Many secondary students in Nigeria are not in class for the full day. They leave for farm work, market days, family duties, or a long walk home before dark. They are not students who stopped wanting to learn. They are students whose day does not fit the timetable.
When they miss lessons, they fall behind on the curriculum. And there is usually no structured way to catch up. The teacher has moved on. The next topic assumes the last one. The gap does not close on its own. It compounds, term after term, until a student who was capable is simply lost.
This is not a motivation problem and it is not a talent problem. It is an access problem wearing the costume of a performance problem.
What we are designing
AI supported learning labs, inside secondary schools. A student can come to the lab and work through the parts of the curriculum they missed, at their own pace, on the days their schedule allows. The lab meets the student where their time is, instead of asking the student to be somewhere they cannot be.
The learning happens through games. There is a reason for that. Games hold attention. They give immediate feedback. They let a student attempt a topic, get it wrong, and try again without the shame of doing that in front of a class. For a student who is already behind, that last part matters more than people expect.
That is the honest case for using AI here. Not novelty. It is that adapting to thirty separate learning gaps at once is exactly the kind of work a teacher has no time for and a machine is good at.
Access, not replacement
The lab does not replace the teacher or the classroom. Nothing about this works without both. What it adds is a way for students who cannot always be present to keep pace with the ones who can. The classroom stays the centre of learning. The lab is how you stop losing the students at the edges of it.
Built with government, inside real schools
We are developing this with the Ministry of Education and its agencies, to run inside real public secondary schools, co-designed with the teachers who will use it. That is deliberate. A tool that arrives from outside, ignores the people already doing the work, and leaves when the funding ends is a tool that fails. We build the other way. With the people inside, using what fits, handed over to run after we go.
This work is at an early stage. We will publish what we learn as we go, including the parts that do not work. For now the commitment is simple. A student's timetable should not decide whether they get to finish learning.
If you work in education and this is a problem you know well, we want to hear from you →