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Faculty Mentoring Networks

Goal: High quality teaching materials that teach our students important quantitative skills as well as important subject specific topics.

Challenges:

  • Quality materials take a long time to develop. Time is limited for most faculty.
  • Individual faculty may have limited experience teaching quantitative skills.
  • Faculty are unsure of what existing materials may exist that could be used.

Solution: Faculty Mentoring Networks bring together small groups of educators to provide peer-support for creation, modification, and implementation of quantitatively focused teaching materials.

The Faculty Mentoring Network model provides a link between pedagogical theory and actionable classroom practice involving a time commitment of 2-4 hours per month.

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QUBES

QUBES is a community of math and biology educators who share resources and methods for students to tackle real, complex biological problems.

Support for Faculty Mentoring Networks is one of many services offered by QUBES.

 

Open Educational Resources (OERs)

By sharing OERs, instructors can use, modify and improve existing materials in their own classrooms while obtaining professional credit for sharing these teaching materials.

Graphic of an Open Educational Resource Example. Title: Large Dataset in R–Plant Phenology & Temperature Data with image of mountains in with golden fall leaves.

 

Software

Cloud-based software allows any instructor with internet access to use a variety of software tools with their students, regardless of local resources.

A few of the software platforms provided through QUBES: RStudio, Jupyter Notebooks, Jupyter Lab, NetLogo, Copasi, QtOctave, ImageJ, Mesquite, PPLANE, XPPAUT

 

Community

The QUBESHub platform allows the creation of community spaces to allow groups to work toward their goals and to allow individuals to find a community of shared interest.

Examples of Communities/Groups: Workshops, Conferences, FMNs, Partners

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NEON Data Education FMN

The NEON Data Education FMN is a collaborative effort between scientists from the NEON project and university/college faculty interested in using NEON data with their students.

The focus is on undergraduate instruction, however, high schools and graduate level materials have also been developed.

Participant benefits:

  • Support through peer review to create/modify teaching materials faculty want to develop.
  • Bolster teaching profile; OERs shared on QUBESHub have a citable DOI.
  • Learn about NEON data and have direct interaction with NEON scientists and educators to help with questions and resources.
  • Increase awareness of other resource that can also be used in the future.
  • Receive instruction on special topics in education pedegogy.
  • Receive recognition as a NEON Data Education Fellow.

NEON benefits:

  • Faculty create and share teaching materials using NEON data or protocols.
  • Students are introduced to NEON as a souce of data for future research.

Participant Responsibilities:

  • 1-hr online meetings twice per month for the semester.
  • Create/adapt & implement a teaching module with students.
  • Participate in review and feedback of FMN colleagues' materials.
  • Publicly share a new or modified Open Education Resource through QUBESHub or other platform.
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NEON FMN Products

NEON Data Education FMN Spring 2018

  • 13 participants; 6 have shared their teaching materials.

NEON Data Education FMN Fall 2018

  • 14 participants on track to share teaching materials this month.

NEON Data Education FMN Spring 2019

 

Adapted Teaching Materials

Faculty can choose to implement existing teaching materials and share their adaptation of the original materials.

 

Hernández-Pacheco, R. More In Depth Spreadsheet Management Adaptation of Data Management using NEON Small Mammal Data. doi:10.25334/Q44X4D

Title Card: More In Depth Spreadsheet Management Adaptation of Data... with image of bar plot figure and spreadsheet data

 

Cowden, N. Gaining familiarity with R and Work with NEON OS & IS data. doi:10.25334/Q4QX4P

Title Card: Gaining familiarity with R and Work with NEON OS & IS data - Plant... with image of leaf.

 

Jones, A. C. NEON Data in the Classroom: Implementing and Adapting an Open Education NEON Resource “Quantifying the Drivers and Impacts of Natural Disturbance Events-The 2013 Colorado Floods” for the Southern California Classroom. doi:10.25334/Q4F43W

 

New Teaching Materials

Faculty can choose to create and share new materials.

 

Matthes, J. Outstanding Oaks: Quercus Phenology at NEON Sites. doi:10.25334/Q4HQ54

Title Card: Outstanding Oaks: Quercus Phenology at NEON Sites. With image of oak tree

 

Gough, C. M., Giffen, C., Woodward, T. W.

Environmental Drivers of Ecosystem Carbon Fluxes from Minutes to Years. doi:10.25334/Q4VD7W

Title Card: Environmental Drivers and Ecosystem Carbon Fluxes from Minutes to ... With image of Flux Tower

 

Swetnam, T. L., Jones, M. A. CyVerse Tutorials for NEON Data Science Institute 2018. doi:10.25334/Q48T4M

Title Card: CyVerse Tutorials for NEON Data Science Institute 2018 . With image of CyVerse logo.

 

View all NEON-related Teaching Materials on QUBESHub.

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The NSF's NEON Project

The National Ecological Observatory Network is a continental-scale ecological observation facility that collects and provides open data from 81 field sites across the United States that characterize and quantify how our nation's ecosystems are changing.

 

Open Access Data to Understand our Changing Ecosystems

All NEON data are open and available for you to use in research and education. Access NEON data through the portal: data.neonscience.org.

