Learner intelligence
Adaptive modeWelcome back 👋
Oracle is learning how you learn.
LearnLoop continuously updates your learner model from answers, reasoning, confidence, and intervention outcomes.
Oracle insight
Let's discover what you know.
Give me one answer. I'll use it to start building your learner model.
Avg mastery
0%
Across assessed concepts
Confidence
0%
Self-reported confidence
Concepts
Concepts assessed
Evidence
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Learning attempts recorded
Adaptive learning path
Your learning state
The path changes when LearnLoop finds new evidence.
Diagnose
Establish what you currently know.
Detect
Identify misconceptions and confidence gaps.
Intervene
Select the next explanation or practice Adaptive strategy.
Reassess
Check what changed after the intervention.
Adapt
Update the learner model for what comes next.
Your next step
Why this next?
LearnLoop does not follow a fixed lesson sequence. Your next step changes based on what you know, where you're uncertain, and the evidence from your latest attempt.
Mastery signal
0% average mastery
Confidence signal
0% self-reported confidence
Adaptive principle
Intervention changes when misconception evidence persists.
Concept snapshot
Where your learner model stands
0 of 0 concepts assessed
Your learner model is ready.
Start a learning session to create your first evidence point.
Adaptive sequence
Your learning path
LearnLoop prioritizes concepts using the evidence in your learner model rather than following a fixed lesson sequence.
No concepts available yet.
Add learning concepts to build the adaptive path.
Learner intelligence
Learner Twin
Avg mastery
0%
Confidence
0%
Concepts
0
Attempts
0
Learner state
No active misconception has been recorded yet. Start a diagnostic to let LearnLoop build your learner model.
Recommended now
Today's learning
Your learning path is waiting
Choose your first concept to create your learner model.
Learner intelligence
Learning analytics
A live view of the learner model built from your recorded mastery, confidence, attempts, and misconception evidence.
Avg mastery
0%
Across assessed concepts
Confidence
0%
Self-reported confidence
Evidence
0
Recorded learning attempts
Watchlist
0
Active misconceptions
Your learner model is ready
Complete a diagnostic session to start building evidence about mastery, confidence, and misconceptions.
Knowledge space
Explore concepts
LearnLoop adapts the learning path around what you understand, what you miss, and how confidently you reason.
Why LearnLoop?
Same concept. Different learner. Different path.
LearnLoop does not simply answer questions. It maintains an explicit learner model and uses evidence from each attempt to determine what should happen next.
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Diagnose
02
Adapt
03
Reassess
Controlled evaluation
Judge demo controls
These controls seed different initial learner states. The answer and reasoning still drive the diagnosis.
Selected state: Fresh learner