Methods · Generative practice & retrieval

B10

Spaced schedule design

Build a revisit schedule from your forgetting, not from a generic calendar template, so review shows up when memory actually needs it.

When to use this
Before you start studying
Learning impact
Highest-leverage move
Learning evidence
Strong research tradition
Where you are with the topic
Strengthening memory
How often to use it
Build and keep as a habit
What AI is doing (1)Create practice, examples, or schedules
What AI is doing (2)Remember your plan across days

When to use it

  • You are about to start a new unit and want a plan before you open the textbook.
  • You keep meaning to revise, but nothing on your calendar says when.
  • Last Sunday you crammed a whole chapter, and by Wednesday it already feels slippery.
  • Your flashcard app pings you on a generic schedule that ignores what you actually miss.

What to ask AI

Type something like: “Help me design a spacing schedule. Here are items and my last outcomes (pass/fail/confidence/date). Propose next due dates with a one-line reason each. I will edit before accepting.”

Ask it to generate retrieval cues for what is due, not answers.

Feed it real outcomes over time so intervals can shrink after fails and stretch after easy passes.

How it helps

Spacing works. Most students know the slogan and still cram on Sunday.

The missing piece is a schedule tied to what you actually forgot, not a pretty calendar.

A fixed “review in 1-3-7 days” beats nothing. A plan that expands after easy retrieval and shrinks after failure beats the fixed template.

Without your pass/fail data, the AI is only decorating dates.

How to run it

  1. Break what you will space into small items or skills, not whole chapters as one blob.
  2. Set an initial schedule from your first successful retrievals.
  3. On each due date, retrieve first, then log pass/fail and confidence.
  4. Ask the AI to propose next dates from that log; you approve before anything locks.
  5. On busy days, protect due items with five minutes of retrieval rather than skipping and resetting.
  6. Cull items that stay easy at long intervals; keep a light maintenance cue.

Example exchange

You

Can you help me design a spacing schedule? I will give you items and how I did last time, and I want to approve any dates before they lock in.

AI

Send each item with the last date, whether you passed or failed, and your confidence. I will propose next due dates only, you edit before anything is fixed.

You

Chain rule with composite trig: I failed yesterday and felt shaky. Photosynthesis light reactions: easy pass three days ago.

AI

Proposal: revisit chain rule tomorrow, short interval after a fail. Light reactions in five days, stretching the gap after an easy pass. Change anything you disagree with before you accept.

Copyable prompt

Help me design a spacing schedule. Here are items and my last outcomes
(pass/fail/confidence/date): [ ]. Propose next due dates with intervals.
Explain each adjustment in one line. I will edit before accepting.

The Tell

A beautiful schedule you never retrieve against, you only re-read when the calendar pings.

In that moment the plan did the organising, and you practised recognition on schedule.

On the next due date, close the notes, retrieve first, and only then let the AI suggest the following interval.

Principle evidence

Strength of the underlying learning idea, not a claim about AI products.

Spaced practice, spreading study across days instead of cramming, is a classic, strong effect in memory research. Building intervals from your own success and failure is applied spacing, not a different theory.

AI delivery evidence

Whether an AI tutor delivers this method well is a separate question.

There is no strong evidence that an AI’s proposed intervals are optimal for you. The benefit rests on the spacing principle and on whether you actually feed it honest results and then retrieve when due.

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