Spaced Repetition, Ebbinghaus Forgetting Curve, Leitner Boxes & FSRS Scheduling
Master Spaced Repetition, Ebbinghaus Forgetting Curve, Leitner Boxes & FSRS Scheduling with 32 active-recall flashcards covering core definitions, equations, mechanisms, and high-yield problem solving.
- Level
- basic
- Languages
- en → en
- Cards
- 32
- Markdown
- Spaced Repetition, Ebbinghaus Forgetting Curve, Leitner Boxes & FSRS Scheduling (.md)
Flashcards (32)
| # | Front (Term / Question) | Back (Definition / Answer) | Example | Multiple-Choice Options |
|---|---|---|---|---|
| 1 | Which simple exponential gives R(S) = 90%? | R(t) = 0.9^(t/S), for S > 0. This is an exponential illustration, not the FSRS-6 forgetting curve. | ||
| 2 | How is relearning savings calculated? | For comparable learning times T₀ and T₁, savings = 100 × (T₀ − T₁)/T₀, with T₀ > 0. It is not a recall probability. T₀ is the initial learning time and T₁ the relearning time to the same criterion. | ||
| 3 | How should you handle a repeatedly forgotten card? | Check understanding, ambiguous wording and missing context; simplify, split or suspend the card when appropriate. | ||
| 4 | How do Anki's Again and Hard ratings differ? | Again means recall failed. Hard means the answer was recalled correctly but with difficulty. | ||
| 5 | Is an FSRS forgetting curve a universal biological law? | No. It is a predictive model fitted to review data; its accuracy depends on the data and learning conditions. | ||
| 6 | What is retrievability R in FSRS? | The model's estimated probability of recalling a particular card now, given the learner's review history. | ||
| 7 | What does the spacing effect compare? | Learning spread across separate occasions with learning concentrated together. Benefits depend on the task and test delay. | ||
| 8 | What usually happens when desired retention is increased? | Intervals shorten and review workload increases. Choose a target that fits your goals and available time. | ||
| 9 | Do paper cards become impossible above a fixed deck size? | No. Digital tools automate scheduling and tracking, but there is no universal card-count cutoff for paper systems. | ||
| 10 | What does FSRS difficulty D describe? | A model estimate of how difficult it is to strengthen the card's memory through review, not its current recall probability. | ||
| 11 | Is a leech always a card missed four times? | No. Software uses configurable lapse thresholds; the threshold is a scheduling rule, not a law of memory. | ||
| 12 | What does FSRS do after a lapse? | It updates its memory estimates using the rating and prior state; a failed review does not literally erase a memory. | ||
| 13 | Are FSRS states direct measurements of brain processes? | No. They are estimates from behavior, not measurements of synapses, brain regions or molecular mechanisms. | ||
| 14 | How do equal and expanding spacing differ? | Equal spacing uses constant gaps; expanding spacing lengthens successive gaps. Neither schedule is universally best. | ||
| 15 | What intervals does original SM-2 use after successful repetitions? | Initially 1 day, then 6 days; later intervals multiply the previous interval by EF and round up to whole days. | ||
| 16 | How did Ebbinghaus study forgetting? | He learned lists and measured how much effort was saved when relearning them after different delays. | ||
| 17 | Does daily review volume always equal ten times new cards? | No. It depends on learning history, difficulty, retention settings, lapses and the number of new cards. | ||
| 18 | What forgetting curve does FSRS-6 use? | R(t) = (1 + k·t/S)^(−d), where d = w₂₀ > 0 and k = 0.9^(−1/d) − 1. Thus R(S) = 0.9. Here t is time since the last review, in the same units as S. | ||
| 19 | Why use short learning steps for new cards? | They provide early practice and feedback. Same-day success does not replace checking recall after a longer delay. | ||
| 20 | Why is R(t) = e^(−t/S) inconsistent with FSRS's definition of S? | At t = S it gives e^(−1) ≈ 36.8%, not 90%. The parameter has a different meaning in that exponential. | ||
| 21 | Does a long review interval imply permanent memory? | No. Knowledge can still be forgotten or become outdated; check recall and application when needed. | ||
| 22 | What does a Leitner box represent? | A group of cards with a particular review frequency, rather than a precise measurement of memory. | ||
| 23 | How do the interstudy interval and retention interval differ? | The interstudy interval separates study sessions; the retention interval separates the last study session from the final test. | ||
| 24 | What is stability S in FSRS? | The modeled interval for recall probability to fall to 90%. This definition does not change with the chosen retention target. | ||
| 25 | If SM-2's EF reaches 1.3, is it stuck there? | No. The minimum is 1.3, but a grade of 5 increases EF by 0.1; a grade of 4 leaves it unchanged. | ||
| 26 | What does desired retention mean in an FSRS scheduler? | The target predicted recall probability when a card is scheduled for review, not an exam pass mark. | ||
| 27 | Why is there no universal optimal study gap? | The useful gap depends on the material, learner and delay until the final test; longer gaps are not always better. | ||
| 28 | What is EF in original SM-2? | An interval multiplier called the easiness factor. It starts at 2.5 and has a lower bound of 1.3. | ||
| 29 | What is a practical response to a review backlog? | Reduce new material temporarily, prioritize important content and plan a sustainable amount of review time. | ||
| 30 | Why grade recall attempts consistently? | Scheduling estimates use the review history. Mislabeling failed recall as success gives the model misleading evidence. | ||
| 31 | Must a Leitner system use five boxes and doubling intervals? | No. Box counts and schedules vary; specify the rules and apply them consistently. | ||
| 32 | What happens after a wrong answer in a Leitner system? | The card moves to a more frequent review group according to the chosen rules, often the first box. |