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Abstract
Mathematics constitutes more than a computational tool in physics–it provides the fundamental structural framework for describing and understanding complex biological phenomena. This article presents a pedagogical framework based on the syntactic-semantic approach, emphasizing the role of mathematics as a foundational model that enables description, prediction, and discovery of biological phenomena. The research demonstrates how the integration of mathematics and physics together creates a multi-modal framework that allows biology students to understand complex phenomena such as population dynamics, molecular biophysics, and quantitative physiology.
Keywords
- mathematics as model
- multi-modal learning
- interdisciplinary learning
- quantitative biology
- mathematical modeling in biology
- systems biology
- descriptive power
- active learning
- molecular biophysics
- population dynamics
- Hodgkin-Huxley model
- Michaelis-Menten kinetics
- thermodynamics in biology
- statistical mechanics
License
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Review Article
EURASIA J Math Sci Tech Ed, Volume 22, Issue 1, January 2026, Article No: em2763
https://doi.org/10.29333/ejmste/17674
Publication date: 01 Jan 2026
Online publication date: 31 Dec 2025
Article Views: 39
Article Downloads: 18
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