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  • Created 18 Sep 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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Data Explorers

Using ecological data in undergraduate biology classrooms

Brought to you by

ESA Logo

TIEE logo

 

Goals

  • implement selected modules from ESA's Teaching Issues and Experiments in Ecology (TIEE) in introductory biology or ecology courses
  • provide students the opportunity to apply quantitative skills to real-world datasets
  • find, customize, and share high quality teaching resources and strategies

Mentors


Final Products

TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?
plant physiology, R, Excel, Resources @ ESA - TIEE, image analysis, case study, growth mindset, graphing, t-tests, Ratios, frequency histograms, linear equations, data visualization, primary literature, reading, scientific literature, literature, reading comprehension, critical reading, adaptation, ANOVA, population ecology, endangered species, conservation biology, migration ecology, physics, chemistry, metacognition, Animals, math attitudes, biomimicry, population biology, hypothesis formulation, scale, Surface Area, biomechanics, photosynthesis, predator-prey interactions, phenotypic plasticity, Resources @ BIOMAAP, socio-environmental data, hyperbolic equations, OpenStax, Animal Physiology, parabolic equations, introductory, Lab, Teaching material, Lecture, High School, Undergraduate, Faculty, Advanced, Majors, Non-majors, 1 Hour, Less than 1 hour, More than 1 hour
80
44
0
06.10.2019
This activity was adapted for use in an intro non-majors Environmental Science course, with an emphasis on collaborative data collection.
data analysis, Genetic Drift, quantitative skills, species diversity, Island biogeography, gamification, genetic diversity, ecological drift, colonization, collaborative data collection, introductory, Lab, Teaching material, Lecture, Undergraduate, Non-majors, More than 1 hour
85
46
0
06.01.2019
In this module, students practice interpreting the relationship between variables before exploring changes in butterfly phenology through the use of natural history collections data.
Excel, Resources @ ESA - TIEE, graphing, climate change, fmn, phenology, natural history collections, DIG, butterfly, interspecific interactions, introductory, Lab, Online course, Teaching material, Lecture, Undergraduate, Non-majors, More than 1 hour
69
27
0
06.01.2019
This module is a modification of the Beckstead et al. module in TIEE Volume 7. It includes a meta-cognition based model and self reflection, no statistics, and is organized to be done in 1-2 lab/in-class periods (no advance reading, no homework).
145
55
0
05.30.2019
This is a modification of the Linton et al. module in TIEE Volume 13. Students use data from digitized museum records of butterfly specimens in a modification with no homework (lab/workshop format) or statistics knowledge required.
165
87
0
05.30.2019
How does nutrient pollution impact stream ecosystems locally and nationally?
introductory, Lab, Teaching material, Lecture, Reference material, Undergraduate, Dataset, Majors, Non-majors, More than 1 hour, Extended Project
60
57
0
05.29.2019
This activity was developed for an undergraduate upper level ecology course for Environmental or Biological Science majors. Classes of ~20 students work best for the activity.
genetics, epidemiology, simulation, module, chi-squared, R, case study, linkage, test cross, recombination, data in the classroom, demonstration, process of science, in-class activity, problem set, biodiversity informatics, code of conduct, Website, introductory, Lab, Online course, Teaching material, Lecture, High School, Reference material, Undergraduate, Homework, Advanced, Majors, Non-majors, 1 Hour, More than 1 hour, Extended Project, Conference material, Workshop material
67
61
0
05.29.2019
Students investigate the role of olfaction and infochemicals on bird foraging behavior.. In this module students learn to analyze and present graphic data in ways that simplify interpretation.
90
8
0
05.28.2019
Examining water quality (including fertilizer residue, nutrients, soil erosion, and invasive plants) on a Hawaiian fishpond ecosystem.
72
35
0
05.22.2019
Examining biotic and abiotic environmental factors explain the historic, present, and future prevalence and range of avian malaria in Hawaii. The activity also asks how this affects local endangered bird populations.
67
34
0
05.22.2019
114
29
0
05.21.2019
In this module, students explore changes in butterfly phenology through the use of natural history collections data. The resource I have modified is a pptx presentation to introduce the background and an updated student pre-lab assignment.
100
44
0
05.21.2019
The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was provided throughout the semester.
62
41
0
05.21.2019
Students learn about stream ecology on the island of Hawaii using data available through USGS and University of Hawaii websites and develop an understanding for potential stream changes due to predicted climate change.
93
8
0
05.20.2019
This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and data visualization in R (using tidyr language).
143
64
0
05.08.2019