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DIG into Data FMN (2017)
Overview
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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 |
DIG into Data for the Biology Classroom
Building a Collaborative Space for Teaching with Quantitative Data
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Goals
- Educate faculty members on effective pedagogical practices around teaching with research data
- Support development of pedagogical material focused on bringing data into the biology/ecology classroom
Mentors
- Kaitlin Bonner, St. John Fisher College
- Kristine Grayson, University of Richmond
- X. Ben Wu, Texas A&M University
Final Products
Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal population sizes using the Lincoln-Peterson model.
Students generate predictions and test three hypotheses about how biodiversity is affected by urbanization over time using citizen science generated bird count data and land use data from 13 locations in Florida over a 10 year time span
Climate Change and Phenology: Evaluating Temperature, Precipitation, and Phenology of Frogs and Toads in Minnesota
Version: 1.0.0 Adapted From: Investigating the footprint of climate change on phenology and ecological interactions in north-central North America v1.0
Students evaluate long term (100+ years) trends in temperature and precipitation, and then isolate a shorter time span (20 years) in which to evaluate the correlation between spring temps and the earliest reported calling dates for MN frogs and toads
The nose knows: How tri-trophic interactions and natural history shape bird foraging behavior
Version: 1.0
Students investigate the role of olfaction and infochemicals on bird foraging behavior through three different quantitative modules. In this module students create graphs, generate statistics, draw conclusions, and apply their knowledge.
This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.
The Effect of Climate Change on Butterfly Phenology
Version: 1.0
In this module, students explore changes in butterfly phenology through the use of natural history collections data.
Identifying, mapping and understanding the magnitude and the spatial prevalence of the Sexually Transmitted Diseases (STDs) such as chlamydia and gonorrhea diseases. Analyzing the spatial trends of the disease patterns at National, State and...
Parasites -- They're what's for dinner: Investigating the role of parasites in aquatic food webs
Version: 1.0
Use a well-resolved food web database from a freshwater wetland ecosystem in central California to explore how parasites influence community properties and learn how food webs are constructed and analyzed.
Students utilize the provided dataset to engage in an open-inquiry project on the impacts of abiotic and biotic factors on stream macroinvertebrate communities and/or leaf litter decomposition.
An introduction to linear models using plant and animal richness-environment relationships in ephemeral ponds and permanent wetlands.
Students evaluate weather and phenology data sets spanning 40+ years from a high-elevation field station in the Colorado Rocky Mountains, to test predictions about the effects of climate change on migrating and over-wintering animal and plant.
Diseasebots
Version: 1.0
This module explores the effects of host density on contact rates and transmission of pathogens or mutualist symbionts using a hands-on simulation, a computer agent-based model in NetLogo, and an authentic ecological dataset.
Freezer Full of Fossils v2.0
Version: 1.0
The Long Term Evolution Experiment started by Dr. Richard Lenski provides a rich dataset to help students explore concepts of fitness, replication, and adaption.
This dataset of fungal communities associated with the leaves an endemic Hawaiian tree provides students opportunities to explore relationships between environmental variables and microbial community composition.
This module provides a framework for upper-level ecology students to learn about limiting factors for stream fish diversity, using data from Shenandoah National Park and gaining skills in predictive, regression-based modeling.
This module contains a series of take-home activities to prepare students to analyze their own dataset collected in lab.
Sleep and Learning Lab
Version: 1.0
Students use sleep and exam data from Introductory Biology students to investigate the question: Does a circadian rhythm, the sleep-wake cycle, influence an important mammalian adaptation, the ability to learn in an information-rich environment?