In previous posts (Improving FSRS for List Memorization and its revision, Extending Cloze Deletion for Sequential Item Rating), I proposed a method in which users review all items of a list on the same cloze note, with each cloze being a different item. These individual ratings are then combined to compute a single interval, which is applied to the entire list.
This new proposal does not replace the previous one, instead it offers an additional implementation based on the same underlying principles. The key difference is that here the interval is computed so that the average retrievability of the clozes—rather than the product of their retrievabilities, as in the earlier proposal—matches the desired retention. As a result, the calculated intervals will be longer and the retrievability of individual items lower.
The structure of this note is similar to a standard cloze note, and could follow this workflow:
Field 1(question): the user attempts to recall all clozes
Field 2 (text with hidden clozes): the user reveals cloze 1 → rates → reveals cloze 2 → rates → … → the algorithm computes a single interval and applies it to the whole cloze note
I propose to use the average retrievability because this approach is intended for notes with multiple clozes where it’s acceptable not to recall every item correctly at the same time, but where the user still prefers to review them together.
This is particularly useful for exam modalities that ask broad questions (e.g. “explain the pathophysiology of heart failure”) and that reward fluent recall of multiple related concepts. It also fits situations where several pieces of information form a natural chunk, making it more effective and more realistic to recall them together rather than splitting them into separate cards.
ADVANTAGES:
-better simulates broad exam questions
-minimizes context and interference
-trains fluency in recalling multiple notions together
-reduces the risk of losing the “big picture”
-allows different ratings for individual clozes while still producing a single interval, which is a new feature that would make Anki flashcards even more flexible and customizable.
DRAWBACKS:
-The scheduling logic and the optimal way to use this feature may not be immediately intuitive to all users
-retention of individual clozes may not always approximate the desired retention.