Concept

Supermemo System

This is the algorithm for the supermemo (SP2) which was described in the paper:

  1. Split knowledge

  2. E-Factor = 2.5, for all items

  3. Repeat items using the following intervals: I(1):=1 I(2):=6 for n>2: I(n):=I(n-1)*EF where: I(n) - inter-repetition interval after the n-th repetition (in days), EF - E-Factor (easiness of memorizing and retaining a given item in memory)

  4. There is grade scale 0-5: 5 - PERFECT 4 - Correct + hesitation 3 - Correct + took more time 2 - Incorrect + correct easy to recall 1 - Incorrect + correct remembered 0 - Blackout

  5. After this we change E-Factors using the formula: EF_new:=EF+(0.1-(5-q)*(0.08+(5-q)*0.02)) q - 0-5 range; EF_new - new E-Factor, if EF < 1.3 \rightarrow EF = 1.3

  6. If q < 3 then repeat 1-5 without changing EF.

  7. After on a specific day the session is finished, repeat the procedure until at least q=4 is achieved for all the items.

0

1

Updated 2020-10-27

Tags

Data Science