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Connecting with Teachers through Modeling in Mathematical Biology
Padmanabhan Seshaiyer1, Suzanne Lenhart2
1Department of Mathematical Sciences, George Mason University, Fairfax, USA. pseshaiy@gmu.edu.
This study presents effective teaching and research practices for integrating mathematics and biology. Mathematical modeling transforms pedagogy, enhancing student learning and encouraging future study at the math-biology interface.
Area of Science:
- Interdisciplinary science education
- Mathematical biology
- Science, Technology, Engineering, and Mathematics (STEM) education
Background:
- Integrating mathematics and biology education is crucial for comprehensive student learning.
- Traditional pedagogical methods may not fully leverage the synergy between these disciplines.
- Effective strategies are needed to bridge the gap between mathematical concepts and biological applications.
Purpose of the Study:
- To describe effective teaching and research practices for integrating mathematics and biology.
- To highlight the role of mathematical modeling in transforming pedagogical approaches.
- To encourage students to explore careers at the intersection of mathematics and biology.
Main Methods:
- Implementing mathematical modeling activities in classrooms.
- Sharing modeling activities through professional development programs for teachers.
- Engaging teachers in research experiences focused on mathematical modeling.
Main Results:
- Mathematical modeling effectively transforms pedagogical practices in mathematics and biology education.
- Classroom implementation of modeling activities enhances student learning.
- Teacher engagement in research fosters innovative teaching strategies.
Conclusions:
- Effective integration of mathematics and biology through mathematical modeling enhances student learning across all educational levels.
- Professional development and research experiences are key to empowering teachers with interdisciplinary modeling skills.
- This approach cultivates student interest in pursuing studies and careers in the mathematics-biology interface.
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