Teaching students whose home language is not the language of instruction — the design moves that keep cognitive demand high while making the language accessible. Vocabulary tiering, sentence frames, language-demand analysis, sheltered-instruction protocols, and scaffolded task modification. Built on the Cummins BICS/CALP distinction, Echevarria/Vogt/Short's SIOP model, and Beck/McKeown/Kucan's tiered vocabulary work. Editorial note: the EAL implementation literature is heavy on conceptual scholarship and developer-led evaluations, light on independent meta-analyses for specific techniques — so most cards anchor on the broader EEF Oral language interventions umbrella rather than on isolated effect sizes.
EEF anchor: 5/5 cards — Oral language interventions strand (+6 months, high evidence security, 154 studies)Direct meta-analysis: 1/5 (Vocabulary Tiering — Cervetti et al. 2023, d=0.08)Last reviewed: May 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.
EAL & Language Development
Academic Language Sentence Frame Generator
Generate tiered sentence frames that let EAL students participate in academic discourse before they have fully independent academic language. Frames are scaffolds, not scripts: they expose the syntax and discourse markers of a subject, then fade as students take them over.
+6 monthsEEF Toolkit — Oral language interventions strand2021
no independent meta-analysis found
LowImplementation
EAL & Language Development
Language Demand Analyser
Audit a classroom task through Cummins' BICS/CALP lens before students hit it — what vocabulary, syntax, discourse moves, and background knowledge the task assumes, and where EAL or multilingual learners will hit a barrier that is linguistic rather than cognitive. Use as a planning step that feeds into scaffolding decisions (sentence frames, vocabulary pre-teaching, task modification).
+6 monthsEEF Toolkit — Oral language interventions strand2021
no independent meta-analysis found
LowImplementation
EAL & Language Development
Scaffolded Task Modifier
Modify an existing classroom task so EAL learners can access it without losing the cognitive demand — the Walqui/Gibbons "high challenge, high support" principle. Add language scaffolds (frames, glossaries, visuals, oral rehearsal) that reduce the linguistic load while preserving the thinking the task was designed to require.
+6 monthsEEF Toolkit — Oral language interventions strand2021
no independent meta-analysis found
MediumImplementation
EAL & Language Development
Sheltered Instruction Lesson Modifier
Plan a lesson using the SIOP (Sheltered Instruction Observation Protocol) framework — explicit content and language objectives, comprehensible input, structured interaction, building background, and review/assessment — so EAL learners get content and language taught together rather than content gated behind language.
+6 monthsEEF Toolkit — Oral language interventions strand2021
no independent meta-analysis found
HighImplementation
EAL & Language Development
Vocabulary Tiering Tool
Sort the vocabulary of a text into Beck, McKeown & Kucan's tiers — Tier 1 (everyday words students already have), Tier 2 (high-frequency academic words that bridge disciplines: "analyse", "sustain", "argument"), Tier 3 (discipline-specific technical terms) — so limited vocabulary-teaching time gets spent on the words most likely to transfer across the curriculum.
+6 monthsEEF Toolkit — Oral language interventions strand2021
d = 0.08Cervetti, Fitzgerald, Hiebert & Hebert, Reading Psychology2023
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.