There is a ritual that plays out in classrooms across Europe every autumn. A new school year begins, a new teacher meets their class, and somewhere in that room sits a child who spent the last twelve months making real progress. They worked through their difficulties with fractions. They finally understood how to structure an argument. They found a way of learning that actually works for them. And then, quietly, all of that disappears. Not because anyone meant to lose it. But because the systems we built for education were never designed to remember.

The invisible cost of starting over

We talk a lot about personalisation in education. Adaptive learning, AI-powered recommendations, data-driven teaching. The ambition is real and the technology exists. But there is a foundational problem that most solutions quietly sidestep: learner data does not travel.

A quiz result lives inside one platform. A teacher’s observation stays in a spreadsheet. When a student moves to a new class or switches to a different tool, the picture built up over months is gone. The next teacher starts from intuition. The AI that was finally learning how this particular child thinks resets completely. The cost shows up as repeated assessments, missed warning signs, and recommendations that take weeks to become relevant again. We have built sophisticated tools on top of a fragile foundation, and we keep wondering why personalisation is harder than it should be.

What actually needs to change

A Personal Learning Record Store (PLRS) is a simple idea with significant consequences. A portable, structured record of a learner’s progress that belongs to the learner, not to any single platform. It travels with them, speaks to different tools in a common language, and means that the next teacher or system does not have to begin with a blank page.

This is what Prof en Poche is building within the Prometheus-X ecosystem, together with Inokufu, Cabrilog, Maskott, and LORIA. Not just an adaptive learning tool, but the infrastructure that makes adaptation meaningful over time. For teachers, it means spending less time figuring out what a student already knows. For EdTech platforms, it means recommendations that compound in quality rather than reset with every transition. For schools, it means seeing patterns across cohorts early enough to act.

A child’s progress belongs to them. It should follow them. A system that forgets what a learner has achieved is not a personalised system. It is just a system that starts over on a schedule.

Prof en Poche is built on Prometheus-X, an open-source infrastructure for European data spaces. If you are working on personalised learning, learning continuity, or interoperable learner data and want to explore collaboration, we would love to hear from you.