Peer Assessment Analytics

Peer Assessment Analytics is a type of learning analytics that specifically involves the systematic measurement, collection, and analysis of data generated through peer assessment processes in collaborative learning environments to evaluate and improve the quality, reliability, and pedagogical impact of peer feedback.

25

Publications

1.2K

Citations

84

Authors

39

Institutions

Publications per year

2017–2026

12

Authors

84

  1. AY
    Andrew Y. Ng

    Stanford University, United States

    2 publications · 313 citations

    2

    h-index

  2. JH
    Jonathan Huang

    Google (United States), United States

    2 publications · 313 citations

    2

    h-index

  3. CP
    Chris Piech

    Stanford University, United States

    2 publications · 313 citations

    2

    h-index

  4. IS
    Ivan Stelmakh

    Carnegie Mellon University, United States

    2 publications · 31 citations

    2

    h-index

  5. NB
    Nihar B. Shah

    University of California, Berkeley, United States

    2 publications · 31 citations

    2

    h-index

1–5 of 84

Venues

  1. Computers & Education

    3 publications · 264 citations

    3

    h-index

  2. Educational Data Mining

    Conference · 2 publications · 87 citations

    2

    h-index

  3. British Journal of Educational Technology

    BJET · 2 publications · 107 citations

    2

    h-index

  4. 1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 10 citations

    1

    h-index

1–5