Learner Retention Analysis

Learner Retention Analysis is a systematic methodological framework within educational data mining that identifies and evaluates factors influencing student persistence in academic programs, distinguishing itself by focusing on predictive and interpretative modeling of engagement, performance, and institutional variables to inform interventions aimed at reducing dropout rates.

869

Publications

60.6K

Citations

2K

Authors

730

Institutions

Publications per year

2017–2026

243

Authors

2K

  1. JN
    Jan N. Hughes

    Texas A&M University, United States

    8 publications · 374 citations

    8

    h-index

  2. MO
    Matthew Ohland

    Purdue University West Lafayette, United States

    5 publications · 224 citations

    5

    h-index

  3. RL
    Ronald L. Huesman

    University of Minnesota, United States

    5 publications · 146 citations

    5

    h-index

  4. SR
    Shane R. Jimerson

    University of California, Santa Barbara, United States

    5 publications · 1.2K citations

    5

    h-index

  5. KS
    Karen Swan

    Kent State University, United States

    5 publications · 472 citations

    5

    h-index

1–5 of 2K

Venues

  1. 28

    h-index

  2. 12

    h-index

  3. Journal of Educational Psychology

    10 publications · 530 citations

    10

    h-index

  4. Online Learning

    10 publications · 1.2K citations

    10

    h-index

  5. NASPA Journal

    9 publications · 622 citations

    9

    h-index

1–5