Academic Advising Analytics

Academic Advising Analytics is a scholarly framework that systematically applies data-driven methods to analyze and optimize academic advising processes, distinguishing itself through its focus on enhancing student success outcomes by identifying patterns, predicting risks, and informing advising interventions.

28

Publications

969

Citations

83

Authors

56

Institutions

Publications per year

2017–2026

15

Authors

83

  1. TD
    Tinne De Laet

    KU Leuven, Belgium

    3 publications · 225 citations

    3

    h-index

  2. KV
    Katrien Verbert

    KU Leuven, Belgium

    3 publications · 225 citations

    3

    h-index

  3. MO
    Margarita Ortíz-Rojas

    Escuela Superior Politecnica del Litoral, Ecuador

    2 publications · 84 citations

    2

    h-index

  4. AJ
    Alberto Jiménez

    Escuela Superior Politecnica del Litoral, Ecuador

    2 publications · 84 citations

    2

    h-index

  5. TK
    Tommi Kärkkäinen

    University of Jyväskylä, Finland

    1 publications · 91 citations

    1

    h-index

1–5 of 83

Venues

  1. NACADA Journal

    2 publications · 35 citations

    2

    h-index

  2. 2

    h-index

  3. British Journal of Educational Technology

    BJET · 2 publications · 84 citations

    2

    h-index

  4. Statistics in Medicine

    1 publications · 11 citations

    1

    h-index

  5. Research in Higher Education

    1 publications · 129 citations

    1

    h-index

1–5