VP collection may convey a hidden curriculum through unrepresentative demographics¶
Claim · All claims
Evidence · 1 study · designr2·q1
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? Unrepresentative VP collections may convey unintended messages to learners, analogous to how case demographics contradicted a formal multicultural curriculum in prior work. → Urresti-Gundlach M. 2017
Evidence¶
Urresti-Gundlach M. 2017¶
Urresti-Gundlach M., Tolks D., Kiessling C., Wagner-Menghin M., Härtl A., Hege I. (2017). Do virtual patients prepare medical students for the real world? Development and application of a framework to compare a virtual patient collection with population data. BMC Medical Education. https://doi.org/10.1186/s12909-017-1013-1
q1 · i? · design · r2
Author interpretation drawing on Turbes et al.'s finding that case example demographics can contradict a formal curriculum. The article states that "authors and curriculum managers should be aware of the “hidden curriculum"" in unrepresentative VP collections.
"Additionally, authors and curriculum managers should be aware of the “hidden curriculum” and the possibility of conveying unintended messages by creating unrepresentative VP collections as described by Turbes et al. [16]."
Discussion¶
Related Claims¶
- VP collection underrepresents disability, migration background, and unemployment relative to the German population
- Schools and teachers unintentionally communicate identity messages to adolescents through the hidden curriculum — a broader claim this one bears on
- Learning happens across formal, non-formal and informal settings, face-to-face and online — a broader claim this one bears on
- VP diagnoses and disease onset are broadly comparable to German healthcare data — related
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