Learning Analytics For Progressions

Learning Analytics for Progressions is a scholarly framework that systematically integrates data-driven methodologies with theoretical models ofLearning Progressions to trace, interpret, and support learners' evolving competencies across developmental levels.

5

Publications

161

Citations

22

Authors

10

Institutions

Publications per year

2017–2026

4

Authors

22

  1. İD
    İbrahim Demir

    University of Iowa, United States

    2 publications · 70 citations

    2

    h-index

  2. RS
    Ramteja Sajja

    University of Iowa, United States

    2 publications · 70 citations

    2

    h-index

  3. YS
    Yusuf Sermet

    University of Iowa, United States

    2 publications · 70 citations

    2

    h-index

  4. DM
    David M. Cwiertny

    University of Iowa, United States

    2 publications · 70 citations

    2

    h-index

  5. DF
    Daniela Fiedler

    Leibniz Institute for Science and Mathematics Education, Germany

    1 publications · 42 citations

    1

    h-index

1–5 of 22

Venues

  1. Australasian Journal of Educational Technology

    AJET · 1 publications · 24 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 16 citations

    1

    h-index

  3. Technology Knowledge and Learning

    1 publications · 54 citations

    1

    h-index

  4. Online Learning

    1 publications · 25 citations

    1

    h-index

  5. Frontiers in Education

    FEDUC · 1 publications · 42 citations

    1

    h-index

1–5