Publications

Niger has developed an Economic and Social Development Plan (PDES) aligned with the Sustainable Development Goals (SDGs), in particular target 4.1 which aims, by 2030, to ensure that all girls and boys attend, on an equal footing, a full cycle of free, quality primary and secondary education, leading to truly useful learning.

What resources and contextual factors are associated with good school performances in Niger? By merging and analyzing existing administrative datasets in Niger, this report helps to identify positive deviant schools – those that outperform other schools despite sharing similar contexts and resources. 

Data Must Speak – a global initiative implemented since 2014 – aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about ‘what works’, ‘why’ and ‘how’ to scale grassroots solutions for national policymakers and the broader international community of education stakeholders. 

DMS research is currently implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People’s Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia. 

In 2021, Mexico introduced Pasaporte al Aprendizaje, a localized version of the Learning Passport digital learning platform, to mitigate learning loss after widespread school closures due to the COVID-19 pandemic. Between October 2021 and February 2023, almost 100,000 students utilized it for upper-secondary courses.

The research explores the key design and implementation steps undertaken for the successful deployment and use of the Pasaporte al Aprendizaje. In addition, analysis of data from the digital learning platform shows that students assessment scores improved as they progressed through courses, in subjects such as mathematics, Spanish, chemistry and physics. The overall goal of this research is to inform improvements in the Pasaporte al Aprendizaje and provide key lessons learned for other countries implementing national digital learning programmes.

To address the challenges facing its education system, Côte d’Ivoire needs to go beyond a traditional sector analysis and analyse existing data in greater depth to find innovative solutions. To do so, Côte d’Ivoire has requested UNICEF’s support, as part of the global Data Must Speak initiative, to identify positive deviant practices and behaviours.

What resources and contextual factors are associated with good school performances in Côte d’Ivoire? By merging and analyzing existing administrative datasets in Côte d’Ivoire, this report helps to identify positive deviant schools – those that outperform other schools despite sharing similar contexts and resources.

Data Must Speak – a global initiative implemented since 2014 – aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about ‘what works’, ‘why’ and ‘how’ to scale grassroots solutions for national policymakers and the broader international community of education stakeholders.

DMS research is currently implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People’s Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia.

To address the challenges facing its education system, Côte d’Ivoire needs to go beyond a traditional sector analysis and analyse existing data in greater depth to find innovative solutions. To do so, Côte d’Ivoire has requested UNICEF’s support, as part of the global Data Must Speak initiative, to identify positive deviant practices and behaviours.

This policy brief – about the effects of female head teachers and female teachers on boys’ and girls’ education – is part of a series that presents key research findings of the quantitative stage of the Data Must Speak (DMS) Positive Deviance research in Côte d’Ivoire. By merging and analyzing existing administrative datasets in Côte d’Ivoire, this series highlights specific resources and contextual factors associated with good school performances in Côte d’Ivoire. More importantly, it aims to inform policy dialogue and decision-making in Côte d’Ivoire and other interested countries.

Data Must Speak – a global initiative implemented since 2014 – aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about ‘what works’, ‘why’ and ‘how’ to scale grassroots solutions for national policymakers and the broader international community of education stakeholders.

DMS research is currently implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People’s Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia.

To address the challenges facing its education system, Côte d’Ivoire needs to go beyond a traditional sector analysis and analyse existing data in greater depth to find innovative solutions. To do so, Côte d’Ivoire has requested UNICEF’s support, as part of the global Data Must Speak initiative, to identify positive deviant practices and behaviours.

This policy brief – about the importance of school inputs to improving learning – is part of a series that presents key research findings of the quantitative stage of the Data Must Speak (DMS) Positive Deviance research in Côte d’Ivoire. By merging and analyzing existing administrative datasets in Côte d’Ivoire, this series highlights specific resources and contextual factors associated with good school performances in Côte d’Ivoire. More importantly, it aims to inform policy dialogue and decision-making in Côte d’Ivoire and other interested countries.

Data Must Speak – a global initiative implemented since 2014 – aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about ‘what works’, ‘why’ and ‘how’ to scale grassroots solutions for national policymakers and the broader international community of education stakeholders.

DMS research is currently implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People’s Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia.

