Peer Feedback Automation
Peer Feedback Automation is a methodological framework within automated feedback systems that enables the systematic orchestration and computational support of feedback exchanges among peers, distinguishing itself by integrating rule-based or machine learning–driven mechanisms to standardize, scale, and personalize peer-generated evaluations in academic or instructional settings.
10
Publications
459
Citations
34
Authors
15
Institutions
Publications per year
2017–2026
5
Parents
10
1–5 of 10
34
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 34
15

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
4 publications
406 citations
Boise State University
Boise, United States
1 h-index
2 publications
202 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
34 citations
Carleton College
Northfield, United States
1 h-index
2 publications
24 citations
Universitat Oberta de Catalunya
Barcelona, Spain
1 h-index
1 publications
74 citations

Open University of the Netherlands
Heerlen, The Netherlands
1 h-index
3 publications
42 citations
University of Michigan
Ann Arbor, United States
1 h-index
5 publications
55 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
2 publications
68 citations
1–8 of 15
1 publications · 31 citations
1
h-index
1 publications · 125 citations
1
h-index
1 publications · 40 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 17 citations
1
h-index
1–5