The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Commenting on Writing: Typology and Perceived Helpfulness of Comments from Novice Peer Reviewers and Subject Matter Experts
Abstract
How do comments on student writing from peers compare to those from subject-matter experts? This study examined the types of comments that reviewers produce as well as their perceived helpfulness. Comments on classmates’ papers were collected from two undergraduate and one graduate-level psychology course. The undergraduate papers in one of the courses were also commented on by an independent psychology instructor experienced in providing feedback to students on similar writing tasks. The comments produced by students at both levels were shorter than the instructor’s. The instructor’s comments were predominantly directive and rarely summative. The undergraduate peers’ comments were more mixed in type; directive and praise comments were the most frequent. Consistently, undergraduate peers found directive and praise comments helpful. The helpfulness of the directive comments was also endorsed by a writing expert.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Revision Strategies of Student Writers and Experienced Adult Writers
Sommers, N. (1980) · College Composition & Communication · doi:10.2307/356588 · Cited by 749
Cited by
Improving the effectiveness of peer feedback for learning
Gielen, S., Peeters, E., Dochy, F., Onghena, P., & Struyven, K. (2010) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.08.007 · Cited by 615
The nature of feedback: How different types of peer feedback affect writing performance
Nelson, M. M., & Schunn, C. D. (2009) · Instructional Science · doi:10.1007/s11251-008-9053-x · Cited by 602
Self-citationGuo, K., & Wang, D. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12146-0 · Cited by 449
The Impact of Peer Assessment on Academic Performance: A Meta-analysis of Control Group Studies
Double, K. S., McGrane, J. A., & Hopfenbeck, T. N. (2020) · Educational Psychology Review · doi:10.1007/s10648-019-09510-3 · Cited by 446
Cho, K., Schunn, C. D., & Wilson, R. W. (2006) · Journal of Educational Psychology · doi:10.1037/0022-0663.98.4.891 · Cited by 355
Self-citationWilson, J., & Czik, A. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.05.004 · Cited by 297
Peer reviewers learn from giving comments
Cho, Y. H., & Cho, K. (2011) · Instructional Science · doi:10.1007/s11251-010-9146-1 · Cited by 294
Self-citationCho, K., & MacArthur, C. (2011) · Journal of Educational Psychology · doi:10.1037/a0021950 · Cited by 246
Self-citationThe Effectiveness of feedback for L1-English and L2-writing development: a meta-analysis.
Biber, D., Nekrasova, T., & Horn, B. (2011) · ETS Research Report Series · doi:10.1002/j.2333-8504.2011.tb02241.x · Cited by 175
Patchan, M. M., Schunn, C. D., & Correnti, R. J. (2016) · Journal of Educational Psychology · doi:10.1037/edu0000103 · Cited by 165
Self-citationGielen, S., Tops, L., Dochy, F., Onghena, P., & Smeets, S. (2010) · British Educational Research Journal · doi:10.1080/01411920902894070 · Cited by 160
Student – Feedback Interaction Model: Revised
Lipnevich, A. A., & Smith, J. K. (2022) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2022.101208 · Cited by 125
Patchan, M. M., Schunn, C. D., & Clark, R. J. (2018) · Studies in Higher Education · doi:10.1080/03075079.2017.1320374 · Cited by 112
Self-citationSelf-assessment complements peer assessment for undergraduate students in an academic writing task
Cheong, C. M., Luo, N., Zhu, X., Lu, Q., & Wei, W. (2023) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2022.2069225 · Cited by 50
Huisman, B., Admiraal, W., Pilli, O., van de Ven, M., & Saab, N. (2018) · British Journal of Educational Technology · doi:10.1111/bjet.12520 · Cited by 42
Natural language processing techniques for researching and improving peer feedback
Xiong, W., Litman, D., & Schunn, C. (2012) · Journal of Writing Research · doi:10.17239/jowr-2012.04.02.3 · Cited by 36
Self-citationStudent peer review as a process of knowledge creation through dialogue
Reddy, K., Harland, T., Wass, R., & Wald, N. (2021) · Higher Education Research & Development · doi:10.1080/07294360.2020.1781797 · Cited by 36
Nielsen, K. (2021) · Educational Review · doi:10.1080/00131911.2019.1695104 · Cited by 30
Secondary Students' Perceptions of Peer Review of Writing
Loretto, A., DeMartino, S., & Godley, A. (2016) · Research in the Teaching of English · doi:10.58680/rte201628872 · Cited by 30
Yallop, R. M. A., Taremaa, P., & Leijen, D. A. J. (2021) · Journal of Writing Research · doi:10.17239/jowr-2021.12.03.02 · Cited by 10
Li, A. W., & Collins, P. (2026) · Reading and Writing · doi:10.1007/s11145-026-10761-0 · Cited by 9
A WINning approach: teaching science communication skills through small-group workshops
Gumusoglu, S. B., Noterman Soulinthavong, M., & Barr, J. (2022) · Higher Learning Research Communications · doi:10.18870/hlrc.v12i2.1342 · Cited by 3
(2014) · Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · Cited by 1
Metadata
- Authors
- Cho, K., Schunn, C. D., & Charney, D.
- Venue
- Written Communication
- Publisher
- SAGE Publications
- Published
- 2006-07
- Volume
- 23
- Issue
- 3
- Pages
- 260-294
- ISSN
- 0741-0883 (ISSN-L)
- 1552-8472
- OpenAlex
- W1992118338
- Cited by
- 235
- References
- 1
- FWCI
- 27.65
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.