Predictive Student Analytics

Predictive Student Analytics is a computational methodology within student modeling that employs data-driven techniques to forecast individual students' future academic performance or behaviors based on historical and contextual learning data.

340

Publications

22.2K

Citations

999

Authors

402

Institutions

Publications per year

2017–2026

204

Authors

999

  1. CH
    Christothea Herodotou

    The Open University, United Kingdom

    5 publications · 242 citations

    5

    h-index

  2. BR
    Bart Rienties

    The Open University, United Kingdom

    5 publications · 345 citations

    5

    h-index

  3. SK
    Sotiris Kotsiantis

    University of Patras, Greece

    5 publications · 390 citations

    5

    h-index

  4. UF
    Uno Fors

    Karolinska Institutet, Sweden

    4 publications · 240 citations

    4

    h-index

  5. HO
    Hiroaki Ogata

    Tokushima University, Japan

    4 publications · 472 citations

    4

    h-index

1–5 of 999

Venues

  1. Education and Information Technologies

    19 publications · 1.3K citations

    18

    h-index

  2. Journal of Learning Analytics

    8 publications · 658 citations

    8

    h-index

  3. IEEE Access

    8 publications · 600 citations

    8

    h-index

  4. Procedia Computer Science

    6 publications · 476 citations

    6

    h-index

  5. Computers & Education

    5 publications · 830 citations

    5

    h-index

1–5