Temporal Sequence Modeling

Temporal Sequence Modeling is a computational modeling approach that, as a member of the class of sequence analysis methods, specifically captures and leverages the temporal dependencies and ordered progression of educational events or student interactions over time to predict academic outcomes such as dropout.

178

Publications

12K

Citations

608

Authors

349

Institutions

Publications per year

2017–2026

77

Authors

608

  1. ZH
    Zi Huang

    The University of Queensland, Australia

    2 publications · 99 citations

    2

    h-index

  2. GR
    Giulio Rossetti

    Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy

    2 publications · 37 citations

    2

    h-index

  3. RV
    Rodrigo Viveros Duran

    The University of Texas at Austin, United States

    2 publications · 51 citations

    2

    h-index

  4. FM
    Franziska Michor

    Dana-Farber Cancer Institute, United States

    2 publications · 201 citations

    2

    h-index

  5. YW
    Yutian Wang

    Chinese Academy of Sciences, China

    2 publications · 115 citations

    2

    h-index

1–5 of 608

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 178 citations

    7

    h-index

  2. 2

    h-index

  3. PLoS ONE

    2 publications · 31 citations

    2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 44 citations

    2

    h-index

  5. Journal of Learning Analytics

    2 publications · 46 citations

    2

    h-index

1–5