The learning science behind LeapLearn
Every interaction pattern, topic archetype, and AI pipeline decision is rooted in decades of cognitive science research — Bloom’s taxonomy, the Feynman technique, spaced retrieval, and desirable difficulties.
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Interaction Patterns
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Topic Archetypes
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AI Pipeline Passes
FSRS
Spaced Repetition
Try a Live Pattern
These are real interaction patterns from inside the app — some are fully interactive right here. Each tab shows the pattern, what the AI evaluates, and when it’s used.
"You've learned it — now prove you can explain it."
Explain compound interest as if teaching a curious friend who has never invested before. No jargon allowed.
Audience: a smart 15-year-old who asks “but why?”What gets evaluated
Used when
The final challenge of every concept. Learners explain in their own words — the Feynman technique. Most powerful consolidation pattern in the system.
31 Interaction Patterns
Every concept gets the right kind of thinking — recall to build hooks, analysis to test understanding, creation to lock in deep fluency. Mapped to Bloom’s taxonomy tiers: Recall → Apply → Create.
Recall
6 patternsBuild mental hooks. Low-friction, recognition-heavy patterns for first exposure.
Match & Connect
Pair terms with their meanings.
Odd One Out
Spot the item that breaks the pattern.
Complete the Analogy
A is to B as C is to ___.
Fill the Gap
Drop the right words into a sentence.
Label the Diagram
Tap the correct label onto each part.
Prior Knowledge
Connect what you already know to anchor new ideas.
Analysis
15 patternsReal understanding, not mimicry. Apply rules, find flaws, predict outcomes.
Predict & Reveal
Guess first, then learn why.
Misconception Trap
"Most people think..." — then the truth.
Transfer & Apply
Use the concept in a brand-new context.
Socratic Dialogue
Guided questions that surface your reasoning.
Sort & Classify
Group items into the right categories.
Estimate First
Slide to a guess before seeing the number.
Sequence Builder
Drag steps into the correct order.
Sequence Order
Restore shuffled steps to the right sequence.
Spot the Difference
Compare two versions and find what changed.
Spot the Error
Find the flaw in reasoning, data, or a process.
Question the AI
Narrow down a hidden concept with yes/no questions.
Hierarchy Build
Assemble a hierarchy — what belongs under what?
Evidence Match
Connect supporting evidence to the right claims.
Area Estimate
Estimate a spatial or quantitative area.
Variable Impact
Change one variable and see how it ripples.
Creation
10 patternsDeep fluency. Teach it back, build a system, defend a position.
Teach Back
Explain it like you're tutoring a friend.
Simulate & Explore
Move sliders and watch outcomes change live.
Sandbox Play
Open-ended exploration. No wrong answers.
Build the System
Assemble components into a working whole.
Take a Side
Pick a position and defend it with reasoning.
Perspective Switch
Same scenario, multiple viewpoints — synthesize.
Draw Your Prediction
Sketch how you think it works, then compare.
Time Traveler
"What if X had gone differently?" — counterfactuals.
Case Study Choice
Make real decisions in a scenario, then see outcomes.
Concept Map
Map how concepts connect to each other in a web.
9 Topic Archetypes
Every topic is classified by the AI into one of 9 archetypes. A procedural topic gets ordering and simulations; a narrative topic gets timelines and perspective switching. The patterns always fit the subject.
Conceptual
Abstract ideas and theories
e.g. "What is gravity?"
Procedural
Step-by-step processes
e.g. "How photosynthesis works"
Systemic
Cause-and-effect systems
e.g. "How interest rates move markets"
Narrative
Stories, history, case studies
e.g. "The fall of Rome"
Linguistic
Vocabulary and language patterns
e.g. "Spanish past tense"
Creative
Open-ended, design-driven topics
e.g. "Color theory in branding"
Kinesthetic
Physical / hands-on processes
e.g. "How to throw a curveball"
Spatial
Diagrams, anatomy, architecture
e.g. "Parts of a cell"
Quantitative
Numbers, magnitudes, statistics
e.g. "How big is a black hole?"
5-Pass AI Content Pipeline
Every topic goes through 5 sequential AI passes before a learner sees it.
Pre-classification
Fast Haiku call — determines tentative archetype, domain, and scope to select the right Pass 1 prompt variant.
Structure extraction
Sonnet extracts 3–7 sub-concepts with titles, summaries, explanations, key facts, misconceptions, and curiosity hooks. Wikipedia/DDG enrichment grounds facts.
Topological sort
Kahn's algorithm reorders concepts so prerequisites come before dependents — guaranteeing a smooth, dependency-aware learning path.
Archetype classification
Sonnet assigns a primary + up to 2 secondary archetypes. Keyword hints from concept text serve as tie-breakers.
Interaction generation
Opus/Sonnet generates 3 interactions per concept (one per Bloom tier) + 1 microCheck + 2 practice MCQs. Depth gate, archetype filter, and grounding scan all run here.