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AliceMethod

The research

A synthesis, not an invention.

Nothing in the Alice Method is original science, and that is its strength. Every principle here has decades of research behind it; the contribution is the assembly — turning scattered findings into one operating system a real family can run. These are the shoulders it stands on.

The thinkers

Eight minds behind the method

Richard Feynman

Physics · explanation as a test of understanding

The Feynman technique — explain it simply or you don't understand it — is the engine behind the 'convince me' page, teach-the-parent night, and the method's allergy to unexplained rules. Feynman's deeper gift was temperamental: treating not-knowing as delicious.

George Pólya

Mathematics · How to Solve It (1945)

Pólya's heuristics — understand the problem, find a related problem, solve a simpler case, look back — are the ancestor of the five questions. His insistence that problem-solving is teachable, not innate, is the method's founding assumption.

Jerome Bruner

Psychology · the spiral curriculum

Bruner argued any idea can be taught honestly to any child at some level — which is why calculus concepts appear here at age ten. His enactive → iconic → symbolic progression is exactly the method's physical-first, picture-second, notation-last ordering.

Lev Vygotsky

Psychology · the zone of proximal development

Learning happens in the band between what a child can do alone and what they can do with help. That band is where the parent-coach, the thirty-second pause before helping, and the Socratic AI tutor all operate. Scaffolding — support that is deliberately temporary — is the method's model for rewards too.

Barbara Oakley

Engineering education · Learning How to Learn

Oakley popularized the focused/diffuse mode distinction (why walks solve math problems), chunking, and the evidence against passive re-reading. Her own late conversion from math-phobic to engineering professor is the anti-'math person' argument in biographical form.

Carol Dweck

Psychology · Mindset (2006)

Praise for being smart teaches children to protect the label; praise for process teaches them to seek challenge. The effort-praise protocol, the banned 'not a math person' sentence, and the growth dashboard all descend from Dweck's research program — including its later refinements: mindset moves through practices, not posters.

John Sweller

Educational psychology · cognitive load theory

Working memory is tiny; schemas in long-term memory are the workaround. Sweller explains why fluency drills serve understanding (automatized facts stop consuming working memory), why worked examples beat pure discovery for novices, and why the method automates the layer below before building the layer above.

Daniel Kahneman

Psychology · Thinking, Fast and Slow (2011)

System 1 pattern-matches instantly; System 2 reasons slowly and lazily. Education is largely the project of training System 1's patterns while strengthening System 2's oversight — and Kahneman's catalog of biases is the curriculum for the 'what assumptions changed?' question.

The concepts

Eight findings, and where the method uses them

Retrieval practice

Pulling information out strengthens memory far more than putting it in again (the testing effect — Roediger & Karpicke's 2006 studies are the modern landmark). Implemented as: the Post-it wall, bedtime questions, teach-the-parent night.

Spacing

Practice distributed over time beats identical practice massed together — the most robust effect in learning science, documented since Ebbinghaus (1885). Implemented as: two-minute daily anchors instead of Sunday drills.

Interleaving

Mixing related-but-different problem types outperforms blocked practice, because discrimination — noticing which tool this problem wants — is most of the skill. Implemented as: mixed-topic five-minute games and review sessions.

Constructivism

Learners build knowledge on what they already have; they don't receive it in finished form (Piaget, Vygotsky, Bruner). Implemented as: models before procedures, and 'can you rebuild the formula from scratch?'

Transfer

The hardest, most valuable outcome: using knowledge outside the context where it was learned. Transfer improves with varied contexts and explicit abstraction of structure. Implemented as: math in the wild, and the entire Beyond Math section.

Cognitive load

Instruction fails when working memory overflows. Reduce extraneous load (clean examples, one new thing at a time), automate the prerequisite layer, and difficulty becomes productive instead of crushing. Implemented as: fluency before complexity.

Deliberate practice

Ericsson's finding: improvement comes from effortful practice targeted at specific weaknesses with immediate feedback — not from accumulated hours. Implemented as: the bottleneck hunt and IXL-as-sniper-rifle.

Metacognition

Thinking about thinking — knowing what you know, choosing strategies, monitoring progress — separates strong learners from busy ones. Implemented as: the growth dashboard, the confidence audit, and 'how did you figure that out?'

An honest note on evidence

The cognitive findings above — retrieval, spacing, interleaving, cognitive load — are among the most replicated results in psychology. Other pieces of the method rest on softer ground: mindset effects are real but smaller than the posters suggest; research on sex differences in classroom fit is genuinely contested; and the specific household systems here are engineering built from the science, not experiments with control groups.

We hold it all the way the method itself teaches: as a best current model, run against data (your child's), revised when the evidence says so. As the research section of an evolving body of work, this page will grow — reading lists, study summaries, and eventually research of our own.

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