Cited by 61Student Assessment and FeedbackInnovative Teaching and Learning MethodsOnline and Blended Learning

What aspects of online peer feedback robustly predict growth in students' task performance?

Zong, Zheng, Schunn, Christian D., Wang, Yanqing·2021·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2021.106924

Cites

70 of 70 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • There is a strong association between feedback quality and comment length.

    “previous research has found a strong association between feedback quality and comment length Zong et al. (2021).”

    From Impact of AI assistance on student agency (2024) · cites this paper as Zong et al. (2021)

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zong, Z., Schunn, C. D., & Wang, Y.
Affiliations
  • Harbin Institute of Technology (CN)
  • University of Pittsburgh (US)
Corresponding author
Schunn, Christian D.
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2021-11
Volume
124
Pages
106924
ISSN
0747-5632 (ISSN-L)
OpenAlex
W3176997313
Cited by
61
References
70
Citations by year
2026: 11 · 2025: 16 · 2024: 12 · 2023: 15 · 2022: 6 · 2021: 1
FWCI
12.97
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (publishedVersion)
Topics
  • Social Sciences › Education › Student Assessment and Feedback
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Social Sciences › Education › Online and Blended Learning
Keywords
online peer feedback, peer comments, comment quality, learning outcomes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review