
Instructor Options
Set clear expectations for AI use in your class and explore the three approaches—open, conditional, and closed—to help you decide how much guidance or limitation makes sense for your course.
Teaching with AI
AI is becoming a helpful companion for thinking, creating, and approaching everyday challenges in new ways. As you use it, you will notice how it nudges your ideas in new directions and naturally blends into your routine.
AI is changing how students learn, create, and solve problems—and instructors have plenty of ways to shape that experience. We pull together practical choices for setting AI guidelines, examples of assignments that actually work, instructor stories, and big picture context to help you feel confident teaching in the context of AI.

Set clear expectations for AI use in your class and explore the three approaches—open, conditional, and closed—to help you decide how much guidance or limitation makes sense for your course.

Generative AI assignments involve matching your goals with what AI should help with, what students must do themselves, and adjusting the activity so it actually works.

Instructors from different schools at Northwestern discuss how they approach AI use in class and offer insights on how to guide students toward thoughtful, responsible use of AI.

Teaching still works in an AI-heavy world when instructors focus on active learning, metacognition, and real-world assessments to keep students thinking for themselves.
Northwestern IT Teaching and Learning Technologies invites applications for Generative AI 101. The introductory program is open to all instructors and aims to enhance foundational digital literacy and inspire continued exploration in generative artificial intelligence (GenAI). Participants will leave with a plan to incorporate generative AI into a course assignment.
The final session for the 2025-26 academic year runs from June 15 to June 29, 2026, and is fully online, with space for 25 to 30 participants. Applications close on April 30, 2026.
