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World Bank Publications - Data for Learning: Building a Smart Education Data System

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World Bank Publications Data for Learning: Building a Smart Education Data System
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Data are a crucial ingredient in any successful education system, but building and sustaining a data system are challenging tasks. Many countries around the world have spent significant resources but still struggle to accomplish a functioning Education Management Information System (EMIS). On the other hand, countries that have created successful systems are harnessing the power of data to improve education outcomes.Increasingly, EMISs are moving away from using data narrowly for counting students and schools. Instead, they use data to drive system-wide innovations, accountability, professionalization, and, most important, quality and learning. This broader use of data also benefits classroom instruction and support at schools. An effective data system ensures that education cycles, from preschool to tertiary, are aligned and that the education system is monitored so it can achieve its ultimate goalproducing graduates able to successfully transition into the labor market and contribute to the overall national economy. Data for Learning: Building a Smart Education Data System and its forthcoming companion volume shed light on challenges in building a data system and provide actionable direction on how to navigate the complex issues associated with education data for better learning outcomes and beyond.Data for Learning details the key ingredients of successful data systems, including tangible examples, common pitfalls, and good practices. It is a resource for policy makers working to craft the vision and strategic road map of an EMIS, as well as a handbook to assist teams and decision makers in avoiding common mistakes. It is designed to provide the how-to? and to guide countries at various stages of EMIS deployment. A forthcoming companion volume will focus on digging deeper into the practical applications of education data systems by various user groups in different settings.

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Environmental Benefits Statement

The World Bank Group is committed to reducing its environmental footprint. In support of this commitment, the Publishing and Knowledge Division leverages electronic publishing options and print-on-demand technology, which is located in regional hubs worldwide. Together, these initiatives enable print runs to be lowered and shipping distances decreased, resulting in reduced paper consumption, chemical use, greenhouse gas emissions, and waste.

The Publishing and Knowledge Division follows the recommended standards for paper use set by the Green Press Initiative. Whenever possible, books are printed on 50 percent to 100 percent postconsumer recycled paper, and at least 50 percent of the fiber in our book paper is either unbleached or bleached using Totally Chlorine Free (TCF), Processed Chlorine Free (PCF), or Enhanced Elemental Chlorine Free (EECF) processes.

More information about the Banks environmental philosophy can be found at http://crinfo.worldbank.org/wbcrinfo/node/4.

DIRECTIONS IN DEVELOPMENT Human Development Data for Learning Building a - photo 1

DIRECTIONS IN DEVELOPMENT

Human Development

Data for Learning

Building a Smart Education Data System

Husein Abdul-Hamid

2017 International Bank for Reconstruction and Development The World Bank - photo 2

2017 International Bank for Reconstruction and Development / The World Bank

1818 H Street NW, Washington, DC 20433

Telephone: 202-473-1000; Internet: www.worldbank.org

Some rights reserved

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This work is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries.

Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are specifically reserved.

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This work is available under the Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO) http://creativecommons.org/licenses/by/3.0/igo. Under the Creative Commons Attribution license, you are free to copy, distribute, transmit, and adapt this work, including for commercial purposes, under the following conditions:

AttributionPlease cite the work as follows: Abdul-Hamid, Husein. 2017. Data for Learning: Building a Smart Education Data System. Directions in Development. Washington, DC: World Bank. doi:10.1596/978-1-4648-1099-2. License: Creative Commons Attribution CC BY 3.0 IGO

TranslationsIf you create a translation of this work, please add the following disclaimer along with the attribution: This translation was not created by The World Bank and should not be considered an official World Bank translation. The World Bank shall not be liable for any content or error in this translation.

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All queries on rights and licenses should be addressed to World Bank Publications, The World Bank Group, 1818 H Street NW, Washington, DC 20433, USA; e-mail: .

ISBN (paper): 978-1-4648-1099-2

ISBN (electronic): 978-1-4648-1100-5

DOI: 10.1596/978-1-4648-1099-2

Cover photo: Pixabay, www.pixabay.com.

Cover design: Debra Naylor, Naylor Design, Inc.

Library of Congress Cataloging-in-Publication Data has been requested.

Contents

Foreword

Preface

Acknowledgments

About the Author

Abbreviations

Executive Summary

Reference

Chapter 1

What Is an Education Management Information System, and Who Uses It?

Key Takeaways

Definition

What Does a Data System Look Like?

Beneficiaries of a Data System

Note

References

Chapter 2

Value of Data: Better Data, Better Education

Key Takeaways

Education Data Improve Learning

The Value of Data to Strengthen the Whole System

Data Guide Policy Makers and Ensure Efficient Resource Allocation and Management

Data Help Schools, Teachers, and the Community to Improve Learning

Note

References

Chapter 3

Understanding Where You Are Today: Assessing the Current State of Education Management Information Systems

Key Takeaways

Characteristics of a Successful Data System

The Country-Specific Context Matters

The Need to Benchmark: Standards and Assessment Methodology

Lessons Learned from Two Decades of World Bank EMIS Activities

Using Results-Based Financing as a Structured Approach for Assessment and Development of EMIS

Note

References

Chapter 4

How to Design and Implement Routine Data Collection from Schools

Key Takeaways

A School Census Provides an Aggregate Snapshot of the Education Sector

Creating an Effective School Census Process

Collecting and Verifying Data in the School Census

Effective Use of School Census Data

Country Examples of School Census Efforts

References

Chapter 5

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