Misconception diagnosis
Real-time detection of why an answer is wrong, not just that it is.
Adaptive Learning
The tutor watches every signal — and changes course.
Four layers run on every interaction: misconception detection, mastery scoring, frustration sensing and pace calibration. No two sessions are the same.
- Adaptive layers
- 4
- Mastery per topic
- Bayesian
- Turns per recalibration
- 3–5
- PaceSlowing
- Hint depth usedTier 2 of 3
- ConfidenceRecovering
- Topic mastery0.71 → 0.73
Decision: switch to visual mode, offer a worked example.
What you get
What makes Adaptive Learning different.
Mastery scoring
Bayesian mastery tracked per topic, per student.
Frustration sensing
Hesitation, hint use and retries tell the tutor when to ease off.
Pace calibration
The pace is recalibrated every three to five turns.
How it works
Three steps to get going.
Observe
Every answer, pause and hint request is a signal.
Decide
The tutor picks the next best move for this student.
Adapt
Mode, difficulty and pace shift to match.
Who it's for
Built for everyone around the learner.
Students
Never bored, never lost — the session meets you where you are.
Teachers
Differentiation for every student, automatically.
Teachers overviewParents
Learning that adjusts to your child, not the average.
Parents overviewFAQ
Common questions.
What does the tutor adapt?
Teaching mode, difficulty, pace and when to offer a worked example.
Is mastery tracked over time?
Yes. Mastery is scored per topic and carries across sessions.
More in Personalize
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