The DOI matches its Crossref record.
Assessment for Learning in Higher Education
Abstract
Assessment of learning in higher education has been characterized as a fruitful subject in the Brazilian educational scenario, as it constitutes a complex and extremely relevant pedagogical process.This study purposes to reflect on the assessment of learning in higher education, aiming to understand and critically analyze this process and the questions that address the evaluative practices.Therefore, this work is based on scientific studies and research on the topic addressed.Results are presented and discussed based on bibliographic and documentary research that point out that although the assessment of learning in higher education is a necessary process, it is not an instrument of control, classification or coercion, but an instrument to investigate the level of learning of students.Consequently, we conclude that, the assessment cannot be dissociated from the teaching-learning process, given that it subsidizes information to the teacher, regarding the academic development, as well as information for the teacher to reflect and (re)think his own pedagogical practice.We also highlight the need for further debates on this subject, in view that the topic addressed needs to be much more discussed among education researchers, given the low production of scientific research on the subject articulated to Brazilian higher education.
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
Making Sense of Assessment Feedback in Higher Education
Evans, C. (2013) · Review of Educational Research · doi:10.3102/0034654312474350 · Cited by 1,143
Yorke, M. (2003) · Higher Education · doi:10.1023/a:1023967026413 · Cited by 973
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
Interpretations of criteria‐based assessment and grading in higher education
Sadler *, D. R. (2005) · Assessment & Evaluation in Higher Education · doi:10.1080/0260293042000264262 · Cited by 601
Digital support for academic writing: A review of technologies and pedagogies
Strobl, C., Ailhaud, E., Benetos, K., Devitt, A., Kruse, O., Proske, A., & Rapp, C. (2019) · Computers & Education · doi:10.1016/j.compedu.2018.12.005 · Cited by 298
Metadata
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2012-12-06
- OpenAlex
- W613815649
- Cited by
- 327
- References
- 0
- FWCI
- 28.15
- Type
- book
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Assessment for Learning in Higher Education. https://app.cochat.ai/papers/10.4324/9780203062074
- The paper
- Assessment for Learning in Higher Education. (2012). Routledge eBooks. https://doi.org/10.4324/9780203062074
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.