Memory

Memory is not a fixed trait — it is shaped by how, when, and in what context information is encoded and retrieved. The patterns below translate decades of cognitive science research into concrete design decisions for learning products.

Space practice sessions across time rather than massing them into a single session

This spaced repetition scheduler shows review sessions at expanding intervals — Day 1, Day 3, Day 7, Day 21. Each review resets the forgetting curve before the memory decays too far, producing durable long-term retention with less total study time than cramming.

Require learners to actively retrieve information rather than passively review it

This flashcard interface forces the learner to type an answer before revealing the correct one — retrieval practice rather than passive recognition. The “testing effect” shows that the act of retrieving a memory strengthens it more than re-reading the same material.

Interleave different problem types during practice sessions

The session on the right mixes fractions, geometry, and algebra problems. It feels harder during practice, but research consistently shows interleaved practice produces better discrimination between problem types and stronger long-term retention than blocked practice.

Prompt learners to connect new information to what they already know

This science lesson asks learners to elaborate on a new concept by linking it to prior knowledge, real-world observations, and significance. Elaborative encoding — building meaningful connections rather than rote memorization — produces deeper, more retrievable memory traces.