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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.
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.
Afiliação
  • Esquibel J; Science Department, Lansing Community College, Lansing, MI 48933.
  • Rook DL; BioQUEST Curriculum Consortium, Raymond, NH 03077.
  • LoRe SM; Center for Academic Research and Excellence (CARE), Chattanooga State Community College, Chattanooga, TN 37406.
  • Starnes JH; Mathematics and Sciences Department, Southcentral Kentucky Community & Technical College, Bowling Green, KY 42101.
  • Miller JM; Mathematics Department, Roane State Community College, Harriman, TN 37748.
  • Buntz JG; Biology Department, Central New Mexico Community College, Albuquerque, NM 87106.
  • Hugo A; Mathematics Department, Everett Community College, Everett, WA 98201.
  • Nieuwsma CB; **Mathematics Division, Paradise Valley Community College, Phoenix, AZ 85032.
  • Seitz H; Science Division, Johnson County Community College, Overland Park, KS 66220.
  • Bissell A; The NROC Project, Carmel, CA 93922.
  • Gross L; National Institute for Mathematical and Biological Synthesis (NIMBioS), and.
  • Kiser S; Science, Mathematics, and Engineering Division, Lane Community College, Eugene, OR 97405.
  • Lenhart S; Mathematics Department, University of Tennessee, Knoxville, TN 37996.
  • Mills MA; E-Learning, Innovation and Teaching Excellence and.
  • Neuhauser C; ***Division of Research, Mathematics, University of Houston, Houston, TX 77204.
  • Corriette I; Mathematics Department, Santa Fe College, Gainesville, FL 32606.
  • Prescott S; BioQUEST Curriculum Consortium, Raymond, NH 03077.
  • Jenkins KP; BioQUEST Curriculum Consortium, Raymond, NH 03077.
  • Karpakakunjaram V; Biology Department, Montgomery College, Rockville, MD 20850.
CBE Life Sci Educ ; 22(2): ar16, 2023 06.
Article em En | MEDLINE | ID: mdl-36862803
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes / Docentes Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes / Docentes Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article