365
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Analysing the cognitive rigor of interprofessional curriculum using the Depth of Knowledge framework

, &
Pages 529-532 | Received 01 Mar 2015, Accepted 21 Mar 2017, Published online: 09 May 2017
 

ABSTRACT

Interprofessional collaborative practice is widely documented as a strategy to improve quality of healthcare. To develop collaborative practitioners, educators need interprofessional curricula with proper cognitive demand and methods of delivery and assessment. The University of the Western Cape in South Africa incorporated an Interprofessional Core Courses Curriculum for all undergraduate students enrolled in the health sciences faculty. The objective of this study was to analyse the curriculum content to determine its cognitive rigor. Cognitive rigor can be measured by the quantitative content analysis method using the Depth of Knowledge (DOK) framework. This approach tests whether the rigor of instructional activities and assessments is aligned with learning outcomes. The curriculum content evaluated in this study found that assessment activities were less demanding than instructional activities and infrequently aligned with learning outcomes. This approach may be useful to other educators seeking to evaluate and plan interprofessional curriculum.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.

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 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,151.00 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.