EDUC Posters

eSMB2020 eSMB2020 Follow 2:30 - 3:30pm, Monday - Wednesday
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  1. John R Jungck (EDUC)

    University of Delaware
    "Ethnomathematics: Art, Culture and Social Justice"
    To address the continuing need to engage students with how mathematics can contribute to issues of equity versus equality, civil rights, social justice, and the historical contributions to mathematics from cultures around the world, ethnomathematics educators have developed numerous educational materials. Activities from a recent course which applied mathematics such as fractals, tessellations, cellular automata, groups, symmetries, graph theory, and game theory will be illustrated with various student projects. I argue that by engaging students in “Brave Spaces” (see our Numeracy article) with mathematical tools and data, students will tackle difficult complex issues with minimal professorial facilitation.

  2. Rebecca Sanft, Anne Walter (EDUC)

    UNC Asheville
    "Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities"
    Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities, written collaboratively by a mathematician and biologist, provides supporting materials for a course taken simultaneously by students majoring in mathematics or computer science and those in the life sciences. The text is designed to actively engage students in the process of modeling through a collection of case studies and wet labs connecting mathematical models to real data. The supporting mathematical coding and biological background helps readers practice and build confidence in asking questions, formulating mathematical models, articulating model assumptions, estimating parameters, analyzing models, and interpreting the results. These skills can be applied in the case studies across multiple levels of organization and areas of biological inquiry. The labs reveal the practical issues of collecting data suitable for model formulation and validation. Moreover, collecting data in the context of a modeling course helps clarify experimental questions and design, and the model analysis often raises new research questions to explore. Through the case studies and labs, the reader will see the utility of models for understanding complex systems, making predictions, and identifying further questions.

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Virtual conference of the Society for Mathematical Biology, 2020.