Learning Progression Modeling

Learning Progression Modeling is a computational analytical framework within educational process mining that represents and interprets the temporal, sequential, and behavioral patterns of learners’ activities to reconstruct and predict the underlying developmental pathways of knowledge acquisition and skill mastery.

123

Publications

7.2K

Citations

337

Authors

145

Institutions

Publications per year

2017–2026

57

Authors

337

  1. MW
    Mark Wilson

    University of California, Berkeley, United States

    6 publications · 582 citations

    6

    h-index

  2. JD
    Julia D. Plummer

    Pennsylvania State University, United States

    4 publications · 258 citations

    4

    h-index

  3. AW
    Amelia Wenk Gotwals

    Michigan State University, United States

    4 publications · 328 citations

    4

    h-index

  4. CA
    Charles Anderson

    Michigan State University, United States

    4 publications · 1K citations

    4

    h-index

  5. JK
    Joseph Krajcik

    University of Michigan, United States

    4 publications · 742 citations

    4

    h-index

1–5 of 337

Venues

  1. Journal of Research in Science Teaching

    JRST · 18 publications · 2.3K citations

    18

    h-index

  2. International Journal of Science Education

    IJSE · 9 publications · 264 citations

    9

    h-index

  3. Science Education

    8 publications · 1.1K citations

    8

    h-index

  4. ETS Research Report Series

    4 publications · 83 citations

    4

    h-index

  5. Research in Science Education

    3 publications · 74 citations

    3

    h-index

1–5