Data for Learning : Building a Smart Education Data System

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 ot...

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Bibliographic Details
Main Author: Abdul-Hamid, Husein
Format: Book
Language:English
en_US
Published: Washington, DC: World Bank 2017
Subjects:
Online Access:http://hdl.handle.net/10986/28336
id okr-10986-28336
recordtype oai_dc
spelling okr-10986-283362021-04-23T14:04:48Z Data for Learning : Building a Smart Education Data System Abdul-Hamid, Husein DATA SYSTEM UNIQUE IDENTIFIER OPEN SOURCE LEARNING LONGITUDINAL DATA ANALYTICS DATA QUALITY EMIS CENSUS SYSTEM SUSTAINABILITY 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 goal—producing 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. 2017-09-19T14:48:44Z 2017-09-19T14:48:44Z 2017-09-19 Book 978-1-4648-1099-2 http://hdl.handle.net/10986/28336 English en_US Directions in Development—Human Development; CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Washington, DC: World Bank Publications & Research Publications & Research :: Publication
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic DATA
SYSTEM
UNIQUE IDENTIFIER
OPEN SOURCE
LEARNING
LONGITUDINAL
DATA ANALYTICS
DATA QUALITY
EMIS
CENSUS
SYSTEM SUSTAINABILITY
spellingShingle DATA
SYSTEM
UNIQUE IDENTIFIER
OPEN SOURCE
LEARNING
LONGITUDINAL
DATA ANALYTICS
DATA QUALITY
EMIS
CENSUS
SYSTEM SUSTAINABILITY
Abdul-Hamid, Husein
Data for Learning : Building a Smart Education Data System
relation Directions in Development—Human Development;
description 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 goal—producing 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.
format Book
author Abdul-Hamid, Husein
author_facet Abdul-Hamid, Husein
author_sort Abdul-Hamid, Husein
title Data for Learning : Building a Smart Education Data System
title_short Data for Learning : Building a Smart Education Data System
title_full Data for Learning : Building a Smart Education Data System
title_fullStr Data for Learning : Building a Smart Education Data System
title_full_unstemmed Data for Learning : Building a Smart Education Data System
title_sort data for learning : building a smart education data system
publisher Washington, DC: World Bank
publishDate 2017
url http://hdl.handle.net/10986/28336
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