ThinkTrace AI shows a teacher how their whole class is confused, diagnoses why each individual student is confused, and keeps teaching until the misconception is demonstrably gone.
The demo opens a live classroom on the sample lesson — accuracy, precision, recall and class imbalance.
Most tools measure whether an answer was submitted and whether it was right. ThinkTrace measures why it was wrong, which prerequisite caused it, whether the same reasoning error shows up elsewhere, and whether it has actually disappeared.
How the class is confused
Every written answer is grouped by the kind of reasoning behind it, not by which option was ticked.
Why this student is confused
The specific belief that produced the answer, with the counterexample that breaks it.
What is actually missing
The shortest path back through the concept graph — five minutes, not a whole chapter.
Does the error repeat?
Ask one question. Instead of percentages, you get the groups of reasoning inside the room: who has the definition wrong, who is missing a prerequisite, who can compute but cannot choose. With a two-minute intervention and a counterexample ready to use.
You don’t have to know what you’re confused about. Write what you thought, and ConceptLens names the belief behind it, shows why it fails, finds the missing prerequisite, and builds practice around your particular reasoning error.
The cycle only closes when a student explains the concept in their own words and the evaluation confirms the original misconception is gone — not when they watch a video or get one multiple-choice question right.
Practice built around the reasoning pattern, in contexts the student has never seen.
Has it actually gone?
The loop closes only when the student can explain it — not when a video finishes.