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  • Created 21 Jun 2018

This is a completed Faculty Mentoring Network (FMN). FMNs are sustained, immersive, community-based professional development opportunities for faculty. FMNs support the adaptation and implementation of materials and/or instructional approaches in their classrooms. Learn more about FMNs.

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Browse products from this FMN

Reducing Barriers to Teaching with R in Undergraduate Biology

Goals

  • Develop, implement, and share modules for teaching statistical and biological concepts in R with Swirl
  • Build a community of peer mentors

Mentors


Final Products

The lesson is designed to 1) teach students about the concept of logistic population growth, growth rates, and carrying capacity and 2) provide a basic introduction to ecological modeling and quantitative thinking in ecology (i.e., theoretical ecology)
introductory, Lab, Teaching material, Undergraduate, Majors, More than 1 hour
187
57
0
01.23.2019

Avian Censys Analysis

Darcy Taniguchi

Version: 1.0

This Swirl course uses ecological data of bird counts and habitat variables to estimate inter-observer variability and the relationship of birds with habitat variables.
ecology, regression, averages, error estimates, Lab, Teaching material, Undergraduate, Advanced, More than 1 hour
112
31
0
01.23.2019

Exploring the functionality of R

Austin Happel

Version: 1.0

Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
introductory, Teaching material, Lecture, Undergraduate, Majors, 1 Hour, More than 1 hour
126
49
0
01.23.2019

Evolutionary Ecophysiology swirl lesson

Nadia Aubin-Horth

Version: 1.0

Uses swirl to walk students through how to use R and analyze their own data.
introductory, Lab, Teaching material, Undergraduate, Majors, 1 Hour
106
23
0
01.23.2019

Binomial test

Stephen Gosnell

Version: 1.0

This lesson focused on introducing students to binomial data analysis and reinforcing concepts of confidence intervals, p-value interpretation, and one- vs two-sided tests.
introductory, Lab, Teaching material, Lecture, Undergraduate, Graduate, Majors, More than 1 hour
138
54
0
01.23.2019
In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
introductory, Teaching material, Lecture, Undergraduate, Majors, Less than 1 hour
165
57
0
01.23.2019

Two-Way ANOVA

Didem Ikis

Version: 1.0

In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to check for the ANOVA assumptions.
undergraduate research, ANOVA, introductory, Lab, Teaching material, Undergraduate, Graduate, Advanced, Majors, Non-majors, 1 Hour
150
54
0
01.23.2019

Histograms and Boxplots

Suann Yang

Version: 1.0

This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.
RStudio, data visualization, Swirl, introductory, Teaching material, Lecture, Undergraduate, Majors, Non-majors, 1 Hour
165
76
0
01.21.2019