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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7711920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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