Analyse méthodologique pour la recherche Data Must Speak
Enseignements tirés de l’approche modèle positive, des sciences comportementales, de la recherche sur la mise en oeuvre et de la science de la mise à l’échelle
Publication series:
Innocenti Research Report
No. of pages: 88
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Abstract
La pandémie a aggravé une crise de l'apprentissage et mis en péril les objectifs mondiaux. Et pourtant, même dans les contextes éducatifs les plus difficiles, certaines écoles obtiennent de meilleurs résultats que d'autres, situées dans des contextes similaires et avec un niveau de ressources équivalent. Pourquoi ces écoles exceptionnelles, connues sous le nom d'écoles "modèles positives", obtiennent-elles de meilleurs résultats en matière d'apprentissage, de rétention, d'équité et d'égalité des sexes ?
Data Must Speak (DMS) - une initiative mondiale mise en œuvre depuis 2014 - vise à combler les lacunes en matière de preuves tangibles pour atténuer la crise de l'apprentissage en utilisant les données existantes. Le volet recherche de DMS est cocréé avec les ministères de l'éducation. Il s'appuie sur des méthodes mixtes pour générer des connaissances, parallèlement à des enseignements pratiques sur ce qui fonctionne, pourquoi et comment mettre à l'échelle des solutions de terrain pour les décideurs politiques nationaux et la communauté internationale dans le domaine de l'éducation.
La recherche utilise des approches innovantes et complémentaires telles que l’approche modèle positive, des sciences comportementales, de la recherche sur la mise en œuvre et de la science de la mise à l'échelle pour identifier et mettre à l'échelle les comportements et les pratiques des écoles "modèles positives". Cette revue méthodologique présente les définitions, concepts et méthodologies clés de ces approches afin de guider et d'informer le développement et la mise en œuvre de la recherche DMS au niveau national. En s'appuyant sur des exemples existants tirés de la recherche sur l'éducation et d'autres domaines, cet revue propose également les meilleures pratiques et les leçons tirées de ces approches qui peuvent être utilisées comme référence commune et langage standard pour leurs applications futures.
La recherche DMS est actuellement mise en oeuvre dans 14 pays: Brésil, Burkina Faso, Tchad, Côte d'Ivoire, Éthiopie, Ghana, Laos, Madagascar, Mali, Népal, Niger, Tanzanie, Togo et Zambie. Elle est cofinancé par KIX (CRDI/GPE), la Fondation Jacobs, la Fondation Hewlett, NORAD, Schools2030, et les resources internes de l'UNICEF.
Tags
More in this series: Data Must Speak
Publication
Data Must Speak: Unpacking Factors Influencing School Performance
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.
Publication
Data Must Speak: The effects of female head teachers and female teachers on boys’ and girls’ education
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.
Publication
Data Must Speak: The importance of school inputs to improving learning
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.
Publication
Data Must Speak: Comprendre les Facteurs de Performance Des Écoles Maliennes