Sökning: "Sugandh Sinha"

Hittade 1 uppsats innehållade orden Sugandh Sinha.

  1. 1. Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sugandh Sinha; [2019]
    Nyckelord :;

    Sammanfattning : Spaced repetition is a learning technique in which content to be learned or memorized is reviewed multiple times with gaps in between for efficient memorization and practice of skills. Two of the most common systems used for providing spaced repetition on e-learning platforms are Leitner and SuperMemo systems. LÄS MER