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Testing of a Program to Automatically Analyze Students’ Concept Maps

Concept maps are graphical representations of how various concepts relate to one another. Assessment of concept maps developed by students in the pharmacy curriculum helps to evaluate student understanding of course material. However, providing feedback on concept maps can be time-consuming and ofte...

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Detalles Bibliográficos
Autores principales: Hubal, Robert, Bobbitt, Laura, Garfinkle, Sarah, Harris, Suzanne C., Powell, Brandon D., Oxley, Madison S., Anksorus, Heidi N., Chen, Kevin Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711920/
https://www.ncbi.nlm.nih.gov/pubmed/33171850
http://dx.doi.org/10.3390/pharmacy8040209
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author Hubal, Robert
Bobbitt, Laura
Garfinkle, Sarah
Harris, Suzanne C.
Powell, Brandon D.
Oxley, Madison S.
Anksorus, Heidi N.
Chen, Kevin Y.
author_facet Hubal, Robert
Bobbitt, Laura
Garfinkle, Sarah
Harris, Suzanne C.
Powell, Brandon D.
Oxley, Madison S.
Anksorus, Heidi N.
Chen, Kevin Y.
author_sort Hubal, Robert
collection PubMed
description Concept maps are graphical representations of how various concepts relate to one another. Assessment of concept maps developed by students in the pharmacy curriculum helps to evaluate student understanding of course material. However, providing feedback on concept maps can be time-consuming and often requires the grader to be a content expert. The purpose of this study was to develop and validate a software program to provide students with feedback on their concept map performance. Student maps for four different disease states were compared against expert concept maps. The analysis of the program compared favorably to a manual assessment of student maps for the maps’ complexity and content but did not correlate for their organization. The value of using a software program to quickly and efficiently analyze concept maps is discussed.
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spelling pubmed-77119202020-12-04 Testing of a Program to Automatically Analyze Students’ Concept Maps Hubal, Robert Bobbitt, Laura Garfinkle, Sarah Harris, Suzanne C. Powell, Brandon D. Oxley, Madison S. Anksorus, Heidi N. Chen, Kevin Y. Pharmacy (Basel) Article Concept maps are graphical representations of how various concepts relate to one another. Assessment of concept maps developed by students in the pharmacy curriculum helps to evaluate student understanding of course material. However, providing feedback on concept maps can be time-consuming and often requires the grader to be a content expert. The purpose of this study was to develop and validate a software program to provide students with feedback on their concept map performance. Student maps for four different disease states were compared against expert concept maps. The analysis of the program compared favorably to a manual assessment of student maps for the maps’ complexity and content but did not correlate for their organization. The value of using a software program to quickly and efficiently analyze concept maps is discussed. MDPI 2020-11-07 /pmc/articles/PMC7711920/ /pubmed/33171850 http://dx.doi.org/10.3390/pharmacy8040209 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hubal, Robert
Bobbitt, Laura
Garfinkle, Sarah
Harris, Suzanne C.
Powell, Brandon D.
Oxley, Madison S.
Anksorus, Heidi N.
Chen, Kevin Y.
Testing of a Program to Automatically Analyze Students’ Concept Maps
title Testing of a Program to Automatically Analyze Students’ Concept Maps
title_full Testing of a Program to Automatically Analyze Students’ Concept Maps
title_fullStr Testing of a Program to Automatically Analyze Students’ Concept Maps
title_full_unstemmed Testing of a Program to Automatically Analyze Students’ Concept Maps
title_short Testing of a Program to Automatically Analyze Students’ Concept Maps
title_sort testing of a program to automatically analyze students’ concept maps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711920/
https://www.ncbi.nlm.nih.gov/pubmed/33171850
http://dx.doi.org/10.3390/pharmacy8040209
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