Analysis of Girls’ Education Challenge Transition Window (GEC-T) baseline data
Client: Foreign Commonwealth and Development Office
Duration: 2019
Geography: Multi-country
Partners: Oxford Policy Management
Solutions: Assessment, Research
The Girls Education Challenge is the UK’s flagship girls’ education programme, which aims to transform the lives of the world’s most marginalised girls through quality education and learning. The first phase of the GEC (2012 - 2017) aimed to provide quality education for over a million marginalised girls, to empower them to secure a better future for themselves, their families and their communities. The GEC is now in its second phase, working through 41 projects in 17 countries. The GEC-Transition Phase II (GEC-T) projects are supporting GEC beneficiaries from Phase I to complete primary school, transition to secondary education, and progress on to technical vocational training or employment.
Oxford MeasurEd and Oxford Policy Management were commissioned to analyse the baseline data of 27 GEC-T projects. This analysis focused on understanding who the GEC-T girls are, what their learning levels are, and what factors predict their learning levels. The results of this analysis led to three separate reports. The first covered the demographic and socio-economic characteristics of GEC-T girls. The second investigated the perceived sense of safety of GEC-T girls in and on the way to school, while the final looked at learning levels and predictors of learning in GEC-T girls. In 2020, a follow up to this analysis was presented to FCDO, looking at how this evidence could be used to make decisions to support girls’ learning within the context of COVID-19 related school closures.
Key Activities:
Development of a merged global database, based on 27 project-level GEC databases
Key Informant Interviews with GEC programme implementation personnel
Mixed methods analysis of project data on indicators of perceived safety in and on the way to school
Creation of minimum proficiency benchmarks in reading and mathematics
Analysis of data on learning levels using project-specific benchmarks
Analysis of demographic and socio-economic data on GEC-T girls
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