Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial

Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial

Across many low- and middle-income countries, a sizable share of young people drop out of school before completing a full course of basic education. Early warning systems that accurately identify students at risk of dropout and support them with ta...

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Bibliographic Details
Main Authors: Haimovich, Francisco, Vazquez, Emmanuel, Adelman, Melissa
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2021
Subjects:
SCHOOL DROPOUT
SCHOOL MANAGEMENT
EDUCATION MANAGEMENT INFORMATION SYSTEM
SECONDARY EDUCATION
Online Access:http://documents.worldbank.org/curated/en/983591622568486300/Scalable-Early-Warning-Systems-for-School-Dropout-Prevention-Evidence-from-a-4-000-School-Randomized-Controlled-Trial
http://hdl.handle.net/10986/35722

Internet

http://documents.worldbank.org/curated/en/983591622568486300/Scalable-Early-Warning-Systems-for-School-Dropout-Prevention-Evidence-from-a-4-000-School-Randomized-Controlled-Trial
http://hdl.handle.net/10986/35722

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