Designing for personalized learning: notes from DOGTOR
Personalization isn't about serving more questions — it's about answering: what should I do next?
- Published
- Author
- The SuperB Team
"Personalized learning" is one of the most used phrases in education technology. Building DOGTOR, we found it's also easily misread as "recommend more questions."
Personalization is about the next step
For students, the most important question is usually not "what else can I practise?" but "what should I do right now?" So we centred our design on helping students answer that.
Concepts as a shared language
Questions keep multiplying, but concepts are relatively stable. We organize learning around concepts, so students, parents and the system understand progress in the same language.
| Design area | What we want to avoid | What we aim for |
|---|---|---|
| Practice | Endless drilling without direction | Every question linked to a concept |
| Feedback | Scores alone | Seeing which concept needs work |
| Motivation | Fatigue from repetition | Friendly interaction and friend battles |
| Parents | Only seeing results | Understanding the process and progress |
Gamification isn't decoration
Game-like design can easily become surface-level cuteness. What matters to us is whether it lowers the barrier to starting practice and makes students willing to try again. Friend battles, instant feedback and visible progress exist to support sustained practice.
Always iterating
A personalized product is never "done." We watch real usage to see which designs genuinely help students and which only look useful — and keep adjusting.
