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    Value of Mistakes. Making Mistakes Using R
    This module allows students to frame mistakes and frustrations during their first introduction to R in terms of improved learning and growth mindset.
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    Value of Mistakes
    This module familiarizes students with brain research describing our physiological response to mistakes, and how making mistakes is a useful part of learning.
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    2006-Juska-Gedminiene-Ivanec-Growth of Microbial Populations-Mathematical Modeling-Laboratory Exercises-Model-Based Data Analysis
    The aim is to teach the students to use a fresh approach to the problems they are familiar with, to come up with an articulate verbal model after a mental effort, to express it in rigorous...
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    1-038-Ebola-ModelingScenario
    Students will use data published by the World Health Organization to model the 2014 outbreak of the Ebola virus in West Africa. We begin with a simple exponential growth model and move through the...
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    Growth Mindset Prompt
    Before giving an introduction to growth mindset, these prompts can be given to students so they can brainstorm activities they associate with long hours of practice (growth mindset) vs. natural...
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    2011-Teleken-EtAl-Mathematical modeling of microbial growth in milk
    A mathematical model to predict microbial growth in milk was developed and analyzed. The model consists of a system of two differential equations of first order. The equations are based on physical...
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    Comparing the Effect of Manure Compost vs. Fertilizer on the Growth of Raphanus sativus
    Manure compost is an organic fertilizer made up of manure or natural nitrogen contents, and typically only supplies crops with nitrogen. Synthetic fertilizer is a man-made compound mixture made...

    Keywords: agricultureplants

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    2000-Armson-Cockroft-Stone-Modelling a barnacle goose population
    This paper explores a number of models for the growth of a barnacle goose population. These geese spend their summers breeding in Spitsbergen and then winter in Caerlaverock on the Solway Firth....
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    1-102C-CancerGrowth-ModelingScenario
    This module guides students in the use of differential equation models to predict cancer growth and study treatment outcomes. Several classical models for cancer growth are presented including...
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    A Comparison of the Water Quality Between Chinatown and Bayside: Two Demographically Different Regions in NYC
    Being Published in Journal of Emerging Investigators: In this research paper, we will be comparing the water quality in Chinatown –an area with a majority poor Asian population– and Bayside –a...
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    RAT ATTACK! Population growth
    This module contains exercises focused on the use and interpretation of density independent and density dependent population growth models. Students build logistic and exponential growth models in...
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    EQUITY, SOCIAL JUSTICE AND BIOLOGY: DEMYSTIFYING RACE WITH GENETICS OF HUMAN SKIN COLOR
    Poster on a case study on the genetics of human skin color presented at the 2018 QUBES/BioQUEST Summer Workshop
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    Demography from physical cemeteries, "virtual cemeteries," and census data
    Laboratory experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 8
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    SCORE-UBE Final Evaluation Report
    Final evaluation report for the NSF funded RCN-SCORE Network which aimed to support members tackle shared issues in sustaining OER and OEP. The growth of the network continued to grow through...

    Keywords: STEM Evaluation

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    Plant Cell Expansion and Plant Hormones
    This module introduces the cell enlargement model in the context of understanding plant hormones' effects. It is intended for an introductory biology audience.
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    MathBench Population Dynamics Module Activity
    The resource accompanies the Mystery of the Missing Housefly Population Dynamics MathBench module which explores exponential and logistic growth models. Students explore the assumptions of the...
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    1-081-TumorGrowth-ModelingScenario
    Students will transform, solve, and interpret a tumor growth scenario using non-linear differential equation models. Two population growth models (Gompertz and logistic) are applied to model tumor...
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    1-102-CancerTumor-ModelingScenario
    This module guides students in the use of differential equation models to predict cancer growth and optimize treatment outcomes. Several classical models for cancer growth are studied, including ...
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    1-170-CensusModeling-ModelingScenario
    Students who have studied models for population are likely to be familiar with the exponential and the logistic population models. The goal here is to explore the role of modeling assumptions in...
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    A Letter to a Young Scientist: Prompting Students To Reflect On And Recognize Their Own Growth As Scientists
    This activity is designed to prompt students to reflect on and recognize their own growth as scientists and, consequently, may help develop student self-efficacy and science identity.
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