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Quantitative Biology at Community Colleges, a Network of Biology and Mathematics Faculty Focused on Improving Numerical and Quantitative Skills of Students

Mastery of quantitative skills is increasingly critical for student success in life sciences, but few curricula adequately incorporate quantitative skills. Quantitative Biology at Community Colleges (QB@CC) is designed to address this need by building a grassroots consortium of community college fac...

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Detalles Bibliográficos
Autores principales: Esquibel, Joseph, Rook, Deborah L., LoRe, Sondra M., Starnes, John H., Miller, Jillian M., Buntz, Jennifer G., Hugo, Alys, Nieuwsma, Christianne B., Seitz, Heather, Bissell, Ahrash, Gross, Louis, Kiser, Stacey, Lenhart, Suzanne, Mills, Michael A., Neuhauser, Claudia, Corriette, Irene, Prescott, Sarah, Jenkins, Kristin P., Karpakakunjaram, Vedham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Cell Biology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228270/
https://www.ncbi.nlm.nih.gov/pubmed/36862803
http://dx.doi.org/10.1187/cbe.21-09-0244
Descripción
Sumario:Mastery of quantitative skills is increasingly critical for student success in life sciences, but few curricula adequately incorporate quantitative skills. Quantitative Biology at Community Colleges (QB@CC) is designed to address this need by building a grassroots consortium of community college faculty to 1) engage in interdisciplinary partnerships that increase participant confidence in life science, mathematics, and statistics domains; 2) generate and publish a collection of quantitative skills–focused open education resources (OER); and 3) disseminate these OER and pedagogical practices widely, in turn expanding the network. Currently in its third year, QB@CC has recruited 70 faculty into the network and created 20 modules. Modules can be accessed by interested biology and mathematics educators in high school, 2-year, and 4-year institutions. Here, we use survey responses, focus group interviews, and document analyses (principles-focused evaluation) to evaluate the progress in accomplishing these goals midway through the QB@CC program. The QB@CC network provides a model for developing and sustaining an interdisciplinary community that benefits participants and generates valuable resources for the broader community. Similar network-building programs may wish to adopt some of the effective aspects of the QB@CC network model to meet their objectives.