Learner Modeling From Text

Learner Modeling From Text is a computational framework within natural language processing in education that constructs individualized representations of learners' knowledge, skills, or cognitive traits by analyzing their written or spoken language outputs.

157

Publications

12.4K

Citations

504

Authors

214

Institutions

Publications per year

2017–2026

71

Authors

504

  1. TK
    Thomas K. Landauer

    Core Competence, United States

    4 publications · 338 citations

    4

    h-index

  2. BS
    Burr Settles

    Carnegie Mellon University, United States

    3 publications · 678 citations

    3

    h-index

  3. DS
    Danielle S. McNamara

    Arizona State University, United States

    3 publications · 223 citations

    3

    h-index

  4. TB
    Ted Briscoe

    University of Cambridge, United Kingdom

    3 publications · 189 citations

    3

    h-index

  5. RG
    Richard G. Baraniuk

    Rice University, United States

    3 publications · 208 citations

    3

    h-index

1–5 of 504

Venues

  1. Computer Assisted Language Learning

    5 publications · 137 citations

    5

    h-index

  2. Educational Data Mining

    Conference · 4 publications · 99 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 190 citations

    4

    h-index

  4. British Journal of Educational Technology

    BJET · 3 publications · 215 citations

    3

    h-index

  5. 3

    h-index

1–5