specific case of AI, see KSARN’s AI literacy course, which develops the same redesign approach in depth.