Axe Filles Education System Assessment
Under the FCDO-funded £23 million Accès et Égalité pour l’Éducation des Filles (AXE-Filles) Programme launched in April 2023, CGA Technologies was selected by consortium lead, Save the Children, to conduct an initial assessment of the Democratic Republic of Congo’s (DRC’s) education system. The results of the assessment will be used to align national and sub-national systems and build a data collection and management system to collect teacher, pupil and school information and support evidence-based decision-making.
AXE-Filles is aimed at increasing girls’ access to education in Kasai, one of DRC’s most deprived provinces. It will reach 60,000 children in the region, 60% of whom will be girls, supporting improved access to and the quality of education, tackling barriers to girls continuing in school, such as sexual and gender-based violence.
During the four-month assessment, CGA will:
- Conduct a full review of the Education Management Information System (EMIS), including analysis of the operating environment (institutional capacity; external operating environment) through desk review and key informant interviews;
- Analyse existing operational processes in collecting education data through key informant interviews at HQ/Province level;
- Conduct a technical deep dive review of existing IT systems and education data governance structures and processes.
The assessment will map existing capacity and infrastructure, any gaps to be addressed, opportunities to harmonise disparate systems, and present options for EMIS architecture and design.
CGA will then undertake client consultations with the Ministry of Education and relevant stakeholders to discuss the review’s findings and recommendations, the options for EMIS presented and agree and approach to move forward.
The resulting report and roadmap will provide DRC’s Ministry of Education with a clear direction for aligning national and sub-national systems, structures and processes and build a harmonised data collection and management system to support evidence-based decision-making.