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Resources: Teaching Materials

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  1. Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling

    Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling

    2020-04-23 15:37:39 | Contributor(s): Blaine Marchant | doi:10.25334/50DG-QX17

    Step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.

  2. Louse Genetics, Genomics, and Gene Function...Oh My!

    Louse Genetics, Genomics, and Gene Function...Oh My!

    2020-04-22 23:45:47 | Contributor(s): Anna Monfils, Julie Allen, Brad W Goodner, Debra Linton | doi:10.25334/WR1H-KA33

    In this module, students will be investigating a louse gene with an unknown function to determine if it might be important in the evolution of the louse ecomorphs.

  3. Birds and Lice: Reciprocal Natural Selection

    Birds and Lice: Reciprocal Natural Selection

    2020-04-22 23:01:59 | Contributor(s): Anna Monfils, Julie Allen, Brad W Goodner, Debra Linton | doi:10.25334/JAWH-MZ69

    This exercise investigates the form and function of lice and their relationship to their bird host.

  4. Louse and Human Coevolution

    Louse and Human Coevolution

    2020-04-22 21:55:31 | Contributor(s): Anna Monfils, Julie Allen, Brad Goodner, Debra Linton | doi:10.25334/JJBH-SG27

    This module examines the complicated co-evolution of Lice, Humans, and Great Apes

  5. Coding Club: A Positive Peer-Learning Community

    Coding Club: A Positive Peer-Learning Community

    2020-04-22 17:10:05 | Contributor(s): Gergana Daskalova, Sandra Angers-Blondin, John Godlee, Izzy Rich, Beverly Tan, Declan Valters, Haydn Thomas, Pedro Miranda, Gabriela Hajduk, Kat Keogan, Isla Myers-Smith, Kyle Dexter, Christina Coakley | doi:10.25334/YWP9-S402

    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh

  6. Needleman - Wunsch Algorithm Exercise

    Needleman - Wunsch Algorithm Exercise

    2020-04-22 13:05:22 | Contributor(s): Michael Sierk, Sam S Donovan, Neal Grandgenett, Bill Morgan, Mark A. Pauley, Elizabeth F Ryder | doi:10.25334/H7KQ-F202

    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

  7. Trauma-Informed Pedagogy: Teaching in Uncertain Times

    Trauma-Informed Pedagogy: Teaching in Uncertain Times

    2020-04-21 17:36:19 | Contributor(s): Mays Imda | doi:10.25334/Y2TM-AZ69

    This free online seminar is designed for educators who are interested in learning about how they can teach their students despite the presence of trauma related to CoVID-19. Tuesday, April 28, 2020 | 1:00 PM Central | 60 Minutes

  8. COVID-19 educational module | Department of Mathematics

    COVID-19 educational module | Department of Mathematics

    2020-04-09 22:27:19 | Contributor(s): Glenn Ledder | doi:10.25334/TGBN-2943

    This resource is a module you can use to teach your students the basics of epidemic behavior using a model geared specifically to Covid-19. Students can address key questions using pre-designed experiments.

  9. Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2

    Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2

    2020-04-03 19:18:28 | Contributor(s): Maria Shumskaya, Nicholas Lorusso | doi:10.25334/NC3X-TW70

    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5 hours. Level: undergraduate students majoring in biology.

  10. SIR BuildIt

    SIR BuildIt

    2020-04-03 12:45:27 | Contributor(s): Anton E Weisstein | doi:10.25334/MF1T-WV05

    An introduction to epidemiological models using interactive Excel worksheets

  11. Searching for disability as biodiversity in digitized natural history collections

    Searching for disability as biodiversity in digitized natural history collections

    2020-03-27 20:56:54 | Contributor(s): Kaitlin Stack Whitney | doi:10.25334/BC3C-BK60

    This module uses digitized natural history and biodiversity collections to explore if, how, and whether disability can be studied in nonhumans as a form of biodiversity.

  12. Transpiration- Adapted for online

    Transpiration- Adapted for online

    2020-03-27 12:43:37 | Contributor(s): J. Phil Gibson | doi:10.25334/AYEG-7B84

    In this adaptation, the lab is completed remotely.

  13. Movement: Nature's Flying Machines (Online)

    Movement: Nature's Flying Machines (Online)

    2020-03-25 16:01:16 | Contributor(s): Debra Linton | doi:10.25334/9CMG-Q484

    Adapted for online learning: In this lab, you will explore the physics of flight, the adaptations that make powered flight possible, and the evolution of powered flight in vertebrates and invertebrates.

  14. Diseasebots HEXBUG Lab

    Diseasebots HEXBUG Lab

    2020-03-24 23:18:18 | Contributor(s): Skylar Hopkins | doi:10.25334/9JR0-DV86

    This module explores the effects of host density on contact rates and transmission of pathogens using a hands-on experiment with HEXBUG robots.

  15. Supersized Life: Comparing Across Scales

    Supersized Life: Comparing Across Scales

    2020-03-24 18:53:38 | Contributor(s): Natasha Vitek, Christopher Baker | doi:10.25334/PECK-4J20

    How wide is the size range of living beings, from "big" to "too small to see"? Students will collect and compare measurements from 3D specimens within the metric system by multiplying or dividing numbers by powers of ten to solve word problems.

  16. Data Visualization

    Data Visualization

    2020-03-23 21:11:44 | Contributor(s): Anna Monfils | doi:10.25334/HKDN-NW05

    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.

  17. Communicating with Data: Digital Data Resources

    Communicating with Data: Digital Data Resources

    2020-03-22 23:57:38 | Contributor(s): Anna Monfils, Debra Linton | doi:10.25334/ETFQ-MD77

    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.

  18. Communicating with Data: Infographic with Digital Data

    Communicating with Data: Infographic with Digital Data

    2020-03-22 23:43:41 | Contributor(s): Anna Monfils, Debra Linton | doi:10.25334/4H38-8A18

    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.

  19. 21st Century STEM Workforce Skills

    21st Century STEM Workforce Skills

    2020-03-22 22:01:10 | Contributor(s): Anna Monfils, Debra Linton | doi:10.25334/C0BA-ZP79

    This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.

  20. COVID-19 Simulator (ISEE) Module

    COVID-19 Simulator (ISEE) Module

    2020-03-20 14:56:05 | Contributor(s): Sarah Hews | doi:10.25334/GA88-NM81

    This accessible module guides students through exploring the COVID-19 Simulator developed by ISEE. Students dig into the four scenarios provided (including the parameters and the graphs), construct their own scenarios, and interpret their results.