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    Introduction to Growth Mindset
    This module introduces students to the research supporting ‘growth mindset,’ the idea that you can increase your brainpower and ability through effort
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    Introduction to Growth Mindset
    This module introduces students to the research supporting ‘growth mindset,’ the idea that you can increase your brainpower and ability through effort
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    Essay to students about the fallacy of fixed math ability
    Essay written in 2014 for freshmen in an intro bio course on the fallacy of fixed math ability
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    Introduction to Growth Mindset - Teaching Notes
    I used this resource as-is. Included are my teaching notes.
 This module introduces students to the research supporting ‘growth mindset,’ the idea that you can increase your brainpower and...
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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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    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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    Introduction to Growth Mindset - Teaching Notes - Boersma
    Teaching notes from my use of BIOMAAP Growth Mindset teaching materials in my 300 level Ecology class for majors.
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    Growth Mindset teacher notes_Highlander
    Highlander's teaching notes
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    Adapted Value of Mistakes
    This module is adapted from BIOMAAP materials on the value of mistakes and application of growth mindset in a microbiology lab.
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    Frayer model growth mindset
    A Frayer model worksheet for the concept of 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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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network
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    Are you learning R? Suggestions to help you as you learn.
    Learning how to code and analyze data in R is an important skill. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource to encourage individuals who are...

    Keywords: R code

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    Intro to BIOMAAP - Student Math Anxiety Overview
    This presentation is intended as a stand alone 45 minutes-1 hour presentation to give students general information on math anxiety and a few strategies to try on their own.
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    Measuring Size and Area of Digitized Specimens using ImageJ
    Use ImageJ to analyze morphological characters in digital images of natural history specimens. Skills are transferable to many organisms and other morphological measurements.
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    Intro to BIOMAAP - Student Math Anxiety Overview
    This presentation is intended as a stand alone 45 minutes-1 hour presentation to give students general information on math anxiety and a few strategies to try on their own.
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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    Using the Project EDDIE Sustainability Metrics module in Exploring Earth
    Students use GapMinder, an interactive data exploration and visualization tool, to assess human impact on Earth systems. Using the impact = population x affluence x technology (IPAT) framework...
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