When Marc Watkins walks into his writing and rhetoric classroom at the University of Mississippi, he doesn’t ban AI outright—nor does he hand it over freely. Instead, he asks his students: Why are we using this tool, and when does it help or hinder learning? That spirit of intentional inquiry now guides a national conversation, crystallized in The Norton Guide to AI-Aware Teaching, a new resource co-authored by Watkins, Annette Vee of the University of Pittsburgh, and Derek Bruff from the University of Virginia’s Center for Teaching Excellence. Set for digital release in July 2026 and in print by September, the guide arrives at a pivotal moment: 33% of college students at major public universities now use AI regularly, yet only 9% admit to using it to cheat, according to a recent Science journal study. The gap between perception and reality has fueled panic, bans, and confusion—problems the guide aims to resolve with clarity, not condemnation.
For too long, the response to AI in education has been binary—embrace or ban. But the authors argue for a more thoughtful path. The guide doesn’t prescribe one approach; instead, it equips faculty with strategies to align AI use with their teaching values and course goals. Whether an instructor wants to integrate AI for brainstorming, prohibit it during assessments, or build assignments that teach students how to use it ethically, the book offers tested models from real classrooms. Vee emphasizes that students aren’t just cheating—they’re using AI to summarize lectures, generate study guides, and even support accessibility needs. A student with dyslexia might use AI to transcribe and simplify complex readings; another might turn a recorded lecture into flashcards. “When we paint all AI use as cheating, it paints any student who uses it in a negative light,” Vee warns.
The guide places heavy emphasis on discernment—a word repeated throughout its pages. Students need to learn not just how to use AI, but when not to. The authors stress that even instructors who choose not to use AI should explain their reasoning clearly, so students understand the pedagogical intent. Watkins notes the tension faculty feel: frustration at Silicon Valley’s uninvited disruption, concern over potential skill erosion, and pressure to prepare students for AI-driven workplaces. “We’re not trying to be AI cheerleaders,” he says, “but students do need to learn about AI, warts and all.”
Ultimately, the guide calls for transparency and consistency. If AI is allowed, students should disclose it. If it’s banned, the rationale must be clear. Arbitrary enforcement risks mass academic misconduct cases born not of dishonesty, but confusion. With AI embedded in everyday devices, the conversation can no longer be avoided. This guide doesn’t have all the answers—but it gives educators the tools to start asking the right questions.