551
Views
7
CrossRef citations to date
0
Altmetric
Articles

Identifying the characteristics of written formative feedback used by assessors in work-based qualifications

Pages 18-32 | Received 10 Feb 2012, Accepted 03 Aug 2012, Published online: 04 Oct 2012
 

Abstract

This article investigates whether the characteristics of feedback identified by the literature can be found within written assessment records for work and competence-based qualifications. It uses a brief literature review and analysis of the formative feedback within 257 learner portfolios. The characteristics identified by the literature are present with considerable variation between the categories. The decreasing frequency of specific written feedback found in portfolios at higher levels is consistent with the notion of increasing learner autonomy by level. Written feedback was generally task orientated, and whereas a clearly positive tone and the use of praise were fairly common, reference to the progress made or the proximity to a goal was not. However, the 257 portfolios were spread across many categories, limiting the analysis and generalisation of the findings. This article considers the commonly used formulae for calculating sample sizes and the challenges of data collection for categorical data. It considers clustering samples from similar qualifications and accepting higher margins of error, although the preferred option is the use of e-portfolios which negates the physical collection and input of data for coding.

Acknowledgements

Thank you to the centres who allowed access to their learners’ portfolios and to Andrew Boyle, Alison Matthews, Hubert Ertl, Mike Coles and Milja Curcin for their helpful comments.

Notes

1. This article does not necessarily reflect the City & Guilds’ views.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 337.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.