How to Estimate Heterogeneous Learning Losses due to School Closures: An Application Using PISA data in Türkiye

26 Pages Posted: 5 Oct 2023

See all articles by Nazli Aktakke

Nazli Aktakke

Development Analytics

Meltem A. Aran

Development Analytics

Emre Uckardesler

UNICEF Türkiye

Pinar Kolancali

University of Oxford - Department of Education

Zehra Sena Kibar

Development Analytics

Hazal Çolak Öz

Development Analytics

Date Written: October 4, 2023

Abstract

This study aims to estimate the potential learning setbacks resulting from COVID-19-induced school closures in Türkiye. It introduces a methodology designed to assess the varying impact of these closures on learning outcomes using existing pre-pandemic learning data. Using PISA 2018 dataset, we simulate post-closure learning outcomes for 15-year-olds while factoring in the diverse home learning environments of children. Within the Turkish context, our simulations reveal that more significant learning losses are likely to have affected students with lower initial scores, those residing in smaller cities or villages, and those attending specific school types. Importantly, this methodology for simulating learning losses exhibits potential applicability to 79 countries with accessible PISA datasets. It holds promise as a valuable tool for estimating learning losses during potential future school closures or lockdowns.

Keywords: Learning loss, COVID-19, micro-simulation, home learning environment

JEL Classification: I21, I24, C53, C6

Suggested Citation

Aktakke, Nazli and Aran, Meltem A. and Uckardesler, Emre and Kolancali, Pinar and Kibar, Zehra Sena and Çolak Öz, Hazal, How to Estimate Heterogeneous Learning Losses due to School Closures: An Application Using PISA data in Türkiye (October 4, 2023). Available at SSRN: https://ssrn.com/abstract=4592198 or http://dx.doi.org/10.2139/ssrn.4592198

Nazli Aktakke (Contact Author)

Development Analytics ( email )

31 Mektep Sokak
Emirgan Sariyer
Istanbul, Istanbul 34467
Turkey

Meltem A. Aran

Development Analytics ( email )

9 Marlborough Court
Oxford, Oxford OX2 0QT
United Kingdom

HOME PAGE: http://www.developmentanalytics.org

Emre Uckardesler

UNICEF Türkiye

Ankara
Turkey

Pinar Kolancali

University of Oxford - Department of Education ( email )

United Kingdom

Zehra Sena Kibar

Development Analytics ( email )

31 Mektep Sokak
Emirgan Sariyer
Istanbul, Istanbul 34467
Turkey

Hazal Çolak Öz

Development Analytics ( email )

31 Mektep Sokak
Emirgan Sariyer
Istanbul, Istanbul 34467
Turkey

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