Probability Learning

Probability Learning is a cognitive modeling framework within mathematics education research that formalizes how individuals iteratively update their subjective probability estimates based on feedback, distinguishing itself from other learning models by its focus on the acquisition and refinement of probabilistic reasoning through experience-driven, incremental adjustments.

373

Publications

17.9K

Citations

659

Authors

297

Institutions

Publications per year

2017–2026

53

Authors

659

  1. JW
    Jane Watson

    University of Tasmania, Australia

    10 publications · 362 citations

    10

    h-index

  2. SE
    Stephen E. Edgell

    University of Louisville, United States

    8 publications · 209 citations

    8

    h-index

  3. CB
    Carmen Batanero

    Universidad de Granada, Spain

    7 publications · 513 citations

    7

    h-index

  4. BB
    Berndt Brehmer

    Uppsala University, Sweden

    6 publications · 359 citations

    6

    h-index

  5. JL
    Jerome L. Myers

    University of Massachusetts Amherst, United States

    6 publications · 111 citations

    6

    h-index

1–5 of 659

Venues

  1. Journal of Experimental Psychology

    29 publications · 1.5K citations

    19

    h-index

  2. Organizational Behavior and Human Performance

    18 publications · 883 citations

    15

    h-index

  3. Statistics Education Research Journal

    17 publications · 791 citations

    14

    h-index

  4. Journal of Statistics Education

    JSE · 14 publications · 697 citations

    13

    h-index

  5. International Electronic Journal of Mathematics Education

    IEJME · 10 publications · 220 citations

    10

    h-index

1–5