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Crowdsourcing in health professions education: What radiography educators can learn from other disciplines

St John-Matthews, J.; Newton, P. M.; Grant, A. J.; Robinson, L.

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Authors

P. M. Newton

A. J. Grant

L. Robinson



Abstract

© 2018 Objectives: Crowdsourcing works through an institution outsourcing a function normally performed by an employee or group of individuals. Within a crowdsource users, known as the crowd, form a community who voluntarily undertake a task which involves the pooling of knowledge resources. A literature review was undertaken to identify how the tool is being used in health professions education, and potential for use in radiography education. Key Findings: 17 papers were returned. Literature identified was assessed against an established crowdsourcing definition. Reviewing these yielded four themes for discussion: student selection procedures, lesson planning, teaching materials and assessment. Conclusion: Crowdsourcing is associated with innovative activities through collective solution seeking via a large network of users. It is increasingly being adopted in healthcare training and maybe transferable to educational activities within the field of radiography education.

Citation

St John-Matthews, J., Newton, P. M., Grant, A. J., & Robinson, L. (2019). Crowdsourcing in health professions education: What radiography educators can learn from other disciplines. Radiography, 25(2), 164-169. https://doi.org/10.1016/j.radi.2018.11.006

Journal Article Type Review
Acceptance Date Nov 16, 2018
Online Publication Date Dec 11, 2018
Publication Date May 1, 2019
Publicly Available Date Dec 12, 2019
Journal Radiography
Print ISSN 1078-8174
Electronic ISSN 1532-2831
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 25
Issue 2
Pages 164-169
DOI https://doi.org/10.1016/j.radi.2018.11.006
Keywords crowdsourcing, wisdom, teaching
Public URL https://uwe-repository.worktribe.com/output/846451
Publisher URL https://doi.org/10.1016/j.radi.2018.11.006
Additional Information Additional Information : This is the accepted manuscript. The final published version is available here: https://doi.org/10.1016/j.radi.2018.11.006

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