5,041
Views
106
CrossRef citations to date
0
Altmetric
Articles

Staff student partnership in assessment: enhancing assessment literacy through democratic practices

&
Pages 463-477 | Published online: 29 Dec 2015
 

Abstract

In recent years, research and practice focused on staff and students working in partnership to co-design learning and teaching in higher education has increased. However, within staff–student partnerships a focus on assessment is relatively uncommon, with fewer examples evident in the literature. In this paper, we take the stance that all assessment can be oriented for learning, and that students’ learning is enhanced by improving their level of assessment literacy. A small study in a Scottish university was undertaken that involved a range of different adaptations to assessment and feedback, in which students were invited to become partners in assessment. We argue that a partnership approach, designed to democratise the assessment process, not only offered students greater agency in their own and their peers’ learning, but also helped students to enhance their assessment literacy. Although staff and students reported experiencing a sense of risk, there was immense compensation through increased motivation, and a sense of being part of an engaged learning community. Implications for partnership in assessment are discussed and explored further. We assert that adopting staff–student partnership in assessment and more democratic classroom practices can have a wide range of positive benefits.

Disclosure statement

No potential conflict of interest was reported by the authors.

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 830.00 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.