| 来源类型 | Publication |
| A Conceptual Framework for Data-Driven Decision Making | |
| Brian Gill; Brandon Coffee-Borden; and Kristin Hallgren | |
| 发表日期 | 2014-06-02 |
| 出版者 | Princeton, NJ: Mathematica Policy Research |
| 出版年 | 2014 |
| 语种 | 英语 |
| 概述 | The Bill \u0026 Melinda Gates Foundation, which has funded four initiatives promoting strategic use of data at the state and district levels, requested that Mathematica develop a conceptual framework for data-driven decision making (DDDM) based upon knowledge generated from Mathematica’s evaluation of the strategic data use initiatives and from existing literature on data use in education.", |
| 摘要 | The Bill & Melinda Gates Foundation, which has funded four initiatives promoting strategic use of data at the state and district levels, requested that Mathematica develop a conceptual framework for data-driven decision making (DDDM) based upon knowledge generated from Mathematica’s evaluation of the strategic data use initiatives and from existing literature on data use in education. The framework, encompassed in this document as two key figures, aims to provide a comprehensive picture of the DDDM process in education. Separately, we also include an annotated bibliography of the literature we used to inform the framework. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/a-conceptual-framework-for-data-driven-decision-making |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/487748 |
| 推荐引用方式 GB/T 7714 | Brian Gill,Brandon Coffee-Borden,and Kristin Hallgren. A Conceptual Framework for Data-Driven Decision Making. 2014. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Framework_data-drive（622KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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