Yes — paste your course outline into Claude or ChatGPT and ask it to identify where students are most likely to feel overloaded or confused, then place review sessions at those exact points.
Why Review Sessions Get Skipped
Most educators know review sessions are a good idea. They also know they never have enough time, so review is usually the first thing that gets cut when a module runs long. The result is courses where students are always pushing forward but never consolidating what they’ve already learned — like filling a bucket with a hole in it.
AI doesn’t solve the time problem directly, but it does help you make smarter decisions about where review actually matters versus where it’s optional. Not every lesson needs a review session. Some concepts are so foundational that students need to pause and revisit them before moving on. Others are straightforward enough that a brief recap in the next lesson is sufficient.
How to Use AI to Find the Right Spots
Give Claude your full course outline and ask: “Which lessons introduce concepts that are prerequisites for everything that follows? Where would a student who missed something in Week 2 start to struggle in Week 4?” The answer gives you a prioritized list of where to embed review.
You can also ask AI to help you design the review itself. Ask ChatGPT: “Give me a 10-minute review activity for a live Zoom session that helps students consolidate their understanding of [concept] before we move to [next topic].” You’ll get options — pair shares, quick polls, lightning recaps, community discussion prompts — that you can drop straight into your session plan. For asynchronous courses, AI can suggest self-check questions students complete before unlocking the next module.
What This Means for Educators
In a live cohort or community-based program, review sessions serve a second purpose beyond consolidation — they create space for students who fell behind to catch up without embarrassment. A well-designed review session signals to the group: “It’s okay if this didn’t fully land yet. We’re going to make sure everyone’s ready before we move on.” That psychological safety is one of the reasons community-led learning gets higher completion rates than self-paced video libraries.
The Bottom Line
AI is good at pattern-matching across your course structure and flagging the spots where complexity spikes, where concepts stack on each other quickly, or where the gap between lessons is large. Those are your review session locations. Use AI to find them, design them, and script them — then protect them when you’re tempted to skip them for time. The students who thank you most at the end of your course will be the ones who didn’t get left behind at Week 3.