Formative Feedback Generation

Formative Feedback Generation is a computational process that systematically produces timely, actionable, and learner-specific feedback during the learning progression, distinguished from summative or evaluative feedback systems by its focus on supporting ongoing skill development and adaptive learning outcomes.

331

Publications

20.1K

Citations

948

Authors

377

Institutions

Publications per year

2017–2026

134

Authors

948

  1. DS
    Danielle S. McNamara

    Arizona State University, United States

    6 publications · 277 citations

    6

    h-index

  2. SB
    Simon Buckingham Shum

    University of Technology Sydney, Australia

    5 publications · 148 citations

    5

    h-index

  3. HK
    Hieke Keuning

    Utrecht University, Netherlands

    4 publications · 448 citations

    4

    h-index

  4. RS
    Rishabh Singh

    Microsoft (United States), United States

    4 publications · 510 citations

    4

    h-index

  5. JJ
    Johan Jeuring

    Utrecht University, Netherlands

    4 publications · 408 citations

    4

    h-index

1–5 of 948

Venues

  1. Assessment & Evaluation in Higher Education

    8 publications · 612 citations

    8

    h-index

  2. 5

    h-index

  3. ACM Transactions on Computing Education

    TOCE · 4 publications · 402 citations

    4

    h-index

  4. Medical Teacher

    4 publications · 176 citations

    4

    h-index

  5. Journal of Chemical Education

    4 publications · 99 citations

    4

    h-index

1–5