A plain-numbers look at what PISA 2025 says about Kenya, Rwanda and Zambia, for everyone who pays taxes, packs a lunchbox, or writes a budget.
Numbers don’t blush
Every three years, the world runs the same quiet experiment. In more than eighty education systems, fifteen-year-olds are handed problems they have never seen before and asked one simple question: can you use what you know?
In 2025, Kenya, Rwanda and Zambia volunteered to be measured for the first time. That took a particular kind of courage. It is always easier to keep your results in the family. Instead, three African systems opened the doors, let the world look, and published what it saw.
The scores are sobering. The science of the story, though, is more interesting than the scores. Because buried in the same data is something remarkable about Kenyan students that no one saw coming, and a set of lessons for parents, teachers and policymakers alike.
Let’s start with what the test actually is, because most arguments about PISA are arguments about the wrong thing.
PISA in 60 seconds
PISA (the Programme for International Student Assessment) tests whether fifteen-year-olds can use reading, mathematics and science in unfamiliar, real-world situations. It is not a school-leaving exam. Nobody “passes” PISA, and a score is not a mark out of 100. Think of it less like a report card and more like a fitness test for thinking.
In science, the major domain in 2025 and so the one measured in the greatest depth, students are asked to explain phenomena scientifically, to design and evaluate enquiries and weigh evidence, and to research and use scientific information to make decisions and take action. The framework also looks at environmental understanding, science identity, and students’ sense of agency: do they see science as something they can do, not just sit?
The numbers
| Country | Science | Reading | Maths | Below Level 2 (all three domains) |
| Kenya | 335 | 320 | 326 | 82.1% |
| Zambia | 337 | 325 | 314 | 72.5% |
| Rwanda | 317 | 301 | 312 | 86.5% |
| Morocco | 358 | 321 | 355 | 73.2% |
| Mauritius | 438 | 405 | 407 | 35.1% |
| OECD average | 482 | 461 | 463 | 19.7% |
How to read this table: a PISA score is not a percentage, and Level 2 is not a pass mark. Level 2 is the point at which a student can reliably use scientific ideas and evidence to explain everyday phenomena, interpret information, and make a reasoned judgment: the baseline of functional proficiency. Below it, a student may still climb through the grades and leave school without the tools modern life quietly assumes.
Also Read: KNEC Unveils Guidelines for Students, Schools on PISA Selection and Assessment
Context matters here. Across the OECD, about one in four students fell below Level 2 in science. In eleven participating systems, more than three-quarters did. Kenya, Rwanda and Zambia sit among the systems with the largest shares of low performers, and because science was PISA 2025’s major domain, these science results are the most detailed evidence we have this cycle. They deserve to be read slowly, not scrolled past.

The result is a warning, not a verdict
First-time PISA results are a baseline: a snapshot of where students stood at one moment. They do not, by themselves, explain how the system got there, and they cannot tell us which reform will work. That is worth repeating every time the table above gets quoted.
It also matters who sat the test. PISA does not examine every fifteen-year-old. It samples students who are still enrolled and who meet the assessment’s eligibility rules; in practice, those who have reached around Grade 7 or above. In systems where dropout is high or many students are over-age for their grade, a large share of fifteen-year-olds never enter the picture. In Rwanda, only about one in three fifteen-year-olds (roughly 32%) was eligible to sit the assessment.
So these results describe the learning of students inside the education system, not every young person of that age. PISA is one lens, and a good one, but it must be read alongside enrolment, retention, progression, national assessment and equity data. That is not a reason to dismiss the results. It is a reason to interpret them honestly, which is rather the point of doing them.
What the results reveal
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Foundational learning cannot wait
The most striking figures in the table are not the averages; they are the shares below Level 2. When between seven and nine students in ten cannot reliably apply what they have learned, the problem was not created at fifteen. It was created, quietly, in the first years of primary school, and compounded ever since.
You will sometimes hear the gap described as “seven or eight years of learning behind.” Resist that sentence. It comes from a tempting little conversion, twenty PISA points equals one school year, which sounds precise but is not a safe basis for policy. Educational growth is not that tidy. The defensible message is simpler and, frankly, serious enough: the distance from the OECD average is very large, it was built over many years, and closing it will require action at scale, sustained over time. There is no shortcut, and pretending there is one is how systems waste their money.
This is not solved by adding another high-stakes test at fifteen. It is solved by earlier, sustained support, above all in Grades 1 to 4, where reading and number sense must be made to stick. Catch-up at adolescence is far harder, and far more expensive, than foundations laid early.
- Where a child goes to school matters, enormously
Here is where the data become genuinely useful. In Zambia, family background accounts for nearly 38% of the variation in student performance: a reminder of how hard circumstance pulls on outcomes. But across all three countries, an even more striking pattern appears. A large share of the differences between students is really a difference between schools.
That is quietly hopeful news. Families cannot be reallocated; schools can. If which school a child attends matters more than who their parents are, then equity policy has a lever it can actually pull: direct instructional materials, strong leadership, teacher development and usable data to the schools serving the fewest opportunities, and then check whether learning moves. If it doesn’t move, the money was scenery, not strategy.
