J 2023

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

POKOJNÁ, Hana, Barbora KOZLÍKOVÁ, Drew BERRY, Simone KRIGLSTEIN, Katarína FURMANOVÁ et. al.

Basic information

Original name

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

Authors

POKOJNÁ, Hana (703 Slovakia, guarantor, belonging to the institution), Barbora KOZLÍKOVÁ (203 Czech Republic, belonging to the institution), Drew BERRY, Simone KRIGLSTEIN (40 Austria, belonging to the institution) and Katarína FURMANOVÁ (703 Slovakia, belonging to the institution)

Edition

PLoS ONE, 2023, 1932-6203

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Estonia

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.700 in 2022

RIV identification code

RIV/00216224:14330/23:00132417

Organization unit

Faculty of Informatics

UT WoS

001099911400003

Keywords in English

Biochemical processes;abstraction;education;comparative study
Změněno: 5/9/2024 15:36, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

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.

Links

MUNI/A/1339/2022, interní kód MU
Name: Rozvoj technik pro zpracování dat pro podporu vyhledávání, analýz a vizualizací rozsáhlých datových souborů s využitím umělé inteligence
Investor: Masaryk University, Development of data processing techniques to support search, analysis and visualization of large datasets using artificial intelligence