Every teacher has run the experiment without meaning to. You teach two classes the same content, the same way, on the same day. Weeks later, one group remembers it and the other has lost it. The difference is rarely ability. More often it is relevance — whether the material connected to something the students already knew and cared about, or floated free with nothing to anchor it.
Relevance is not a motivational nicety. It is closer to the mechanics of how memory works. If we want students to remember what we teach, it helps to understand why some lessons take root and others wash away.
Memory is built on what is already there
We do not store new information on blank shelves. We attach it to existing networks of related knowledge — what psychologists call schemas. The richer and more activated the relevant network, the more places a new idea can attach, and the more retrieval routes lead back to it later. A lesson that connects to a student’s existing interests is, quite literally, giving the new knowledge more handholds.
Forgetting is often not a storage failure. It is a retrieval failure — the memory is there, but there is no path back to it. Relevance builds the paths.
Emotion is memory’s highlighter
We remember what we feel something about. Content tied to a topic a student loves carries a small emotional charge, and that charge tells the brain this is worth keeping. It is why a child can recite every detail of their favourite game and forget last week’s spelling list. The game was relevant and felt important; the list was neither.
Effortful, meaningful practice lasts
Relevance also changes the quality of practice. When students care about the context, they engage with the task more deeply — they ask why, they predict, they connect. That deeper processing is exactly the kind that produces durable memory. Skimming a generic worksheet produces a shallow trace that fades. Wrestling with a problem you care about produces one that holds.
What this looks like in practice
- Open a topic by activating what students already know about a related interest before introducing the new idea.
- Choose examples from students’ worlds so the new concept attaches to a network that is already rich.
- Ask students to explain a new idea back in terms of something they love — the translation deepens the memory.
- Revisit the same concept later through a different interest to build multiple retrieval routes.
Designing for relevance, lesson after lesson, is the hard part — it means knowing each student’s world and rebuilding your examples around it. Sprout does that legwork: give it the concept and the interest and it generates a lesson already anchored to something the student cares about, so relevance — and the retention that follows — is built in from the first slide rather than hoped for.