Learning Analytics In Simulation

Learning Analytics in Simulation is a scholarly framework that systematically captures, analyzes, and interprets trace data from simulated learning environments to assess and optimize learners’ cognitive and behavioral processes within immersive educational contexts.

17

Publications

524

Citations

72

Authors

29

Institutions

Publications per year

2017–2026

10

Authors

72

  1. RM
    Roberto Martínez‐Maldonado

    Monash University, Australia

    4 publications · 127 citations

    4

    h-index

  2. SB
    Simon Buckingham Shum

    University of Technology Sydney, Australia

    3 publications · 90 citations

    3

    h-index

  3. CA
    Carmen Axisa

    University of Technology Sydney, Australia

    3 publications · 90 citations

    3

    h-index

  4. TP
    Tamara Power

    University of Technology Sydney, Australia

    2 publications · 65 citations

    2

    h-index

  5. VE
    Vanessa Echeverría

    Monash University, Australia

    2 publications · 62 citations

    2

    h-index

1–5 of 72

Venues

  1. Soft Computing

    1 publications · 21 citations

    1

    h-index

  2. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 1 publications · 16 citations

    1

    h-index

  3. ETS Research Report Series

    1 publications · 16 citations

    1

    h-index

  4. Online Learning

    1 publications · 15 citations

    1

    h-index

  5. Instructional Science

    1 publications · 48 citations

    1

    h-index

1–5