Biostatistics Disruptive Acculturation Through Serious Gaming: A New Hope.

Bio-statistics Serious games “Data Interpretation, Statistical” “Education, Public Health Professional” “Games, Experimental” “Schools, Medical”

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
16 Jun 2020
Historique:
entrez: 24 6 2020
pubmed: 24 6 2020
medline: 21 8 2020
Statut: ppublish

Résumé

Biostatistics is one of the transversal subjects that all future doctors must acquire and master. Nonetheless, it is a subject that has the reputation of being difficult, which has not been able to be corrected even with the application of new pedagogical methods such as blended learning. We address this problem with our acculturative and disruptive approach in the form of a serious game scenario in clinical research that integrates biostatistics with our R4Web adapted tools. Our approach was launched in 2008 for the second year of medical school. Here we describe this LOE scenario for serious game including the biostatistics disruptive acculturation task and present its new international version.

Identifiants

pubmed: 32570586
pii: SHTI200369
doi: 10.3233/SHTI200369
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1215-1216

Auteurs

Pierre Gillois (P)

CNRS / TIMC-IMAG Lab., UMR 5525 (Themas), Grenoble-Alpes University, France.

Lionel Di Marco (L)

CNRS / TIMC-IMAG Lab., UMR 5525 (Themas), Grenoble-Alpes University, France.

Josep M Nicolàs (JM)

IDIBAPS, University of Barcelona, Barcelona, Spain.

Alexandre Moreau-Gaudry (A)

CNRS / TIMC-IMAG Lab., UMR 5525 (Themas), Grenoble-Alpes University, France.

Anne Ego (A)

CNRS / TIMC-IMAG Lab., UMR 5525 (Themas), Grenoble-Alpes University, France.

Sandra David-Tchouda (S)

CNRS / TIMC-IMAG Lab., UMR 5525 (Themas), Grenoble-Alpes University, France.

Donald K Martin (DK)

CNRS / TIMC-IMAG Lab., UMR 5525 (SyNaBi), Grenoble-Alpes University, France.

Jean-Luc Bosson (JL)

CNRS / TIMC-IMAG Lab., UMR 5525 (Themas), Grenoble-Alpes University, France.

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Classifications MeSH