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Integrating Interactive Computational Modeling in Biology Curricula

While the use of computer tools to simulate complex processes such as computer circuits is normal practice in fields like engineering, the majority of life sciences/biological sciences courses continue to rely on the traditional textbook and memorization approach. To address this issue, we explored...

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Detalles Bibliográficos
Autores principales: Helikar, Tomáš, Cutucache, Christine E., Dahlquist, Lauren M., Herek, Tyler A., Larson, Joshua J., Rogers, Jim A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4366374/
https://www.ncbi.nlm.nih.gov/pubmed/25790483
http://dx.doi.org/10.1371/journal.pcbi.1004131
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author Helikar, Tomáš
Cutucache, Christine E.
Dahlquist, Lauren M.
Herek, Tyler A.
Larson, Joshua J.
Rogers, Jim A.
author_facet Helikar, Tomáš
Cutucache, Christine E.
Dahlquist, Lauren M.
Herek, Tyler A.
Larson, Joshua J.
Rogers, Jim A.
author_sort Helikar, Tomáš
collection PubMed
description While the use of computer tools to simulate complex processes such as computer circuits is normal practice in fields like engineering, the majority of life sciences/biological sciences courses continue to rely on the traditional textbook and memorization approach. To address this issue, we explored the use of the Cell Collective platform as a novel, interactive, and evolving pedagogical tool to foster student engagement, creativity, and higher-level thinking. Cell Collective is a Web-based platform used to create and simulate dynamical models of various biological processes. Students can create models of cells, diseases, or pathways themselves or explore existing models. This technology was implemented in both undergraduate and graduate courses as a pilot study to determine the feasibility of such software at the university level. First, a new (In Silico Biology) class was developed to enable students to learn biology by “building and breaking it” via computer models and their simulations. This class and technology also provide a non-intimidating way to incorporate mathematical and computational concepts into a class with students who have a limited mathematical background. Second, we used the technology to mediate the use of simulations and modeling modules as a learning tool for traditional biological concepts, such as T cell differentiation or cell cycle regulation, in existing biology courses. Results of this pilot application suggest that there is promise in the use of computational modeling and software tools such as Cell Collective to provide new teaching methods in biology and contribute to the implementation of the “Vision and Change” call to action in undergraduate biology education by providing a hands-on approach to biology.
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spelling pubmed-43663742015-03-23 Integrating Interactive Computational Modeling in Biology Curricula Helikar, Tomáš Cutucache, Christine E. Dahlquist, Lauren M. Herek, Tyler A. Larson, Joshua J. Rogers, Jim A. PLoS Comput Biol Education While the use of computer tools to simulate complex processes such as computer circuits is normal practice in fields like engineering, the majority of life sciences/biological sciences courses continue to rely on the traditional textbook and memorization approach. To address this issue, we explored the use of the Cell Collective platform as a novel, interactive, and evolving pedagogical tool to foster student engagement, creativity, and higher-level thinking. Cell Collective is a Web-based platform used to create and simulate dynamical models of various biological processes. Students can create models of cells, diseases, or pathways themselves or explore existing models. This technology was implemented in both undergraduate and graduate courses as a pilot study to determine the feasibility of such software at the university level. First, a new (In Silico Biology) class was developed to enable students to learn biology by “building and breaking it” via computer models and their simulations. This class and technology also provide a non-intimidating way to incorporate mathematical and computational concepts into a class with students who have a limited mathematical background. Second, we used the technology to mediate the use of simulations and modeling modules as a learning tool for traditional biological concepts, such as T cell differentiation or cell cycle regulation, in existing biology courses. Results of this pilot application suggest that there is promise in the use of computational modeling and software tools such as Cell Collective to provide new teaching methods in biology and contribute to the implementation of the “Vision and Change” call to action in undergraduate biology education by providing a hands-on approach to biology. Public Library of Science 2015-03-19 /pmc/articles/PMC4366374/ /pubmed/25790483 http://dx.doi.org/10.1371/journal.pcbi.1004131 Text en © 2015 Helikar et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Education
Helikar, Tomáš
Cutucache, Christine E.
Dahlquist, Lauren M.
Herek, Tyler A.
Larson, Joshua J.
Rogers, Jim A.
Integrating Interactive Computational Modeling in Biology Curricula
title Integrating Interactive Computational Modeling in Biology Curricula
title_full Integrating Interactive Computational Modeling in Biology Curricula
title_fullStr Integrating Interactive Computational Modeling in Biology Curricula
title_full_unstemmed Integrating Interactive Computational Modeling in Biology Curricula
title_short Integrating Interactive Computational Modeling in Biology Curricula
title_sort integrating interactive computational modeling in biology curricula
topic Education
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4366374/
https://www.ncbi.nlm.nih.gov/pubmed/25790483
http://dx.doi.org/10.1371/journal.pcbi.1004131
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