The Evidence on Teaching

Explore the evidence

4 of 88 decisions · clear everything

Survives the gold standardIndependent, durable, rigorousThe debunked shelfCheap winsFor parents at homeFamous numbers, deflatedWhere we admit ignoranceThe terrain
evidencealldrop DA–BA only
evaluatoranyno dev-ledindependent
durabilityanyfollow-up≥1yr≥2yr
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Your situation · from the applicability layer — absence means “not yet assessed,” never “doesn’t apply”
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Teaching coding teaches coding: the one clean school RCT gives g=0.47-0.68. Which approach you pick barely matters, and almost every effect size rests on an instrument the developers built.

moderate supportconf: mediumgc: low
22/2225/48connected:Does learning to code improve geneTalent and trainability

Does teaching programming actually teach programming — and does the method matter? · computer-science · ages 5–18

Mixing problem types helps where confusion is the enemy — discriminating similar categories, mixed math practice — and is useless or worse for facts and prose.

moderate supportconf: mediumgc: low
7/718/48connected:Spaced (distributed) practiceScience content sequencing

Interleaving (mixing problem types vs blocking) · practice · ages 10–18 · method

Manipulatives help when bland, guided, and aged ~7–11 — a guided-representation effect, not 'hands-on learning.' Rich, toy-like objects hurt transfer.

moderate supportconf: mediumgc: low
3/36/48

Manipulatives and concrete-representational-abstract (CRA) sequences · math · ages 5–14

Near-zero in primary and almost entirely correlational in secondary. The causal base is three small trials; what the homework IS beats how much of it there is.

mixedconf: mediumgc: medium
16/1629/48

Homework — effects by age and by dosage · homework · ages 5–18 · structure

The URL is the state — any view you build here is a permalink you can hand to someone mid-argument.