Peer Feedback Generation

Peer Feedback Generation is a feedback generation approach in which learners produce evaluative and constructive input on peers' academic work, distinguishing it from instructor or automated feedback by emphasizing reciprocal, learner-centered assessment within collaborative learning environments.

373

Publications

18.6K

Citations

960

Authors

415

Institutions

Publications per year

2017–2026

166

Authors

960

  1. SY
    Shulin Yu

    University of Macau, Macao SAR China

    10 publications · 526 citations

    10

    h-index

  2. CD
    Christian D. Schunn

    University of Pittsburgh, United States

    8 publications · 261 citations

    8

    h-index

  3. MD
    Michael de Raadt

    University of Southern Queensland, Australia

    4 publications · 77 citations

    4

    h-index

  4. EZ
    Eric Zhi Feng Liu

    National Central University, Taiwan

    4 publications · 453 citations

    4

    h-index

  5. SP
    Steven P. Dow

    Carnegie Mellon University, United States

    4 publications · 94 citations

    4

    h-index

1–5 of 960

Venues

  1. Assessment & Evaluation in Higher Education

    18 publications · 1.4K citations

    17

    h-index

  2. Computers & Education

    11 publications · 1.3K citations

    11

    h-index

  3. Assessing Writing

    9 publications · 543 citations

    9

    h-index

  4. Teaching in Higher Education

    7 publications · 220 citations

    7

    h-index

  5. European Journal of Psychology of Education

    7 publications · 344 citations

    7

    h-index

1–5