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Nigeria is developing an AI interface for its education-management system.
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Officials will be able to query government education data using natural language.
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The tool is expected to generate summaries and visualisations from official records.
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Federal and state pilots will test accuracy before wider deployment.
October 22, (THEWILL) – Nigeria is preparing to add an artificial intelligence interface to its national education-data system, allowing officials to query government records in ordinary language instead of relying only on dashboards and manual analysis.
The plan appears in a UNICEF consultancy advertised on October 21 to support the Federal Ministry of Education’s Digital Nigeria Education Management Information System, or DNEMIS, which runs on the DHIS2 platform.
According to the official Terms of Reference, the proposed AI-enabled tool will allow authorised users to ask questions in natural language and receive analysis, summaries and visualisations based on official education data.
It will first be tested through federal- and state-level pilots before refinement and wider deployment.
Nigeria Already Has Data Platform
DNEMIS was introduced to replace a fragmented education-reporting process that relied heavily on paper records and slow annual school census analysis.
DHIS2 says the previous system could take almost two years from data collection to usable analysis, meaning some information was outdated by the time officials received it.
The current system operates across Nigeria’s 36 states, the FCT and 774 local government areas, covering roughly 222,000 schools.
The new AI layer is intended to make that information easier to use rather than create a separate education database.
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What AI Tool Is Expected To Do
UNICEF’s project terms include the development of a natural-language interface that can query DNEMIS data and produce summaries, visualisations and other decision-support outputs.
The broader work also covers education scorecards, performance tracking and digital planning.
That could reduce the time officials spend extracting and interpreting data manually, particularly where users are not technical specialists.
However, the usefulness of the tool will still depend on the quality of the records already inside the system.
AI can make information easier to retrieve, but it cannot correct missing or inaccurate source data by itself.
Accuracy Will Be Tested Before Deployment
The work plan includes design, AI development, integration, pilot testing, refinement, a DHIS2 technical review, capacity building and eventual deployment.
UNICEF also specifies accuracy validation during the pilot phase, which makes testing an important part of the project rather than treating the first version as final.
The 12-month consultancy supporting the work requires extensive experience with national data systems, DHIS2 and AI-enabled solutions.
Applications close on October 28, 2026.
The larger story, however, is the system being built.
Nigeria has spent years trying to make education data more timely and usable. The next step is to see if officials can move from waiting for reports to asking the system directly for the information they need.
If the underlying records are reliable, that could make education planning faster and easier. If they are not, the AI layer will only make weak data quicker to access.
Joy Onuorah is a business journalist and brand communications specialist covering financial markets, artificial intelligence, digital economy, and the ideas reshaping business across Africa and the global market. Beyond her reporting for TheWill, Joy uses brand strategy, storytelling, copywriting, and high-value SEO to help brands build lasting market authority.
