Rubric-based Feedback Generation

Rubric-Based Feedback Generation is a computational method for generating formative academic feedback by systematically aligning student work to predefined criteria and performance levels specified in a rubric, thereby enabling structured, consistent, and criterion-referenced assessment.

91

Publications

4.8K

Citations

252

Authors

104

Institutions

Publications per year

2017–2026

38

Authors

252

  1. DL
    Diane Litman

    University of Pittsburgh, United States

    3 publications · 99 citations

    3

    h-index

  2. TA
    Tuukka Ahoniemi

    2 publications · 55 citations

    2

    h-index

  3. GR
    G.J. Reynders

    University of Iowa, United States

    2 publications · 183 citations

    2

    h-index

  4. OP
    Olga Petkova

    Central Connecticut State University, United States

    2 publications · 88 citations

    2

    h-index

  5. CS
    Courtney Stanford

    University of Iowa, United States

    2 publications · 183 citations

    2

    h-index

1–5 of 252

Venues

  1. Assessing Writing

    5 publications · 339 citations

    5

    h-index

  2. Assessment & Evaluation in Higher Education

    4 publications · 182 citations

    4

    h-index

  3. 2

    h-index

  4. CBE—Life Sciences Education

    2 publications · 335 citations

    2

    h-index

  5. 2

    h-index

1–5