Building a Stronger Education Evidence System

A cross-sector group of researchers and evaluators working to strengthen how education evidence is generated, interpreted, and used.

Who we are

Network Expertise

Our members bring expertise in research methods, evaluation, policy, R&D, technology, and evidence use.

1

Methods and Design

Causal inference, research design, statistical power in field settings, effect heterogeneity, and generalizability: methodological approaches for understanding what works, for whom, and under what conditions.

2

EdTech, AI, and Evidence

Research on how EdTech and AI-enabled tools are developed, implemented, and evaluated in schools, including how to generate credible evidence as products change and distinguish product metrics from evidence of educational impact.

3

Evaluation and Evidence Standards

Large-scale evaluations, evidence synthesis, and the development and application of standards for judging the credibility and relevance of education research.

4

Evidence Use in Systems

Procurement and contracting, cost and cost-effectiveness, and how organizational and implementation constraints shape the evidence education systems need and can use.

Context

Why This Work Now

Education research has always been produced through multiple channels, but the landscape of federal support for education R&D is changing. As funding, priorities, and institutional roles shift, more evidence may be generated and used through a more decentralized set of channels and on faster cycles. Education leaders need guidance for their own settings and student groups. Yet even rigorous studies estimate effects for particular populations, settings, and conditions, leaving an important question about whether and how those findings apply elsewhere.

AI and education technology compound these challenges. Products change quickly, platforms generate abundant metrics that are easy to misinterpret, and measures of use or performance can be mistaken for evidence of educational impact. Researchers and education leaders need to distinguish among the questions different forms of evidence can answer.

Featured Work

Our Reports

Necessary but Not Sufficient: Six Design Principles for a Stronger Education R&D System

Report 1

Necessary but Not Sufficient: Six Design Principles for a Stronger Education R&D System

Six design principles for a stronger education R&D system. The report focuses on the public functions needed to produce evidence that remains credible, cumulative, and useful across decisions, settings, and time.

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Evaluating Causal Evidence in Education: A Practical Guide

Report 2

Evaluating Causal Evidence in Education: A Practical Guide

Ten principles for assessing whether evidence is strong enough, relevant enough, and complete enough to inform a decision. The guide focuses on the questions leaders should ask before adopting, piloting, or scaling a program.

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