436
Views
7
CrossRef citations to date
0
Altmetric
Research Article

Developing outcomes assessments for collaborative, cross-institutional benchmarking: Progress of the Australian Medical Assessment Collaboration

, , , &
Pages 139-147 | Published online: 30 Oct 2013
 

Abstract

Background: The Australian Medical Assessment Collaboration (AMAC) began in 2010. This article charts the development of the collaboration over its initial years.

Aims: AMAC was instigated as a way of improving the quality of medical education through the recognition of the need for tools for comparison and evaluation of learning outcomes, acknowledgement of the need for high quality assessment, and to share expertise in these areas. In a climate of increasing regulation and accountability, this collaboration was formed as a means of increasing assessment practices by, with and for medical schools.

Method: This article provides an overview of the background issues stimulating the development of AMAC, discussion of the formation of the collaboration and reflection on the lessons learnt through these processes.

Results: In a relatively short space of time, AMAC has fostered substantial collaboration among schools; developed an Assessment Framework, items and an online assessment; and provided benchmarking reports to students and schools.

Conclusion: The intention here is to provide guidance for others (within the medical education community and those in other disciplines) with similar intentions and aims, by outlining the developmental pathway of the project and the systematic lessons that the collaboration team has learnt in establishing AMAC.

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 771.00 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.