Adaptive Scheduling Algorithms

Adaptive Scheduling Algorithms is a computational method within spaced repetition systems that dynamically adjusts the timing of review intervals based on individual learner performance, thereby optimizing long-term retention through personalized learning trajectories.

151

Publications

5.3K

Citations

484

Authors

221

Institutions

Publications per year

2017–2026

39

Authors

484

  1. MK
    Mari Kobayashi

    Supélec, France

    3 publications · 39 citations

    3

    h-index

  2. WH
    Wen-Jing Hsu

    Nanyang Technological University, Singapore

    3 publications · 54 citations

    3

    h-index

  3. HS
    Hongyang Sun

    Vanderbilt University, United States

    3 publications · 54 citations

    3

    h-index

  4. DC
    Douglas C. Schmidt

    Vanderbilt University, United States

    2 publications · 60 citations

    2

    h-index

  5. DG
    David Gesbert

    EURECOM, France

    2 publications · 28 citations

    2

    h-index

1–5 of 484

Venues

  1. International Journal of Production Research

    5 publications · 224 citations

    5

    h-index

  2. IEEE Access

    4 publications · 179 citations

    4

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 164 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 40 citations

    3

    h-index

  5. IEEE Transactions on Robotics and Automation

    2 publications · 132 citations

    2

    h-index

1–5