To address the challenges facing its education system, Côte d’Ivoire needs to go beyond a traditional sector analysis and analyse existing data in greater depth to find innovative solutions. To do so, Côte d’Ivoire has requested UNICEF’s support, as part of the global Data Must Speak initiative, to identify positive deviant practices and behaviours.

This policy brief – about the trends in the CEPE pass rates – is part of a series that presents key research findings of the quantitative stage of the Data Must Speak (DMS) Positive Deviance research in Côte d’Ivoire. By merging and analyzing existing administrative datasets in Côte d’Ivoire, this series highlights specific resources and contextual factors associated with good school performances in Côte d’Ivoire. More importantly, it aims to inform policy dialogue and decision-making in Côte d’Ivoire and other interested countries.

Data Must Speak – a global initiative implemented since 2014 – aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about ‘what works’, ‘why’ and ‘how’ to scale grassroots solutions for national policymakers and the broader international community of education stakeholders.

DMS research is currently implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People’s Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia.

While the Lao People’s Democratic Republic has made steady progress in expanding access to quality education, many children still leave primary school with difficulties in reading and writing for their age. Despite this, there are ‘positive deviant’ schools that outperform other schools located in similar contexts and with an equivalent level of resources.

This report presents important insights from both quantitative and qualitative data on behaviours and practices of a variety of education actors in positive deviant schools in Lao PDR. It also explores existing local solutions and broader evidence emerging from all schools on various education-related challenges.

Data Must Speak – a global initiative implemented since 2014 – aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about ‘what works’, ‘why’ and ‘how’ to scale grassroots solutions for national policymakers and the broader international community of education stakeholders.

DMS research is currently implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People’s Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia.

While the Lao People’s Democratic Republic has made steady progress in expanding access to quality education, many children still leave primary school with difficulties in reading and writing for their age. Despite this, there are ‘positive deviant’ schools that outperform other schools located in similar contexts and with an equivalent level of resources.

This policy brief – about school climate in Lao schools – is part of a series that presents important insights from both quantitative and qualitative data on behaviours and practices of a variety of education actors in positive deviant schools in Lao PDR. It also explores existing local solutions and broader evidence emerging from all schools on various education-related challenges.

Data Must Speak – a global initiative implemented since 2014 – aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about ‘what works’, ‘why’ and ‘how’ to scale grassroots solutions for national policymakers and the broader international community of education stakeholders.

DMS research is currently implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People’s Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia.

While the Lao People’s Democratic Republic has made steady progress in expanding access to quality education, many children still leave primary school with difficulties in reading and writing for their age. Despite this, there are ‘positive deviant’ schools that outperform other schools located in similar contexts and with an equivalent level of resources.

This policy brief – about practices aligned with formative assessment in Lao schools – is part of a series that presents important insights from both quantitative and qualitative data on behaviors and practices of a variety of education actors in positive deviant schools in Lao PDR. It also explores existing local solutions and broader evidence emerging from all schools on various education-related challenges.

Data Must Speak – a global initiative implemented since 2014 – aims to address the evidence gaps to mitigate the learning crisis using existing data. The DMS Positive Deviance research is co-created and co-implemented with Ministries of Education and key partners. DMS research relies on mixed methods and innovative approaches (i.e., positive deviance approach, behavioural sciences, implementation research and scaling science) to generate knowledge and practical lessons about ‘what works’, ‘why’ and ‘how’ to scale grassroots solutions for national policymakers and the broader international community of education stakeholders.

DMS research is currently implemented in 14 countries: Brazil, Burkina Faso, Chad, Cote d'Ivoire, Ethiopia, Ghana, the Lao People’s Democratic Republic, Madagascar, Mali, Nepal, Niger, the United Republic of Tanzania, Togo and Zambia.

Progress towards eliminating child labour stalled for the first time in 20 years from 2016 to 2020. This slowdown puts at risk the international community’s efforts to eliminate child labour by 2025. Action is needed.

Child Work and Child Labour: The impact of educational policies and programmes in low- and middle-income countries is a rapid evidence assessment of the evidence on the effectiveness of educational policies and programmes in addressing child labour in low- and middle-income countries. It focuses on describing the causal impact of schooling programmes and policies on labour outcomes, based on experimental and quasi- experimental studies, and systematic reviews. To the extent information is available within the considered studies, it also identifies and discusses the main pathways and mechanisms of impact, as well as the programme design features that influence programme effectiveness.

Find the accompanying evidence gap map here.