4,800
Views
39
CrossRef citations to date
0
Altmetric
Articles

The implications of programme assessment patterns for student learning

&
Pages 990-999 | Published online: 02 Aug 2016
 

Abstract

Evidence from 73 programmes in 14 U.K universities sheds light on the typical student experience of assessment over a three-year undergraduate degree. A previous small-scale study in three universities characterised programme assessment environments using a similar method. The current study analyses data about assessment patterns using descriptive statistical methods, drawing on a large sample in a wider range of universities than the original study. Findings demonstrate a wide range of practice across programmes: from 12 summative assessments on one programme to 227 on another; from 87% by examination to none on others. While variations cast doubt on the comparability of U.K degrees, programme assessment patterns are complex. Further analysis distinguishes common assessment patterns across the sample. Typically, students encounter eight times as much summative as formative assessment, a dozen different types of assessment, more than three quarters by coursework. The presence of high summative and low formative assessment diets is likely to compound students’ grade-orientation, reinforcing narrow and instrumental approaches to learning. High varieties of assessment are probable contributors to student confusion about goals and standards. Making systematic headway to improve student learning from assessment requires a programmatic and evidence-led approach to design, characterised by dialogue and social practice.

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.