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

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Summary
This summary is machine-generated.

This study shows that an introductory quantitative course-based undergraduate research experience (CURE) using halophilic microbes improved students' quantitative biology skills and attitudes. The CURE fostered greater interest in further quantitative biology studies.

Keywords:
CUREeducationlogistic growth curve analysismathematical modelingmicrobial culturingmicrobial diversitymicrobiome

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Area of Science:

  • Microbiology
  • Quantitative Biology
  • Science Education

Background:

  • Undergraduate biology students possess varied quantitative skills and attitudes toward mathematics.
  • Course-based undergraduate research experiences (CUREs) offer a potential avenue to enhance quantitative competency and positive attitudes early in academic careers.

Purpose of the Study:

  • To design, implement, and assess an introductory quantitative CURE focused on halophilic microbes.
  • To evaluate the impact of the CURE on students' academic plans and attitudes toward mathematics in biology.

Main Methods:

  • Students cultured and isolated halophilic microbes from environmental and food samples.
  • Growth assays were performed, followed by mathematical modeling to quantify microbial growth rates across different salinities.
  • Pre- and post-quarter surveys assessed changes in students' attitudes and future academic intentions.

Main Results:

  • Students demonstrated more positive attitudes toward science learning after completing the CURE.
  • Participants showed increased interest in pursuing additional quantitative biology experiences.
  • The integration of microbiology methods with mathematical modeling using student data enhanced quantitative learning relevance and engagement.

Conclusions:

  • An introductory quantitative CURE utilizing halophilic microbes effectively improved students' quantitative skills and fostered positive attitudes towards mathematics in biology.
  • This CURE model, combining hands-on microbiology with mathematical modeling, enhances student ownership, collaboration, and discovery in quantitative biology.
  • The findings suggest that CUREs are valuable for making quantitative biology accessible and exciting for undergraduate students.