Tools for the work of coordinating what is taught against what is required and what is assessed. Coverage audits, framework crosswalks, KUD (Know/Understand/Do) chart authoring, and developmental band translation. The evidence question for this domain is different from intervention domains: alignment doesn't teach students — it helps the school's teaching reach what it intends to teach. The evidence base is methodological (Webb's Depth of Knowledge, Porter's content-analysis indices, Wiggins & McTighe's backward design, Squires' alignment scholarship) rather than pooled-effect-size; the value of these tools lies in process discipline and audit transparency, not in a per-student Cohen's d.
Verification profile: 4/4 unverified — operational tools, not interventionsUnderlying scholarship: Webb DoK · Porter alignment index · Schmidt/Houang OTL · Wiggins & McTighe UbD · Vygotsky ZPDEEF cross-ref: 0/4 cards — no Toolkit strand fits curriculum-alignment operational workLast 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.
Curriculum-alignment skills are tools, not interventions. "No independent meta-analysis found" for several cards in this domain reflects that the underlying alignment scholarship (Webb, Porter, Wiggins, McTighe, Squires) is methodological — it studies what alignment looks like and how to do it, not pooled student outcomes from using one specific authoring tool. The value of these tools is process discipline and audit transparency for curriculum coordinators.
Curriculum Alignment
Coverage Audit
Take a curriculum framework and a statutory or accreditation requirement list; produce a coverage table, gap summary, and CSV showing which framework content covers each requirement and where gaps exist. The audit itself doesn't teach — it surfaces what is and isn't covered, so the school can decide what to add, drop, or sequence differently. The evidence behind doing this work lives in Opportunity-to-Learn research: Schmidt, Guo & Houang (2021) found in US PISA 2012 mathematics data that OTL's effect on achievement was approximately 4× the effect of socioeconomic status; the TIMSS curriculum analysis tradition (Schmidt & Houang and colleagues across multiple cycles) consistently finds positive associations between coverage and achievement; Squires (2012) reviewed alignment research and reported consistent benefits when written, taught, and tested curriculum align. None of this generates a Cohen's d for the audit itself — the audit is a tool, and the gain materialises only if the school acts on what it reveals.
no EEF strand
no independent meta-analysis found
LowImplementation
Curriculum Alignment
Curriculum Crosswalk
Compare two or more band-tagged curriculum frameworks and produce a framework-neutral topic matrix showing coverage and gaps across all inputs, plus an optional reference-centric Professional Learning Community crosswalk document when a reference framework is supplied. Anchored on the methodological scholarship of curriculum alignment: Webb's Depth of Knowledge (1997, 2007) for cognitive-complexity coding, Porter's alignment index (2002) for the P in [0,1] agreement metric between any two coded curricula, Hess's Cognitive Rigor Matrix (2004–2012) for combining Bloom's revised taxonomy with Webb's DoK, and Anderson & Krathwohl (2001) for the cognitive-process dimensions. These methodological frameworks are how alignment gets measured; the crosswalk applies them. Verification status: shipped unverified because a crosswalk is a methodological tool, not an intervention — the upstream evidence (Schmidt, Guo & Houang 2021's OTL finding, the TIMSS curriculum-coverage tradition) addresses why alignment matters, not what a specific crosswalk procedure produces. Source-voice preservation is built into the methodology: the matrix records each framework's own labels rather than rewriting them.
no EEF strand
no independent meta-analysis found
MediumImplementation
Curriculum Alignment
KUD Chart Author
Author or review Know / Understand / Do (KUD) charts for competency-based learning targets across developmental bands. KUD is the operational tool from Wiggins & McTighe's Understanding by Design framework: distinguish the factual knowledge students should know, the enduring understandings they should grasp (transferable cross-context concepts), and the skills and performances they should be able to do. Handles seven input types from raw curriculum documents to existing learning-target sets; routes to upstream skills when stronger inputs are available. Verification status: shipped unverified. The UbD framework has substantial qualitative research — Yurtseven 2021 meta-synthesis found consistent positives for cognitive growth, engagement, and motivation but documented persistent implementation gaps where teachers stay anchored to activity-based rather than backward design. No quantitative meta-analysis with pooled Cohen's d exists. The discipline of the KUD chart is what it forces: identifying enduring understandings (Wiggins & McTighe 2005) rather than just topical content.
no EEF strand
no independent meta-analysis found
MediumImplementation
Curriculum Alignment
Developmental Band Translator
Tag harness-decomposed curriculum items (KUDs, learning targets, criteria) with a school's developmental-band metadata while preserving source voice and labels. Supply the band schema; the skill derives mapping rules from it rather than imposing external bands. The theoretical anchor is Vygotsky's Zone of Proximal Development — tasks within a learner's ZPD produce growth; tasks below produce coasting and tasks above produce stagnation. The methodological tradition is learning progressions (Heritage 2008, Corcoran, Mosher & Rogat 2009, Taking Science to School National Academies 2007) and Wiggins & McTighe's developmental considerations in Understanding by Design. Verification status: shipped unverified. No meta-analysis quantifies the effect of band-tagging itself; the gain materialises in classroom design downstream — teachers using the band-tagged map to sequence tasks at appropriate difficulty — and that design work is not separable from the broader pedagogical decisions the school makes around it. Source-voice preservation matters: the skill records each item under the school's own band labels rather than reanchoring to an external taxonomy, so the work survives schema migration and accreditation review.
no EEF strand
no independent meta-analysis found
MediumImplementation
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.