Seeing the unseen: Comparison study of representation approaches for biochemical processes in education.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 19 03 2023
accepted: 06 10 2023
medline: 8 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: epublish

Résumé

The representations of biochemical processes must balance visual portrayals with descriptive content to be an effective learning tool. To determine what type of representation is the most suitable for education, we designed five different representations of adenosine triphosphate (ATP) synthesis and examined how they are perceived. Our representations consisted of an overview of the process in a detailed and abstract illustrative format, continuous video formats with and without narration, and a combined illustrative overview with dynamic components. The five representations were evaluated by non-experts who were randomly assigned one of them and experts who viewed and compared all five representations. Subsequently, we conducted a focus group on the outcomes of these evaluations, which gave insight into possible explanations of our results, where the non-experts preferred the detailed static representation and found the narrated video least helpful, in contradiction to the experts who favored the narrated video the most.

Identifiants

pubmed: 37930950
doi: 10.1371/journal.pone.0293592
pii: PONE-D-23-05353
pmc: PMC10627439
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0293592

Informations de copyright

Copyright: © 2023 Pokojná et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Hana Pokojná (H)

Department of Visual Computing, Masaryk University, Brno, Czech Republic.

Barbora Kozlíková (B)

Department of Visual Computing, Masaryk University, Brno, Czech Republic.

Drew Berry (D)

Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.

Simone Kriglstein (S)

Department of Visual Computing, Masaryk University, Brno, Czech Republic.
AIT Austrian Institute of Technology GmbH, Vienna, Austria.

Katarína Furmanová (K)

Department of Visual Computing, Masaryk University, Brno, Czech Republic.

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Classifications MeSH