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Carrying BioMath education in a Leaky Bucket.
James A Powell1, Brynja R Kohler, James W Haefner
1Department of Mathematics and Statistics, Utah State University, Logan, UT 84322-3900, USA. Jim.Powell@usu.edu
Bulletin of Mathematical Biology
|July 7, 2012
Summary
This project-based math lab teaches students applied biomathematics by modeling water draining from containers. It effectively boosts high-level cognition and confidence in data-driven problem-solving.
Area of Science:
- Applied Mathematics
- Biology Education
- Biomathematics
Background:
- Traditional math courses often lack real-world biological applications.
- Students need hands-on experience with mathematical modeling in biological contexts.
- Developing quantitative skills is crucial for modern biology students.
Purpose of the Study:
- To introduce a project-based mathematical lab, the Leaky Bucket Lab, into an Applied Mathematics in Biology course.
- To enable students to test physical laws (Torricelli's law) and develop alternative mathematical models for biological systems.
- To assess the pedagogical effectiveness of the Biology-Applied Math Instructional Model in fostering student cognition.
Main Methods:
- Implementation of the Leaky Bucket Lab focusing on fluid dynamics and mathematical modeling.
- Students parameterized and tested Torricelli's law using real-world data.
- Analysis of student-developed analytical approaches and classroom videography for pedagogical assessment.
Main Results:
- Students successfully parameterized Torricelli's law and developed alternative models for water drainage.
- The lab fostered creativity and confidence in applying biomathematical tools in data-driven scenarios.
- Classroom videography supported the effectiveness of the Biology-Applied Math Instructional Model in promoting high-level cognition.
Conclusions:
- The Leaky Bucket Lab is an effective tool for teaching applied biomathematics and modeling.
- The Biology-Applied Math Instructional Model enhances student engagement and cognitive development in quantitative biology.
- This project-based approach encourages innovative problem-solving and prepares students for data-driven biological research.

