Education in Emergencies: Evidence for Action: Niger Year 2, 2017-2019

DOI

Children in crisis-affected countries (CACs) experience profound constraints on their academic learning and socioemotional well-being. The 3EA initiative (Education in Emergencies: Evidence for Action) leveraged research-practice partnership between Global TIES for Children at New York University (NYU-TIES) and International Rescue Committee (IRC) and aimed to build both scientific and practical knowledge about how to lift these constraints on children in three CACs: Lebanon, Niger, and Sierra Leone. The present dataset is part of the 3EA initiative and contains data from a large cluster-randomized controlled trial (CRCT) conducted in 2017-2018 school year, evaluating the impacts of a social-emotional learning program (Brain Games) embedded within an after-school remedial education programming on students’ academic and social-emotional outcomes. This dataset includes the data collected from Nigerien local and Nigerian refugee children attending the 28 public schools located in Diffa region, Niger.Children in conflict-affected countries (CACs) experience profound constraints on their academic learning and socioemotional well-being. Children exposed to violence and poverty come to "school" (formal or non-formal education settings) with poor executive function skills (e.g. working memory, inhibition, attention), emotional/behavioral regulation skills and social-information-processing skills. And the formal and non-formal "schools" they attend rarely use effective strategies to advance their academic and socioemotional skills. What can be done? This project aims to develop both scientific and practical knowledge about how to lift these constraints on children in CACs like Niger. First, we propose to adapt and test novel, low-cost, targeted interventions (LCTs) like Mindfulness (MI) and Brain Games (BG) designed to improve children's executive function, emotional/behavioral regulation and social information-processing skills and, subsequently, their literacy and numeracy skills and socioemotional well-being. Second, even when interventions like MI and BG work, they often work better for some children, in some classrooms and schools, and under some conditions than for others. So this study will examine whether variability in the quality of implementation (e.g. dosage, fidelity) of MI and BG results in the variability in their impacts on children's learning and development in Niger. Third and finally, these types of complex interactions among students, teachers, "schools" and program interventions (like remedial support programs) are embedded in larger systems and broader contexts that may constrain or enable quality implementation of program strategies (such as MI and BG). But there is very little high-quality, rigorous research, grounded in social and systems theories, available in CACs to understand how these higher-level systems influence the dynamic interactions of schools, programs, classrooms, teachers and students. So we will conduct a theory-building qualitative study embedded in the school cluster-randomized field test of MI and BG and their implementation. Through this project, we hope to (a) achieve a dynamic, multi-level understanding of efforts to improve learning processes and outcomes for refugee, IDP, and local children in Niger and other CACs; (b) contribute to the synthesis of the developmental, educational, prevention and social sciences in theory and method; and (c) have a catalytic effect on the education in emergencies sector by identifying effective, scalable strategies that improve children's learning and development.

Data was collected from Nigerien local and Nigerian refugee children attending the 28 public schools located in Diffa region, Niger. All data collected for the screening test were conducted via one-on-one assessment by trained teachers of the students' schools; all other student-level data were collected via one-on-one verbal interview with trained enumerators using tablet-based survey, performance-based assessments, and scenario-based assessments; teacher data collection was conducted via paper-and-pencil survey; administrative data, including student and teacher attendance and school characteristics were reported by the head teachers. This dataset contains data from Year 2 of the multi-year CRCTs. All participating schools in Year 2 also participated in similar remedial education and SEL programming in Year 1. In Year 1, a total of 30 Nigerien public schools were recruited from a list of 75 potential sites located in the towns of Diffa and Maine-Soroa. The following criteria were utilized for school selection: (1) security clearance (2) distance from NGO Office <40km (3) sufficient numbers of teachers (more than eight teachers per school) and students (more than 120 students enrolled per school) (4) serves a minimum of three primary grades (some schools did not serve the full range of elementary grade levels). Selected schools were likely more “urban” than their counterparts, given proximity restrictions, as well as larger. Security ratings were highly-correlated with proximity to business districts, where NGO offices were located. These 30 schools were matched on school and student compositional characteristics using administrative data collected from school directors and screening test results on children in grades 2 through 4. One school per pair is randomized to the control condition, and one school to the treatment condition. In the Year 2, same treatment condition will be maintained; however, one pair of schools dropped out for Year 2 evaluation due to security concerns, reducing the school sample to j=28. At student level, all children in grade 2 through 4, regardless of prior year program assignment status, were assessed again to evaluate eligibility. Students with low French literacy and numeracy performance on screening tests) were eligible for tutoring. Because the number of eligible children exceeded the capacity of the tutoring services are oversubscribed, eligible students were randomized to the program.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-854332
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=e2b65a65fcb74b54f3b0dbcf21b8f94df93500c42c5c9f7c4362593c645c659c
Provenance
Creator Aber, J, New York University; Brown, L, New York University; Dolan, C, New York University; Kim, H, New York University; Annan, J, International Rescue Committee
Publisher UK Data Service
Publication Year 2021
Funding Reference Economic and Social Research Council
Rights John Lawrence Aber, New York University. Lindsay Brown, New York University. Carly Tubbs Dolan, New York University. Ha Yeon Kim, New York University; The Data Collection is available from an external repository. Access is available via Related Resources.
OpenAccess true
Representation
Language English
Resource Type Numeric; Text
Discipline Social Sciences
Spatial Coverage Niger