Joseph Esquibel, Deborah L Rook, Sondra M LoRe, John H Starnes, Jillian M Miller, Jennifer G Buntz, Alys Hugo, Christianne B Nieuwsma, Heather Seitz, Ahrash Bissell, Louis Gross, Stacey Kiser, Suzanne Lenhart, Michael A Mills, Claudia Neuhauser, Irene Corriette, Sarah Prescott, Kristin P Jenkins, Vedham Karpakakunjaram
{"title":"社区学院的数量生物学,一个专注于提高学生数量和数量技能的生物学和数学教师网络。","authors":"Joseph Esquibel, Deborah L Rook, Sondra M LoRe, John H Starnes, Jillian M Miller, Jennifer G Buntz, Alys Hugo, Christianne B Nieuwsma, Heather Seitz, Ahrash Bissell, Louis Gross, Stacey Kiser, Suzanne Lenhart, Michael A Mills, Claudia Neuhauser, Irene Corriette, Sarah Prescott, Kristin P Jenkins, Vedham Karpakakunjaram","doi":"10.1187/cbe.21-09-0244","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":56321,"journal":{"name":"Cbe-Life Sciences Education","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/5a/ad/cbe-22-ar16.PMC10228270.pdf","citationCount":"1","resultStr":"{\"title\":\"Quantitative Biology at Community Colleges, a Network of Biology and Mathematics Faculty Focused on Improving Numerical and Quantitative Skills of Students.\",\"authors\":\"Joseph Esquibel, Deborah L Rook, Sondra M LoRe, John H Starnes, Jillian M Miller, Jennifer G Buntz, Alys Hugo, Christianne B Nieuwsma, Heather Seitz, Ahrash Bissell, Louis Gross, Stacey Kiser, Suzanne Lenhart, Michael A Mills, Claudia Neuhauser, Irene Corriette, Sarah Prescott, Kristin P Jenkins, Vedham Karpakakunjaram\",\"doi\":\"10.1187/cbe.21-09-0244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Mastery of quantitative skills is increasingly critical for student success in life sciences, but few curricula adequately incorporate quantitative skills. 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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 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.
期刊介绍:
CBE—Life Sciences Education (LSE), a free, online quarterly journal, is published by the American Society for Cell Biology (ASCB). The journal was launched in spring 2002 as Cell Biology Education—A Journal of Life Science Education. The ASCB changed the name of the journal in spring 2006 to better reflect the breadth of its readership and the scope of its submissions.
LSE publishes peer-reviewed articles on life science education at the K–12, undergraduate, and graduate levels. The ASCB believes that learning in biology encompasses diverse fields, including math, chemistry, physics, engineering, computer science, and the interdisciplinary intersections of biology with these fields. Within biology, LSE focuses on how students are introduced to the study of life sciences, as well as approaches in cell biology, developmental biology, neuroscience, biochemistry, molecular biology, genetics, genomics, bioinformatics, and proteomics.