LectureIQ operates across the full teaching lifecycle — before, during, and after every lecture — building a continuously improving picture of comprehension for every stakeholder.
Click any stage to explore what happens at each step.
At the end of class, a full 8–10 question quiz is generated and launched. Questions are distributed across every topic covered today, at three cognitive levels, with distractors drawn from related course material. Students join via room code — no app needed.
The comprehension engine feeds three distinct insight layers — each tailored to the decisions that stakeholder actually needs to make.
Every student sees their own comprehension breakdown immediately after submitting the quiz. Which topics you got, which you didn't, how the class performed overall, and — crucially — which gaps the professor will address next session. No waiting for a grade.
The instructor sees a full comprehension map within minutes of class ending — topic-by-topic scores, cognitive level breakdowns, and trends across sessions. Topics that consistently drop signal a structural teaching gap, not a one-off bad session.
Aggregated across courses and instructors, LectureIQ surfaces the patterns that no single professor can see alone. Which concepts struggle department-wide? Which courses are improving? Where is intervention needed before it shows up in exam failure rates?
Every question is grounded in what was actually said in your lecture, framed using your course materials, with distractors drawn from related content your students have seen. The difference in quality is immediately apparent.
Get up and running in a day. We host, maintain, and scale the infrastructure. FERPA-compatible data handling with SOC 2 compliance in progress.
Deploy on your institution's servers. Student data never leaves your network. Bring your own AI credentials, or run a local model.
One setup session. Works with slides you already have. No new tools for students.