AI in Teaching
Practical help for teaching with and about AI — whether you want to keep it out of your course, try it once, or build it in.
You decide how AI fits your course. Northeastern's standards leave that choice to each instructor: no course is required to use AI, and prohibiting it is allowed. This site helps you make the choice, follow the university's rules, and design assignments that match.
What do you need?
Pick the path closest to where you are. Each takes a few minutes to start.
Protect my assignments
Worried students can hand in AI work without learning?
- Run the 30-second check on one assignment
- Pick a fix for that assignment type
- Add an AI policy to your syllabus
Try one small thing
Curious, but not ready to redesign anything?
- Browse One Thing to Try (CATLR)
- See examples from colleagues
- Run a “critique the AI” activity in class
Redesign an assignment
Ready to build AI in, or rethink how you assess?
- Check the rules to know first
- Choose a design in Build AI in
- Request a consult with CATLR, or get an AI Instructional Assistant
Three rules to know before you start
- Don't rely on AI detectors. They're unreliable, and using one needs prior approval from the university's AI Review Committee.
- Using AI to grade essays or other open-ended work needs AI Review Committee review first.
- Keep student and other personal information out of AI tools unless the use has been reviewed. Point students to university-supported tools such as the NU Claude Portal.
All the rules, sample syllabus statements, and assignment labels →
Get hands-on help
You don't have to do this alone. All support options →
See it in action
A starter set we're growing through the year. Browse all examples →
Looking for your discipline? Northeastern's teaching center collects faculty examples from across the university in the CATLR AI Gallery.
Why rethink assessment now?
When an AI tool can complete a take-home task without the student learning anything, the task may be measuring the finished product rather than the thinking behind it. Northeastern's faculty guide Assessment in an AI-Enabled World frames this as a design problem, and design problems are ones we can work on together.
Being “AI-ready” also means more than knowing how to use a chatbot. It means judgment: knowing when a tool helps, checking what it produces, using it ethically, and adding human value on top. Employers, including outside the tech sector, are already asking about these skills in interviews.
and keep it handy.
Print a resource card to share with colleagues (PDF) · Common questions