Self-regulated Learning Modeling

Self-Regulated Learning Modeling is a computational or theoretical framework that formalizes the processes by which learners set goals, monitor progress, and adapt strategies in academic tasks, distinguishing itself through its explicit representation of metacognitive, motivational, and behavioral regulatory mechanisms within personalized learning contexts.

295

Publications

26.2K

Citations

663

Authors

320

Institutions

Publications per year

2017–2026

140

Authors

663

  1. PH
    Philip H. Winne

    Simon Fraser University, Canada

    19 publications · 2.7K citations

    19

    h-index

  2. RA
    Roger Azevedo

    North Carolina State University, United States

    11 publications · 2K citations

    11

    h-index

  3. AF
    Allyson F. Hadwin

    University of Victoria, Canada

    7 publications · 837 citations

    7

    h-index

  4. SP
    Susanne P. Lajoie

    McGill University, Canada

    7 publications · 394 citations

    7

    h-index

  5. JD
    Jesús de la Fuente

    University of Almería, Spain

    5 publications · 216 citations

    5

    h-index

1–5 of 663

Venues

  1. Metacognition and Learning

    12 publications · 1.2K citations

    12

    h-index

  2. Educational Psychologist

    13 publications · 4.2K citations

    12

    h-index

  3. Computers in Human Behavior

    10 publications · 1.3K citations

    10

    h-index

  4. Computers & Education

    9 publications · 937 citations

    8

    h-index

  5. Educational Psychology Review

    8 publications · 615 citations

    8

    h-index

1–5