Cited by 150Student Assessment and FeedbackEvaluation of Teaching PracticesHigher Education Practises and Engagement

Towards more sustainable feedback to students

Dai Hounsell·2007·Rethinking Assessment in Higher Education

Abstract

Anyone engaged in a demanding activity, however experienced they are, can from time to time benefit from constructive and well-targeted feedback – the counsellor advising needy clients, the coordinator of a large and interprofessional team of colleagues, the help desk manager who constantly has to prioritise enquiries and requests for assistance. In such situations, periodic feedback can help individuals take stock of how well they are doing, and consider ways in which, for example, their effectiveness might be increased, their workload made more manageable, or their job satisfaction heightened. But when the activity concerned is not a wholly familiar one but involves significant new learning, as in educational settings, the role of feedback is particularly powerful. Indeed, in higher education, which is our focus here, well-crafted feedback can enhance learning in three significant ways: • by accelerating learning, i.e., speeding up what can be learned by the students concerned within a given period of time, and so enabling learning to take place more rapidly, or in greater depth or scope, than would otherwise be the case; • by optimising the quality of what is learned, i.e., helping to ensure that the learning outcomes achieved and evinced by the students meet the standards hoped for or required (e.g., in terms of precision, appreciation of complexity, applicability to real-world problems and so on); • by raising individual and collective attainment, through enabling the students to attain standards or levels of achievement higher than those which they might otherwise have reached, i.e., without recourse to the scaffolding afforded by feedback.

Integrity signals

Registry

Crossref · 10.4324/9780203964309-16

Cites

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?

  • The shift towards modularized structures has reduced opportunities for feedback as tasks get squeezed into fewer and fewer weeks.

    “The shift towards modularized structures has also reduced opportunities for feedback as tasks get squeezed into fewer and fewer weeks (Hounsell 2007).”

    From Rethinking models of feedback for learning: the challenge of design (2013) · cites this paper as Hounsell 2007

Cited by

Sorted by citations

Authors
Hounsell, D.
Corresponding author
Dai Hounsell
Venue
Rethinking Assessment in Higher Education
Publisher
Routledge
Published
2007-03-28
Pages
111-123
OpenAlex
W2922568719
Cited by
150
References
0
Citations by year
2026: 1 · 2025: 6 · 2024: 6 · 2023: 5 · 2022: 7 · 2021: 13 · 2020: 8 · 2019: 10 · 2018: 6 · 2017: 9 · 2016: 13 · 2015: 8 · 2014: 10 · 2013: 13 · 2012: 14
FWCI
24.99
Type
book chapter
Language
en
Open access
closed
Locations
Routledge eBooks (publishedVersion)
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 feedback, higher education, accelerated learning, learning quality, academic performance, scaffolding

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