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Cited by 288

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The Importance of Marking Criteria in the Use of Peer Assessment

Orsmond, Paul, Merry, Stephen, Reiling, Kevin·1996·Assessment & Evaluation in Higher Education

Abstract

This paper reports a study which implemented and evaluated a method of peer assessment, as a formative and summative assessment procedure. Pairs of first‐year undergraduate biology students were asked to complete a poster assignment on a specific aspect of nerve physiology. This paper contains details of a method which allows student peer and tutor marking of work against the individual marking criteria to be evaluated. The results show that a comparison between the tutor and the student peer mark may be misleading as a guide to the validity of peer assessment. The importance of considering the individual sections of the marking criteria is illustrated. It was found that when the individual criteria were analysed the number of students marking the same as the tutor ranged from 31% to 62%. It also became clear that specific areas of the marking criteria were prone to over and under‐marking. Analysis of student feedback forms showed that students not only liked carrying out peer assessment, but felt the benefits in terms of developing facets of their learning process and heightening their awareness of their work. These results are discussed in the light of other studies.

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Metadata

Authors
Orsmond, P., Merry, S., & Reiling, K.
Venue
Assessment & Evaluation in Higher Education
Published
1996-09
Volume
21
Issue
3
Pages
239-250
ISSN
  • 0260-2938 (ISSN-L)
  • 1469-297X
OpenAlex
W2080170979
Cited by
288
References
0
FWCI
25.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Importance of Marking Criteria in the Use of Peer Assessment. https://app.cochat.ai/papers/10.1080/0260293960210304
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Orsmond, P., Merry, S., & Reiling, K. (1996). The Importance of Marking Criteria in the Use of Peer Assessment. Assessment & Evaluation in Higher Education. https://doi.org/10.1080/0260293960210304

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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.