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    6-018-ExploringSIRModel-ModelingScenario
    Students will transform, solve, and interpret Susceptible Infected Recovered (SIR) models using systems of differential equation models. The project is progressively divided into three parts to...

    Keywords: population dynamicssensitivitydiseaseSIR modelsepidemicrumors

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    Got Milk? Biome 2021 Lightning Talk
    The Got Milk? working group plans to use lactase persistence evolution as a case study to teach genetics in large introductory biology courses. While developing these resources, we will be mindful...

    Keywords: geneticsintroductory biologyundergraduate researchundergraduate educationStudent misconceptionsbiasdiversitylactase persistenceraceBIOME 2021

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    UW Data Science for Social Good program
    The UW Data Science for Social Good (DSSG) program partners eScience Data Scientists and Student Fellows from across the country with Project Leads from academia, government, and the private sector...
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    State Apportionment Lesson Plans and Task
    Three secondary teachers and a mathematics education researcher planned two lessons and revised them through lesson study. The teachers adapted the State Apportionment Task from the Mathematical...

    Keywords: votingproportional reasoning

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    Intro to BIOMAAP - Faculty Math Anxiety Overview
    This presentation is intended as a stand alone 45 minute-1 hour presentation to introduce faculty or other instructors to the idea of math anxiety and some strategies they can use in their own...

    Keywords: math attitudesResources @ BIOMAAP

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    Assessment
    This can be given at the beginning and end of the BIOMAAP program, in order to measure student changes in math anxiety.

    Keywords: surveymath attitudesResources @ BIOMAAP

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    Exploring Fundamental Concepts of Phage Immunity Systems: A jigsaw activity
    This jigsaw assignment is designed to increase students’ understanding of phage immunity systems
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    Escape Zoom!: Reviewing Introductory Evolution Content Using an Escape Room Format
    Reviewing and integrating key concepts and learning goals at the end of a biology course can be overwhelming to students and instructors alike. Often end-of-term review sessions in preparation for...

    Keywords: Evolutionartificial selectionSpeciationextinctionsexual selectionphylogenetic treesmechanisms of evolution

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    Tying it All Together: An Activity to Help Students Connect Course Experiences to Posted Learning Outcomes
    Instructors of undergraduate courses in Biology and other Science, Technology, Engineering, and Mathematics (STEM) disciplines face an ongoing challenge to foster higher-order thinking and learning...

    Keywords: metacognitionreflectiongoalsOutcomes

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    1-046-GoingViral-ModelingScenario
    Students participate in a simulation of the spread of a viral disease in the classroom and model the process with a logistic differential equation. The simulation uses random numbers and the entire...

    Keywords: simulationmathematical modeldatalogisticrandom number generatorfittingrandom process

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    Preparing Student Study Guides through Peer Collaboration in the Technological Era
    Incorporating active learning exercises into large lecture courses is particularly challenging, especially when it comes to examination preparation materials. Traditionally, study guides are used...

    Keywords: active learningDiscussionStudy Skills

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    2018-Vajravelu-Teaching Large DE Classes
    Practical problem solving in science and engineering programs require proficiency in mathematics. Improving student performance and retention in mathematics classes requires inventive approaches.

    Keywords: differential equationsLarge classlarge classroom

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    9-002-GroundWaterFlow-ModelingScenario
    The goals of this project are to compare a conceptual one-dimensional groundwater flow model to observations made in a laboratory setting, and to discuss the differences.

    Keywords: sgroundwater flowDarcy's Lawheat equationaquiferhydraulic headFourier's Lawsand tank

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    1-125-DiceyPopulation-ModelingScenario
    We offer students an opportunity to generate data for their team on a death and immigration model using 12 and 20 sided dice and then pass on the data to another student team for analysis with a...

    Keywords: simulationimmigrationdeathdice

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    9-125-BeamModeling-ModelingScenario
    This modeling scenario examines the deflection of a cantilever beam under two different distributed loads. Students will have the opportunity to conduct experiments with their own cantilever beam...

    Keywords: Fluid MechanicsbeamcantileverimpulseLaplace transformboundary conditionfourth order

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    Mental Health Opportunities for Professional Empowerment (HOPE) in STEM: Wellbeing, Support, and Social Connectedness
    The national conversation on the mental health, resilience, and well-being of graduate students has escalated across the higher education landscape. Within STEM disciplines, competition,...
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    Going from student to medical doctor. The pathway to medicine with Abel Edossa and Dr. Oluwatoyin Weaver
    In this "lunch with a Scientist" episode, we interviewed a medical student and medical doctor to help us understand the path to medicine. Becoming a medical doctor is a very daunting task but with...

    Keywords: medicine

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    1-005B-ChemDataCollection-ModelingScenario
    A chemistry graduate student is collecting data on a chemical reaction and does a poor job of collecting the data. Indeed, he only collects the data at the start and end of a number of three minute...

    Keywords: kineticslaboratoryorder of reactionchemical reactionchemical datainfusion

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    1-101-ClassMMDeathImmigration-ModelingScenario
    We offer students an opportunity to generate unique data for their team on a death and immigration model using m&m's and then pass on the data to another student team for analysis with a model they...

    Keywords: simulationimmigrationdata collectiondeath

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    1-141-MMGameRevisited-ModelingScenario
    It is assumed that the probability of an M&M chocolate, when tossed, falling on the M side is 0.5 The goal is to find a probability distribution of the probability q which is Pr(randomly chosen...

    Keywords: Probabilitystochastic processesBayesian methodsprobability distribution

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