Explore NEON field sites maps.

 

NEON collects archival specimens and samples, ranging from ground beetles to soils to DNA extracts that are available by request. Learn more.

 

NEON intrastructure is available for use for PI-driven research. Using a cost-recoverable model, PIs can request:

  • Mobile Deployment Platforms (MDPs): These self-contained mobile sensor arrays can be set up to collect meteorological, soil and surface water data for short- to medium-term monitoring projects.
  • Airborne Observation Platform (AOP) Surveys: AOPs are light aircrafts outfitted with a high-fidelity hyperspectral imaging spectrometer, discrete and waveform LiDAR, and a high-resolution digital camera to collect remote sensing data.
  • Access to Sensor Infrastructure (SI): Investigators may request to add sensors to existing NEON field site infrastructure to collect their own data.
  • Access to Observational Sampling Infrastructure (OSI): Researchers may request access to sampling locations or field technician support for PI-led projects at NEON sites, and access to biological samples collected at field sites before they are archived in the NEON Biorepository.

Learn more.

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Educational Resources Beyond FMNs

EDSIN Logo

Environmental Data Science Inclusion Network

The Environmental Data Science Inclusion Network is intended to strengthen initiatives across existing alliances and organizations to recruit and retain individuals from underrepresented groups in data science careers.

Join the Conversation

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NEON Data Tutorials

NEON develops online tutorials to help you improve your research. These self-paced tutorials are designed for you to used as standalone help on a single topic or as a series to learn new techniques.

Screen shot of example NEON Data Tutorials. All in image are phenology related.

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Abstract


One of the barriers frequently cited by faculty wanting to implement data-driven curriculum is the lack of support in implementing a new style of teaching in the university classroom. The Faculty Mentoring Network (FMN) model, as supported by the QUBES collaboration, is a mechanism for providing support for faculty interested in creating and/or implementing data-driven curriculum. The National Ecological Observatory Network (NEON) Data Education Fellows Faculty Mentoring Network is a collaborative effort between scientists from the NEON project and university faculty interested in using NEON data. It is hosted on the QUBESHub, a collaboration and education materials sharing platform. The goal is to provide undergraduate faculty with open access tools, resources and support to help them bring quantitative methods into their ecology and biology courses using NEON data.
The NEON FMN model provides support for faculty through 1-hour meetings, every other week. The meetings provide time for faculty to ask questions regarding challenges that come up in the classroom or that they foresee encountering. Discussion topics are chosen to provide faculty with a framework for sound creation and implementation of the materials, to access and use NEON data, and to publish and disseminated Open Educational Resources (OERs). In the inaugural NEON FMN spring 2018, all active participants currently teaching implemented a data centered activity with their students. In a post-FMN survey, 60% of respondents said they were extremely likely to continue using their FMN materials in their classrooms, the other 40% said they were 'somewhat likely' to continue to do so. Additionally, 60% of respondents stated participation in the FMN helped them implement their data-centered activity 'a lot' or 'a great deal' while the other 40% said it helped 'moderately'. Five of the eleven participants also published their OER on QUBESHub within two months of the FMN concluding. Within the same two months these five modules were collectively downloaded 171 times. The FMN model, as implemented by NEON, facilitates the creation and implementation data-driven curriculum for the undergraduate classroom with minimal but semester-long support by peers.


One of the barriers frequently cited by faculty wanting to implement data-driven curriculum is the lack of support in implementing a new style of teaching in the university classroom. The Faculty Mentoring Network (FMN) model, as supported by the QUBES collaboration, is a mechanism for providing support for faculty interested in creating and/or implementing data-driven curriculum. The National Ecological Observatory Network (NEON) Data Education Fellows Faculty Mentoring Network is a collaborative effort between scientists from the NEON project and university faculty interested in using NEON data. It is hosted on the QUBESHub, a collaboration and education materials sharing platform. The goal is to provide undergraduate faculty with open access tools, resources and support to help them bring quantitative methods into their ecology and biology courses using NEON data.
The NEON FMN model provides support for faculty through 1-hour meetings, every other week. The meetings provide time for faculty to ask questions regarding challenges that come up in the classroom or that they foresee encountering. Discussion topics are chosen to provide faculty with a framework for sound creation and implementation of the materials, to access and use NEON data, and to publish and disseminated Open Educational Resources (OERs). In the inaugural NEON FMN spring 2018, all active participants currently teaching implemented a data centered activity with their students. In a post-FMN survey, 60% of respondents said they were extremely likely to continue using their FMN materials in their classrooms, the other 40% said they were 'somewhat likely' to continue to do so. Additionally, 60% of respondents stated participation in the FMN helped them implement their data-centered activity 'a lot' or 'a great deal' while the other 40% said it helped 'moderately'. Five of the eleven participants also published their OER on QUBESHub within two months of the FMN concluding. Within the same two months these five modules were collectively downloaded 171 times. The FMN model, as implemented by NEON, facilitates the creation and implementation data-driven curriculum for the undergraduate classroom with minimal but semester-long support by peers.

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