Abstract

While the use of computer tools to simulate complex processes such as computer circuits is normal practice in fields like engineering, the majority of life sciences/biological sciences courses continue to rely on the traditional textbook and memorization approach. To address this issue, we explored the use of the Cell Collective platform as a novel, interactive, and evolving pedagogical tool to foster student engagement, creativity, and higher-level thinking. Cell Collective is a Web-based platform used to create and simulate dynamical models of various biological processes. Students can create models of cells, diseases, or pathways themselves or explore existing models. This technology was implemented in both undergraduate and graduate courses as a pilot study to determine the feasibility of such software at the university level. First, a new (In Silico Biology) class was developed to enable students to learn biology by “building and breaking it” via computer models and their simulations. This class and technology also provide a non-intimidating way to incorporate mathematical and computational concepts into a class with students who have a limited mathematical background. Second, we used the technology to mediate the use of simulations and modeling modules as a learning tool for traditional biological concepts, such as T cell differentiation or cell cycle regulation, in existing biology courses. Results of this pilot application suggest that there is promise in the use of computational modeling and software tools such as Cell Collective to provide new teaching methods in biology and contribute to the implementation of the “Vision and Change” call to action in undergraduate biology education by providing a hands-on approach to biology.

Highlights

  • The enormous complexity that recent research has revealed in biological and biochemical systems has resulted in the emergence of mathematical modeling and computer simulations as an integral part of biomedical research

  • We explored the use of the Cell Collective platform as a novel, interactive, and evolving pedagogical tool to foster student engagement, creativity, and higher-level thinking

  • Given the fact that the field is undergoing a shift in the basic way the functions of these dynamical systems/networks are understood, it is essential for biology education to evolve in order to reflect these changes [4,5]

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Summary

Introduction

The enormous complexity that recent research has revealed in biological and biochemical systems has resulted in the emergence of mathematical modeling and computer simulations as an integral part of biomedical research. The first is using Cell Collective in a dedicated course (In Silico Biology) designed around the use of the technology, and the second involves introducing the technology as a supplement to existing, traditional biology courses Both applications have been subjected to initial testing in a variety of undergraduate settings, and the results indicate that both methods were successful in increasing both understanding of and enthusiasm for complex biological systems in undergraduate student populations. Students are introduced to Cell Collective, and are expected to create and simulate a simple pathway model such as the one illustrated, as well as to model the regulatory dynamics of the researched enzyme With this approach, the students learn how to read and critically analyze primary journal articles

Introduction to the dynamics of biological systems via computational modeling
Outcomes and Discussion
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