Classroom talk that actually develops thinking — dialogic moves that extend reasoning, discussion protocols that structure participation, Socratic sequences that go deeper, and argument scaffolds that give students a way to reason out loud. All interventions cross-referenced to peer-reviewed meta-analyses where one exists.
Anchor: EEF Oral Language Interventions strand (+6 months) — shared by all 4 cardsWhy no Cohen's d: the dialogic-talk meta-analysis (Tao & Chen 2024) is correlational (r=.25), not a causal effect size, so none is shownVerification profile: 4 verified-partial — robust EEF strand, no causal d-metaLast reviewed: June 2026
How to read these numbers
"Months of progress" is a teacher-friendly shorthand from the EEF Toolkit. It is not directly comparable across studies — different meta-analyses use different baselines, age groups, and outcome measures. Treat it as a magnitude indicator, not a precise prediction.
Cohen's d is the standardised effect size used in the original meta-analyses. d ≈ 0.40 is Hattie's "hinge point" — the average effect of a year of schooling. Higher = larger relative effect, but context matters more than the number.
Effect sizes are averages. A skill that shows large average effects can still produce small or negative effects in a specific classroom. Use these as a starting point for professional judgment, not a substitute for it.
Sources are dated. Where multiple meta-analyses exist, we lead with the most recent quality study and cross-reference EEF where available.
Implementation cost (Low / Medium / High) is a practical signal — not an exact science — of what your school needs to invest in teacher time, training, and structural changes to actually run the intervention well. It is the editorial team's reading of what the intervention typically requires in practice. Use it to gauge whether something is straightforward to introduce or a larger undertaking — not as a budget figure.
Some interventions are also priced in £ (UK) by the EEF Toolkit. For monetary cost data, see the EEF Teaching & Learning Toolkit.
Colour bands signal calibration, not value. An intervention in the "below typical" band is not "bad" — it means the intervention's average effect is below the typical effect of a year of schooling. That can still be appropriate for specific contexts the average does not capture.
Questioning & Discussion
Dialogic Teaching Move Generator
Generate specific dialogic moves — revoice, press for reasoning, build on, challenge, invite uptake — that extend student thinking after they respond, so classroom talk does the cognitive work instead of just confirming the right answer.
+6 monthsEEF Toolkit — Oral language interventions strand2021
no independent meta-analysis found
MediumImplementation
Questioning & Discussion
Discussion Protocol Selector & Facilitation Guide
Pick the right discussion protocol for the purpose — Socratic seminar, fishbowl, Harkness, structured academic controversy, think-pair-share — and configure roles, time, and norms so every student talks for thinking, not just one or two.
+6 monthsEEF Toolkit — Oral language interventions strand2021
no independent meta-analysis found
LowImplementation
Questioning & Discussion
Socratic Questioning Sequence Generator
Generate a Socratic questioning sequence — clarifying, probing assumptions, examining evidence, exploring perspectives, questioning the question — that develops a concept through guided inquiry without telling students the answer.
+6 monthsEEF Toolkit — Oral language interventions strand2021
no independent meta-analysis found
MediumImplementation
Questioning & Discussion
Argument Structure Scaffold Generator
Give students an explicit structure for building an argument — Toulmin (claim, evidence, warrant, rebuttal), PEEL, or CER (claim, evidence, reasoning) — so they have something to lean on when reasoning isn't yet automatic.
+6 monthsEEF Toolkit — Oral language interventions strand2021
no independent meta-analysis found
LowImplementation
Interrogate any educational claim
Heard a claim somewhere else? Type it here — we'll build a prompt you can paste into ChatGPT, Claude, or any chatbot. The prompt asks the model to cite real meta-analyses, separate strong from weak evidence, name boundary conditions, flag exaggerations, and discuss cost-effectiveness.
💡 For best results, enable your chatbot's reasoning / thinking mode before pasting — Claude's "Extended thinking", ChatGPT's "Think" mode, or Gemini's "Thinking" / 2.5 Pro reasoning. The prompt is more demanding than a typical Q&A and benefits from slower deliberation.