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Conceptual framework for data-driven decision making in education

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Evidence · 1 claim (1 for) · 1 study (1 design), q1 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A Mathematica-developed framework, commissioned by the Gates Foundation, that organizes how education systems use data for strategic decision making and learning capacity.

Components

  • Conceptual framework for data-driven decision making (DDDM) in education: The article presents a conceptual framework for data-driven decision making (DDDM) in education, developed by Mathematica at the request of the Gates Foundation. It states the framework "aims to provide a comprehensive picture of the DDDM process in education." The framework draws on Mathematica's own evaluations of strategic data use initiatives and on existing education data-use literature. (Brian Gill et al. (2014))

Claims

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Key Sources

  • Brian Gill, Brandon Coffee-Borden, Kristin Hallgren. (2014). A Conceptual Framework for Data-Driven Decision Making. Princeton, NJ: Mathematica Policy Research. https://www.mathematica.org/publications/a-conceptual-framework-for-data-driven-decision-making
Page metadata
Field Value
type product
id conceptual-framework-for-data-driven-decision-making-in-education
title Conceptual framework for data-driven decision making in education
description A Mathematica-developed framework, commissioned by the Gates Foundation, that organizes how education systems use data for strategic decision making and learning capacity.
status review
moved_from theory/dddm-conceptual-framework-education
product_kind framework
generated by process:sweep-kinds on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — brian-gill-2014

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