The DOI matches its Crossref record.
Assessor or assessee: How student learning improves by giving and receiving peer feedback
Abstract
This study investigated the relationship between the quality of peer assessment and the quality of student projects in a technology application course for teacher education students. Forty‐three undergraduate student participants completed the assigned projects. During the peer assessment process, students first anonymously rated and commented on two randomly assigned peers' projects, and they were then asked to improve their projects based on the feedback they received. Two independent raters blindly evaluated student initial and final projects. Data analysis indicated that when controlling for the quality of the initial projects, there was a significant relationship between the quality of peer feedback students provided for others and the quality of the students' own final projects. However, no significant relationship was found between the quality of peer feedback students received and the quality of their own final projects. This finding supported a prior research claim that active engagement in reviewing peers' projects may facilitate student learning.
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
Cited by
Yorke, M. (2003) · Higher Education · doi:10.1023/a:1023967026413 · Cited by 973
Comparing online and blended learner's self-regulated learning strategies and academic performance
Broadbent, J. (2017) · The Internet and Higher Education · doi:10.1016/j.iheduc.2017.01.004 · Cited by 679
Peer reviewers learn from giving comments
Cho, Y. H., & Cho, K. (2011) · Instructional Science · doi:10.1007/s11251-010-9146-1 · Cited by 294
Feedback sources in essay writing: peer-generated or AI-generated feedback?
Banihashem, S. K., Kerman, N. T., Noroozi, O., Moon, J., & Drachsler, H. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00455-4 · Cited by 282
Patchan, M. M., & Schunn, C. D. (2015) · Instructional Science · doi:10.1007/s11251-015-9353-x · Cited by 181
Relations between scripted online peer feedback processes and quality of written argumentative essay
Noroozi, O., Biemans, H., & Mulder, M. (2016) · The Internet and Higher Education · doi:10.1016/j.iheduc.2016.05.002 · Cited by 176
Weber, K. E., Gold, B., Prilop, C. N., & Kleinknecht, M. (2018) · Teaching and Teacher Education · doi:10.1016/j.tate.2018.08.008 · Cited by 165
McCarthy, J. (2017) · Active Learning in Higher Education · doi:10.1177/1469787417707615 · Cited by 140
Peer-assessment in higher education--Twenty-first Century practices, challenges and the way Forward
Ashenafi, M. M. (2017) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2015.1100711 · Cited by 120
Incorporating AI and learning analytics to build trustworthy peer assessment systems
Darvishi, A., Khosravi, H., Sadiq, S., & Gašević, D. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13233 · Cited by 120
Noroozi, O., Banihashem, S. K., Taghizadeh Kerman, N., Parvaneh Akhteh Khaneh, M., Babaee, M., Ashrafi, H., & Biemans, H. J. A. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2022.2034887 · Cited by 105
What if pupils can assess their peers anonymously? A quasi-experimental study
Vanderhoven, E., Raes, A., Montrieux, H., Rotsaert, T., & Schellens, T. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.10.001 · Cited by 96
The effect of peer assessment on project performance of students at different learning levels
Li, L., & Gao, F. (2016) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2015.1048185 · Cited by 79
Self-citationRaes, A., Vanderhoven, E., & Schellens, T. (2015) · Studies in Higher Education · doi:10.1080/03075079.2013.823930 · Cited by 78
Pham, T. N., Lin, M., Trinh, V. Q., & Bui, L. T. P. (2020) · SAGE Open · doi:10.1177/2158244020914554 · Cited by 68
“In addition, CHC students prefer and respect feedback from teachers who are deemed to have a reliable source of knowledge and absolute authority (Li et al., 2010; Pham, 2010).”
BackgroundResultInfluentialLiu, X., Li, L., & Zhang, Z. (2018) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2017.1324018 · Cited by 66
Self-citationYucel, R., Bird, F. L., Young, J., & Blanksby, T. (2014) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2014.880400 · Cited by 66
Chu, H.-C., Chen, J.-M., Hwang, G.-J., & Chen, T.-W. (2019) · Universal Access in the Information Society · doi:10.1007/s10209-017-0588-y · Cited by 53
Demiraslan Çevik, Y. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.05.056 · Cited by 42
Teacher, peer, or AI? Comparing effects of feedback sources in higher education
Weidlich, J., Gotsch, F., Schudel, K., Marusic-Würscher, C., Mazzarella, J., Bolten, H., Bütler, D., Luger, S., Wohlfender, B., & Merki, K. M. (2025) · Computers and Education Open · doi:10.1016/j.caeo.2025.100300 · Cited by 36
Using Peer Feedback to Improve Students’ Scientific Inquiry
Tasker, T. Q., & Herrenkohl, L. R. (2016) · Journal of Science Teacher Education · doi:10.1007/s10972-016-9454-7 · Cited by 29
A Peer-Assessment Mobile Kung Fu Education Approach to Improving Students' Affective Performances
Kuo, F.-C., Chen, J.-M., Chu, H.-C., Yang, K.-H., & Chen, Y.-H. (2017) · International Journal of Distance Education Technologies · doi:10.4018/ijdet.2017010101 · Cited by 21
Lahza, H. F., Demartini, G., Noroozi, O., Gašević, D., Sadiq, S., & Khosravi, H. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105260 · Cited by 16
Ching, Y.-H., & Hsu, Y.-C. (2016) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v17i2.2221 · Cited by 16
Face-to-Face Peer Assessment in Secondary Education: Does Anonymity Matter?
Vanderhoven, E., Raes, A., Schellens, T., & Montrieux, H. (2012) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2012.12.071 · Cited by 15
AI assistance in peer feedback provision: Pedagogically sound, but minimally adopted
Pozdniakov, S., Brazil, J., Banihashem, S. K., Noroozi, O., Gašević, D., Sadiq, S., & Khosravi, H. (2026) · Computers & Education · doi:10.1016/j.compedu.2026.105591 · Cited by 11
Dmoshinskaia, N., Gijlers, H., & de Jong, T. (2022) · Journal of Science Education and Technology · doi:10.1007/s10956-021-09939-8 · Cited by 7
Metadata
- Authors
- Li, L., Liu, X., & Steckelberg, A. L.
- Venue
- British Journal of Educational Technology
- Publisher
- Wiley
- Published
- 2010-04-15
- Volume
- 41
- Issue
- 3
- Pages
- 525-536
- ISSN
- 0007-1013 (ISSN-L)
- 1467-8535
- OpenAlex
- W2043311266
- Cited by
- 374
- References
- 0
- FWCI
- 54.93
- 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.