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A model of the pre-assessment learning effects of summative assessment in medical education

Overview of attention for article published in Advances in Health Sciences Education, April 2011
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Title
A model of the pre-assessment learning effects of summative assessment in medical education
Published in
Advances in Health Sciences Education, April 2011
DOI 10.1007/s10459-011-9292-5
Pubmed ID
Authors

Francois J. Cilliers, Lambert W. T. Schuwirth, Nicoline Herman, Hanelie J. Adendorff, Cees P. M. van der Vleuten

Abstract

It has become axiomatic that assessment impacts powerfully on student learning. However, surprisingly little research has been published emanating from authentic higher education settings about the nature and mechanism of the pre-assessment learning effects of summative assessment. Less still emanates from health sciences education settings. This study explored the pre-assessment learning effects of summative assessment in theoretical modules by exploring the variables at play in a multifaceted assessment system and the relationships between them. Using a grounded theory strategy, in-depth interviews were conducted with individual medical students and analyzed qualitatively. Respondents' learning was influenced by task demands and system design. Assessment impacted on respondents' cognitive processing activities and metacognitive regulation activities. Individually, our findings confirm findings from other studies in disparate non-medical settings and identify some new factors at play in this setting. Taken together, findings from this study provide, for the first time, some insight into how a whole assessment system influences student learning over time in a medical education setting. The findings from this authentic and complex setting paint a nuanced picture of how intricate and multifaceted interactions between various factors in an assessment system interact to influence student learning. A model linking the sources, mechanism and consequences of the pre-assessment learning effects of summative assessment is proposed that could help enhance the use of summative assessment as a tool to augment learning.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Germany 1 <1%
Malaysia 1 <1%
Portugal 1 <1%
Cuba 1 <1%
Indonesia 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Unknown 272 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 44 16%
Student > Ph. D. Student 32 11%
Student > Postgraduate 24 9%
Researcher 20 7%
Lecturer 20 7%
Other 95 34%
Unknown 46 16%
Readers by discipline Count As %
Medicine and Dentistry 123 44%
Social Sciences 44 16%
Nursing and Health Professions 17 6%
Psychology 8 3%
Computer Science 8 3%
Other 34 12%
Unknown 47 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 January 2016.
All research outputs
#13,363,429
of 22,668,244 outputs
Outputs from Advances in Health Sciences Education
#534
of 849 outputs
Outputs of similar age
#80,023
of 108,827 outputs
Outputs of similar age from Advances in Health Sciences Education
#6
of 11 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 849 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 108,827 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.