Cited by 121Student Assessment and FeedbackEvaluation of Teaching PracticesHigher Education Practises and Engagement

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

The mythology of feedback

Adcroft, Andy·2011·Higher Education Research & Development

Abstract

Much of the general education and discipline-specific literature on feedback suggests that it is a central and important element of student learning. This paper examines feedback from a social process perspective and suggests that feedback is best understood through an analysis of the interactions between academics and students. The paper argues that these two groups will have their own mythology of feedback and that this will inform their beliefs, attitudes and behaviours in the feedback process. Where there are different mythologies, the outcome will be dissonance. The paper reports on a study in which a 15-item questionnaire was distributed to academics and students in a School of Law and a School of Management. Responses were received from 91 academics and 1197 students. The data suggests that academics and students have different perceptions of feedback and this creates dissonance as the two groups offer different interpretations of the same feedback events.

Overview

Integrity signals

Registry

Crossref · 10.1080/07294360.2010.526096

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

Claims the paper makes

This paper’s full text isn’t openly available, 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?

Citations

Cites

Show all 30 references

Research works printed but not linked: 9

  1. Bone A., 1999, Ensuring successful assessment
  2. Cowan J., 2004, Improving student learning through departmental student feedback self-studies
  3. Gibbs G., 2005, Learning and Teaching in Higher Education, 1, 3
  4. Handley K., 2009, Engaging students with assessment feedback
  5. Hounsell, D., McCune, V., Hounsell, J. and Litjens, J. Investigating and enhancing guidance and feedback to undergraduate students. Paper presented at the 3rd Biennial Northumbria/EARL SIG Assessment Conference, Northumbria.
  6. Miller N., 2004, Alternative forms of formative and summative assessment: The handbook for economics lecturers
  7. Moriarty, J. and Rajapillai, V. Paper presented at the Assessment in English Literature and Creative Writing Conference. Brighton, UK. How can teaching help with assessment? Enhancing peer feedback through blogging on creative writing: Beyond the essay,
  8. Race P., 2007, Designing assessment to improve physical sciences learning
  9. Zydziunaite V., 2009, Current Issues in Business and Law, 4, 103

Cited by

Sorted by citations

Items 101–121 of 121

Metadata

Authors
Adcroft, A.
Affiliations
University of Surrey (GB)
Corresponding author
Adcroft, Andy
Venue
Higher Education Research & Development
Published
2011-08
Volume
30
Issue
4
Pages
405-419
ISSN
  • 0729-4360 (ISSN-L)
  • 1469-8366
OpenAlex
W2008878076
Cited by
121
References
30
Citations by year
2026: 4 · 2025: 5 · 2024: 8 · 2023: 11 · 2022: 2 · 2021: 9 · 2020: 18 · 2019: 11 · 2018: 4 · 2017: 7 · 2016: 13 · 2015: 6 · 2014: 9 · 2013: 8 · 2012: 5
FWCI
35.39
Type
journal article
Language
en
Open access
closed
Locations
  • Higher Education Research & Development (publishedVersion)
  • Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
Topics
  • Social Sciences › Education › Student Assessment and Feedback
  • Social Sciences › Education › Evaluation of Teaching Practices
  • Social Sciences › Education › Higher Education Practises and Engagement
Keywords
feedback, student learning, law students, business students

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