Loading
Loading
Displaced Student Learning Data Cannot Follow Learners Across Borders
When a student flees from South Sudan to Uganda to Kenya, their learning progress, grade level, language proficiency, and psychosocial needs are assessed de novo at each transition. No interoperable data system links humanitarian education providers, host-country Education Management Information Systems (EMIS), or cross-border data. Parallel data systems exist in most crisis-affected countries — humanitarian actors collect data in their own formats while national EMIS either excludes refugees entirely or cannot disaggregate by protection status. Students are routinely placed 2–3 grade levels below actual competence when language barriers mask content knowledge.
Over 12 million school-aged refugees are displaced, with 46% out of school. Those who do access education lose continuity at every border crossing. Repeated re-assessment wastes instructional time and demoralizes students. Policymakers cannot measure educational outcomes for displaced populations because the data lives in disconnected silos — UNESCO, UNHCR, and ECW all report this as a critical barrier to improving refugee education.
Some countries (Burkina Faso, Ecuador, Ethiopia) have worked to integrate refugee data into national EMIS, but each implementation uses different data schemas, assessment instruments, and student identifiers. UNHCR's proGres registration tracks demographics but not educational achievement. Education Cannot Wait (ECW) has funded EMIS strengthening in crisis contexts with non-standardized implementations. UNESCO's IIEP has mapped the fragmentation and called for interoperability standards, but no agreed-upon data exchange standard for crisis education exists. The Global Education Evidence Advisory Panel notes "data on the educational outcomes of forcibly displaced children remain very limited."
A portable learner record standard designed for crisis/displacement contexts that captures competency levels (not just grade completion), is language-agnostic in its assessment data, uses privacy-preserving identifiers that work across borders without creating surveillance risk, and functions offline. Piloting interoperable assessment-linked records across even 2–3 refugee-hosting countries (e.g., the South Sudan–Uganda–Kenya corridor) would demonstrate feasibility.
A team could design a portable learner record schema for one education level (e.g., primary mathematics) that captures competency levels rather than grade labels and test it with educators in two host-country contexts to verify that the schema captures meaningful learning information. Alternatively, a team could prototype a privacy-preserving student identifier system using pseudonymous tokens. Education data architecture, assessment design, and privacy engineering skills apply.
The fundamental problem is that no data standard was designed for the displacement context — existing EMIS were built for stable, single-country populations. This is a data architecture problem, not a technology gap — the technical components (offline databases, pseudonymous identifiers, competency-based assessment) exist but have never been assembled for humanitarian education. Distinct from `education-refugee-credential-verification` (which covers verification of prior credentials when institutions are destroyed) and `education-skills-taxonomy-interoperability` (which covers workforce skills matching for employed adults).
UNESCO — Education in emergencies and the key role of crisis-sensitive information systems; UNHCR — Counting what matters: examining refugee inclusion in national education data systems, https://www.unesco.org/en/articles/education-emergencies-key-role-crisis-sensitive-information-systems, accessed 2026-02-24