- Safety is an academic issue
A student who is worried about being bullied is not doing mathematics; they are doing threat assessment. Large numbers of students in Kenya and Rwanda report experiencing bullying at rates well above the OECD average, and the cognitive cost is real. A child who feels unsafe has less capacity left over for curiosity.
School climate is not a pastoral extra to be addressed after the “real” results improve. It belongs on the same dashboard as attendance, progression and achievement, because it is one of the inputs that produces them.
- Kenya’s resilience is a resource, not a slogan
Now for the finding hiding in plain sight. In Kenya, family background explains just 0.2% of the variation in scores, against 11.6% across the OECD. Only eight points separate richer and poorer students. And more than a quarter of disadvantaged Kenyan students defy the odds to reach the top quarter nationally. On academic resilience, Kenya ranks first in the world.
Let that land. In a system with severe resource constraints, Kenyan students are, statistically speaking, punching through their circumstances at a rate no other measured system matches. The usual story says poverty writes a child’s results in advance. Kenya’s data say: not here, not yet.
The same pattern shows up elsewhere in the data:
- Community learning is already happening. peer tutoring is close to universal. 94% of Kenyan students attend schools that use it, against roughly half across the OECD: a culture of children teaching children that policy could recognise and equip rather than leave to chance.
- Digital ambition is outrunning infrastructure. many Kenyan students already use AI chatbots weekly to support their learning, on par with far wealthier systems, even as schools record the world’s lowest Digital Resources Capacity Index. The demand for digital learning is not the problem; the missing piece is the infrastructure and teacher support that converts enthusiasm into learning. Devices without pedagogy merely reproduce confusion at scale.
- Agency is already there. more than 93% of students in Kenya and Rwanda report taking hands-on action on environmental issues. Under the PISA 2025 framework, that is not a decorative extra. Environmental understanding, science identity and agency are measured outcomes in their own right. These students are not just learning about the future. They are trying to fix it.
The honest caveat: none of this is a reason to romanticise scarcity or to ask children to compensate for a weak system with grit. Resilience is a resource to build on, not a substitute for investment. The right question is how to convert it into stronger learning, and the data suggest some concrete answers below.
What should happen next?
The numbers have done their job: they have ended the argument about whether there is a problem. What remains is the choice of response. Here is ours, divided deliberately by who is holding this article.
For policymakers: sequenced, not scattered
Next two years: protect a serious catch-up effort in literacy and numeracy in Grades 1 to 4; put school-climate indicators into district planning where they cannot be ignored; and pair every digital-infrastructure plan with teacher development and concrete classroom uses. Buy the pedagogy with the tablets.
Also Read: KNEC Announces Training Opportunity for Senior School Teachers: Who Should Apply
Within two to five years: target additional support at the lowest-performing schools; build a structured national approach to peer tutoring, training the students who already do it; and commit to the next PISA cycle, alongside national assessment and education-management data, so this baseline becomes a trend line rather than another isolated headline.
Every year: publish results with clear definitions, honest uncertainty, participation information and equity breakdowns. A complex system cannot be governed by a single rank, and should not be.
For parents: five things that cost nothing
1. Ask “how do you know?” at the dinner table, in the car, anywhere. Curiosity about evidence is the single habit PISA measures best, and it is taught at home before it is taught at school.
2. Protect ten minutes of reading or number play a day, especially in the early grades. Foundations are laid long before any exam.
3. Ask your child about school climate the way you ask about grades. Who feels safe in class? Who doesn’t? A worried child is not a lazy child.
4. Don’t panic over the national averages, and don’t ignore them either. Use them to ask your school good questions, not to frighten your child.
5. Let them tinker. The 45.7% of Kenyan students using AI to learn, and the 93% acting on environmental concerns, were not waiting for permission. Give the same licence at home: tools, questions, and the expectation that they can figure things out.
For teachers: starting Monday
1. Diagnose before reteaching. Give one short task: explain a phenomenon, or weigh two competing claims. Let the answers, not the scheme of work, decide what you teach next.
2. Protect ten minutes for mastery. Revisit one important idea through words, diagrams, data and examples before moving on. Covering the syllabus is not the same as teaching it.
3. Structure the peer tutoring already in your classroom. Clear roles, rotating pairs, one piece of accountable work per pair. You are formalising a strength, not inventing one.
4. Make evidence talk routine. Once a week, students compare two sources, identify what supports each claim, and say which they trust and why.
5. Teach agency, not only answers. Give students regular chances to use science on a local issue, and to propose an evidence-based action. That is the heart of the 2025 framework, and it costs nothing.
The standard we should set
Kenya, Rwanda and Zambia chose transparency when opacity was available. Their first results confirm a serious learning challenge; one built over years and visible now because someone finally measured it properly.
But averages are a coarse instrument, and nobody (no child, no school, no country) is an average. The same data that expose the gaps also reveal the assets: learners who beat their circumstances at world-leading rates, classrooms that teach each other, students reaching for new tools, and young people acting on what they know about the world they will inherit.
The next step is disciplined follow-through: measure carefully, target support at the schools that need it most, give teachers the means to do the work, and return to the evidence cycle after cycle. The students have already shown what is possible.
Now the systems around them must make that possibility easier to realise.
This article was written by Kennedy Kamau, APHRC
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