Agent-based Learning Environments

Agent-Based Learning Environments is a computational learning framework that simulates dynamic interactions within science learning software by modeling autonomous agents and their rule-based behaviors to represent complex systems and facilitate inquiry-based understanding.

453

Publications

23.5K

Citations

1.1K

Authors

414

Institutions

Publications per year

2017–2026

90

Authors

1.1K

  1. GB
    Gautam Biswas

    Vanderbilt University, United States

    16 publications · 1.5K citations

    15

    h-index

  2. AL
    Amy L. Baylor

    Florida State University, United States

    12 publications · 1.2K citations

    11

    h-index

  3. WL
    W. Lewis Johnson

    University of Southern California, United States

    9 publications · 786 citations

    9

    h-index

  4. UW
    Uri Wilensky

    Northwestern University, United States

    8 publications · 472 citations

    8

    h-index

  5. YK
    Yanghee Kim

    Utah State University, United States

    7 publications · 1K citations

    7

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 1.1K citations

    14

    h-index

  2. Computers & Education

    10 publications · 789 citations

    10

    h-index

  3. Journal of Educational Psychology

    6 publications · 1.4K citations

    6

    h-index

  4. 5

    h-index

  5. Applied Artificial Intelligence

    AAI · 5 publications · 725 citations

    5

    h-index

1–5