Combining Microbial Culturing With Mathematical Modeling in an Introductory Course-Based Undergraduate Research Experience

Robert E. Furrow, Hyunsoo G. Kim, Samah M.R. Abdelrazek, Katherine Dahlhausen, Andrew I. Yao, Jonathan A. Eisen, Mark S. Goldman, John G. Albeck, Marc T. Facciotti

Research output: Contribution to journalArticlepeer-review

Abstract

Quantitative techniques are a critical part of contemporary biology research, but students interested in biology enter college with widely varying quantitative skills and attitudes toward mathematics. Course-based undergraduate research experiences (CUREs) may be an early way to build student competency and positive attitudes. Here we describe the design, implementation, and assessment of an introductory quantitative CURE focused on halophilic microbes. In this CURE, students culture and isolate halophilic microbes from environmental and food samples, perform growth assays, then use mathematical modeling to quantify the growth rate of strains in different salinities. To assess how the course may impact students’ future academic plans and attitudes toward the use of math in biology, we used pre- and post-quarter surveys. Students who completed the course showed more positive attitudes toward science learning and an increased interest in pursuing additional quantitative biology experiences. We argue that the classroom application of microbiology methods, combined with mathematical modeling using student-generated data, provides a degree of student ownership, collaboration, iteration, and discovery that makes quantitative learning both relevant and exciting to students.

Original languageEnglish (US)
Article number581903
JournalFrontiers in Microbiology
Volume11
DOIs
StatePublished - Nov 6 2020

Keywords

  • CURE
  • education
  • logistic growth curve analysis
  • mathematical modeling
  • microbial culturing
  • microbial diversity
  • microbiome

ASJC Scopus subject areas

  • Microbiology
  • Microbiology (medical)

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