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  1. Collecting and analyzing binomial data

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    17 Jul 2020 | Software (On-site) | Contributor(s): Suann Yang, Darcy Taniguchi, Jenny Hazlehurst

    In this tool, students watch an Internet cat video, collect binomial data on cat paw usage, and graph and analyze the data with a binomial test in R using the swirl package.

  2. Swirl

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    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  3. Radiant Lite

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    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  4. Radiant Lite

    0.0 out of 5 stars 

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  5. Modeling the Mechanisms of Evolution

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    25 May 2018 | Software (On-site) | Contributor(s): Jackie Matthes

    Simulate population-level mechanisms of evolution: genetic drift, gene flow, and natural selection.

  6. Google Charts Example - Bubble

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    18 May 2018 | Software (On-site)

    This is the "bubble" example from Joe Cheng's Google Charts package.

  7. R Shiny App Example

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    09 May 2018 | Software (On-site) | Contributor(s): Drew LaMar

    This is a simple example used to demonstrate what is needed to host your R Shiny app on QUBESHub.

  8. Radiant

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    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  9. IMMERSION Video

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    25 Jul 2017 | Teaching & Reference Material | Contributor(s): Alondra Torres-Navarro

  10. IMMERSION Video

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    25 Jul 2017 | Teaching & Reference Material | Contributor(s): Alondra Torres-Navarro

  11. QUBES – A virtual synthesis center catalyzing change in undergraduate quantitative biology education

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    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan

    This resource has been updated - find the current version here: https://qubeshub.org/publications/198Presentation about QUBES given at HHMI Constellation Meeting: Advancing science students mastery of quantitative skills. 

  12. Design, Implementation, and Evaluation of Faculty Mentoring Networks: A Model for Promoting Faculty Teaching Scholarship

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    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Kristin Jenkins, Alison N Hale, Gabriela Hamerlinck

    This resource has been updated - find the current version here: https://qubeshub.org/publications/199NGSS, AP Biology, and Vision & Change all highlight the importance of quantitative skills to understanding biology. The Quantitative Undergraduate Biology Education and Synthesis (QUBES,...

  13. Faculty Mentoring Networks: A Model for Promoting Teaching Scholarship in Quantitative Biology Education

    0.0 out of 5 stars 

    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Alison N Hale, Arietta Fleming-Davies, Gabriela Hamerlinck, Jeremy M Wojdak, Kristin Jenkins

    This resource has been updated - find the current version here: https://qubeshub.org/publications/205/Faculty Mentoring Networks (FMNs) are designed to support the development of teaching scholarship by promoting teacher identity, self-efficacy, and knowledge/experience via four core design...

  14. Reimagining professional development: Faculty mentoring networks as a model for connecting projects and teachers

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    13 Mar 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan

    This resource has been updated - find the current version here: https://qubeshub.org/publications/206The Quantitative Undergraduate Biology Education and Synthesis (QUBES) project is working to design, implement, and assess online collaborative communities that promote teaching scholarship....

  15. Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub

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    09 Dec 2016 | Teaching & Reference Material | Contributor(s): Gabriela Hamerlinck, Kristin Jenkins

    This resource has been updated - find the current version here: https://qubeshub.org/publications/207Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub was presented at the annual meeting of the Association of College & University Biology Educators in 2016. 

  16. Faculty Mentoring Networks: A model for professional development in undergraduate quantitative biology education

    0.0 out of 5 stars 

    17 Nov 2016 | Teaching & Reference Material | Contributor(s): Alison N Hale, Arietta Fleming-Davies, Gabriela Hamerlinck, Melissa Aikens, Sam S Donovan, Kristin Jenkins, Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/208There is a significant need to design and test alternative models for faculty development around undergraduate science teaching. Existing models for helping faculty adopt evidence-based...

  17. Integrating Natural History Collections into Undergraduate Education: Creating the Resources and Growing the Community

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    14 Nov 2016 | Teaching & Reference Material | Contributor(s): Anna Monfils, Libby Ellwood, Debra Linton, Molly Phillips, Joseph A. Cook, Joseph Kerski, Tracy Barbaro, Sam S Donovan, Karen Powers, L. Alan Prather, Rob Guralnick

    This resource has been updated - find the current version here: https://qubeshub.org/publications/328Natural history collection specimens and associated data provide unique physical and virtual opportunities to engage students in the practice of science in authentic, place-based lessons. We...

  18. Free Introduction to Python for Data Science Course at DataCamp

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    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

  19. Free Introduction to R Course at DataCamp

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    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

  20. Free Introduction to R Course at DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

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