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

Project EDDIE Faculty Mentoring Network

Teaching Quantitative Reasoning and Scientific Concepts with Data Spring 2021

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Goals

  • Learn how to use Project EDDIE modules in undergraduate courses
  • Gain support for further development of pedagogical material focused on teaching quantitative reasoning and scientific concepts with data in the classroom
  • Leave this FMN with several data-driven activities that have been tested, adapted, and implemented in multiple classroom settings

Mentors


Final Products

This activity explores the question: which species will be most affected by temperature changes, and how will changes in the phenology of one species affect its interaction with others as the climate warms.
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06.2021
This module adaption focuses on the interplay between winds, ocean upwelling, and marine productivity. Students are able to select and download their own data and compare results among different sites.
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06.2021
Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider macroscale patterns of vegetation controls.
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05.2021
This modified version incorporates the use of RStudio Cloud for easier remote instruction, and culminates in an exploratory project comparing the influence of patch metrics on vegetation health for two sites in the National Ecological Observatory Network.
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05.2021
In this module, students will use an analytical framework with publicly available data to formulate questions, analyze data, and report metrics of sustainability.
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05.2021
In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees.
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05.2021
This adaptation explores the questions: Based on observations of bumblebee phenology, are bumblebees in the western United States behaving differently from 2011 to 2019? What climate variables may help explain bumblebee activity? (Only Part A and B)
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05.2021
This activity explores the question: how is bumblebee phenology affected by climate, and are patterns in the phenology of an organism better explained at smaller scales?
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04.2021