• Discoverability Visible
  • Join Policy Restricted
  • Created 15 Sep 2019

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.

Interested in upcoming FMN opportunities? Sign up for the QUBES Newsletter

Browse products from this FMN     Visit partner groups for full resource collections

ESA Data Access

Inclusive Pedagogy Faculty Mentoring Network

Brought to you by

Visit Partner Group on QUBES

 

Goals

  • Increase understanding and implementation of inclusive pedagogy in ecology classrooms
  • Develop, implement, and assess effective materials and inclusive pedagogical practices for teaching data-intensive modules in the classroom
  • Join a diverse community of practice in small group virtual meetings over a semester to exchange ideas, effective tips and strategies in lecture/classroom/lab 

Mentors


Final Products

A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly available data.
linear regression, Scatter Plots, climate change, phenology, hypothesis formulation, mountains, California, public data, CODAP
1.2K
291
0
0
02.2021
TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally? This is an adaptation of the module that includes statistical testing and links sections to a lab report writing.
1.1K
293
0
0
07.2020
Understanding global climate change through the lenses of the present, past, and future, combining modern technology and indigenous knowledge and ways of knowing.
climate change, global change, abiotic environment, indigenous knowledge
1.3K
1.6K
0
0
06.2020
Students use data on nitrogen and phosphorus levels in streams and macrobenthic insect biodiversity to consider issues of nutrient pollution and stream health while learning to filter, summarize, and plot data.
1.3K
1.7K
0
0
06.2020
Adaptation of the "TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?" specifically to include information on the SE (particularly Atlanta, GA).
1.3K
1.4K
1
0
05.2020
Modification of the Investigating Human Impacts on Stream Ecology Module to emphasize landscape indicators and incorporate inclusive practices.
1.3K
815
0
0
05.2020
In this module, students explain the importance of collections in scientific research, manipulate data in a spreadsheet program, create properly plotted and labeled graphs, analyze data to test hypotheses about climate effects of butterfly phenology
Excel, Resources @ ESA - TIEE, climate change, fmn, phenology, natural history collections, DIG, butterfly, interspecific interactions
1.9K
1.5K
0
0
05.2020
Learning Goals: • explain importance of data management • identify elements of an organized data sheet • create & manipulate data in a spreadsheet • calculate vital statistics using life tables • collect, manage and analyze data to test hypotheses
Resources @ ESA - TIEE, demography, survivorship, data management, life tables
1.3K
1.5K
0
0
05.2020
This is a modification of an original TIEE Module, investigating these questions: How does nutrient pollution impact stream ecosystems locally and nationally? How does land cover change impact nutrient pollution?
tool:rstudio, landscape ecology, Stream ecology, Box Plots, land use, spatial analysis, Eutrophication
1.4K
736
0
0
05.2020
Students link human behavior in various climate change scenarios to predicted temperature outcomes at both local (their assigned Latitude) and global (Latitudinal trends) scales. This adaptation is intended to be more accessible to non-majors.
Excel, Resources @ ESA - TIEE, ecology lab, climate change, environmental science, global change, human-environmental interactions, Simple Linear Regression, human impacts, inclusive pedagogy-FMN
1.3K
1.7K
0
0
05.2020
Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and made-up vector point data on both platforms.
tool:rstudio, GIS, data management, landscape ecology, Geospatial Science, National Ecological Observatory Network, quantitative inquiry, QGIS
2.2K
1.4K
0
0
05.2020
This module is a modification of the Nuding and Hampton module in TIEE Volume 8. This modified module includes data from Alaska and is modified to be completed as an asynchronous lab in an online class.
aquatic macroinvertebrates, Alaska, Stream ecology, nutrient pollution, Human Impacts of Ecosystems, ecological monitoring, asynchronous learning
1.2K
291
0
0
05.2020
This module is a modification of the Lanza module in TIEE Volume 8. Rather than requiring students to visit cemeteries outside of class, this modification has students collect data from online cemetery databases, analyze data, and present to the class.
ecology, Resources @ ESA - TIEE, demography, survivorship, life tables
1.7K
344
0
0
05.2020
In this Team-based activity, students work in teams, playing the role of natural resource managers who must decide in which region to invest limited funding for nutrient reduction in streams. Students base their decision on data analyses, other info.
Stream ecology, Box Plots, Spreadsheet, Group cooperative learning, Team-based Learning, Biogeochemical cycles
1.6K
1.5K
0
0
05.2020