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  1. Adapted Value of Mistakes

    Adapted Value of Mistakes

    2019-05-11 01:42:37 | Teaching Materials | Contributor(s): Sheela Vemu | doi:10.25334/Q4DT8C

    This module is adapted from BIOMAAP materials on the value of mistakes and application of growth mindset in a microbiology lab.

  2. Sampling Distributions and Null Distributions: two swirl lessons in R

    Sampling Distributions and Null Distributions: two swirl lessons in R

    2019-05-10 21:50:18 | Teaching Materials | Contributor(s): Rachel Hartnett | doi:10.25334/Q4KJ04

    There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a dataset and its p-value are visualized on this distribution.

  3. Importing Data into R

    Importing Data into R

    2019-05-10 16:05:13 | Teaching Materials | Contributor(s): Rachel Hartnett | doi:10.25334/Q4W161

    This short swirl lesson on importing data is designed to 1) get a basic understanding in how tables are read into R and some common issues and 2) develop an individual set of instructions for students to use later to import a table on their own.

  4. Ancient Insects

    Ancient Insects

    2019-05-10 15:58:45 | Teaching Materials | Contributor(s): Susan Butts, Talia Karim, Chris Norris | doi:10.25334/Q40Q8M

    Create a gallery of fossil organisms and identify distinctive body parts (wings, suckers, modified appendages) from the collection. Analyze and interpret these features to predict what type of environment the insect inhabited (3-LS4-1 of NGSS).

  5. Exaggerated Traits and Breeding Success in Widowbirds

    Exaggerated Traits and Breeding Success in Widowbirds

    2019-05-09 19:32:14 | Teaching Materials | Contributor(s): Katie Northcutt | doi:10.25334/Q45F24

    Teaching Notes on the Exaggerated Traits and Breeding Success in Widowbirds

  6. The Evolution of Human Skin Color

    The Evolution of Human Skin Color

    2019-05-09 19:24:51 | Teaching Materials | Contributor(s): Katie Northcutt | doi:10.25334/Q49742

    My teaching notes for the Evolution of Human Skin Color case study.

  7. Figure of the Day - Adapted for Non-Majors

    Figure of the Day - Adapted for Non-Majors

    2019-05-09 15:50:01 | Teaching Materials | Contributor(s): Crystal Peirce | doi:10.25334/Q4KQ98

    Students use their number sense to make observations and come up with reasonable guesses or explanations for the patterns shown.

  8. Investigating human impacts on stream ecology: Intro to R

    Investigating human impacts on stream ecology: Intro to R

    2019-05-08 18:00:41 | Teaching Materials | Contributor(s): Kristen Kaczynski | doi:10.25334/Q45M9H

    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and data visualization in R (using tidyr language).

  9. Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses

    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses

    2019-05-02 18:42:15 | Teaching Materials | Contributor(s): Adam Kleinschmit, Benita Brink, Steven Roof, Carlos Christopher Goller, Sabrina Robertson | doi:10.25334/Q4G45Z

    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.

  10. Discrete Math Modeling with Biological Applications (Course Materials)

    Discrete Math Modeling with Biological Applications (Course Materials)

    2019-04-26 14:40:04 | Teaching Materials | Contributor(s): Carrie Diaz Eaton | doi:10.25334/Q4316W

    These are the materials for Math 214 offered at Rhodes College.

  11. Calling Bull: Data Reasoning in a Digital World

    Calling Bull: Data Reasoning in a Digital World

    2019-04-26 13:56:42 | Teaching Materials | Contributor(s): Carl Bergstrom, Jevin West

    "So, the aim of this course is to help students navigate the bullshit-rich modern environment by identifying bull seeing through it, and combating it with effective analysis and argument."

  12. QUBES: An education gateway for professional development, OER sharing, and project support

    QUBES: An education gateway for professional development, OER sharing, and project support

    2019-04-23 13:19:43 | Teaching Materials | Contributor(s): Sam S Donovan, Kristin Jenkins, Drew LaMar, Jeremy M Wojdak | doi:10.25334/Q4CF20

    Poster about QUBES as an education gateway presented at the 2019 ASCN Transforming Institutions

  13. Quantifying and Visualizing Campus Tree Phenology

    Quantifying and Visualizing Campus Tree Phenology

    2019-04-18 17:59:23 | Teaching Materials | Contributor(s): Nate Emery, Caleb Trujillo, Andrew Jarosz, Tammy M Long

    This lesson, published on CourseSource, enables collaborative teams to collect, quantify, and analyze observable seasonal changes in nature.

  14. Data is the New Science

    Data is the New Science

    2019-04-12 20:23:02 | Teaching Materials | Contributor(s): Anna Monfils, Debra Linton, Libby Ellwood, Molly Phillips | doi:10.25334/Q4RR0R

    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply what they have learned to research question.

  15. Following the Data

    Following the Data

    2019-04-10 01:26:26 | Teaching Materials | Contributor(s): Anna Monfils, Debra Linton, Molly Phillips, Libby Ellwood | doi:10.25334/Q4WF18

    The video and exercise provides insight into how researchers are using digital data resources to investigate biodiversity in prairie fen wetlands.

  16. Mentoring Pacific Island Students for Conservation

    Mentoring Pacific Island Students for Conservation

    2019-04-08 03:36:30 | Teaching Materials | Contributor(s): Noelani Puniwai-Ganoot, Sharon Ziegler-Chong, Rebecca Ostertag, Moana Ulu Ching, Linnea Heu, Cherie Kauahi | doi:10.25334/Q4174K

    This undergraduate internship program focuses on mentoring Pacific Island Students into conservation careers through development of skills, networks and sense of self, while being grounded in values important to target audience.

  17. Students of Color Identify Ways Enivronmental Faculty Can Advance Racial/Ethnic Diversity in Undergraduate Programs

    Students of Color Identify Ways Enivronmental Faculty Can Advance Racial/Ethnic Diversity in Undergraduate Programs

    2019-04-02 20:39:32 | Teaching Materials | Contributor(s): Tania Schusler | doi:10.25334/Q44X7J

    This grounded theory study documents the experiences of students of color in undergraduate environmental degree programs. Its results can inform faculty, staff, and administrators about how to cultivate greater diversity, equity, and inclusion.

  18. Expanding the pipeline: Engaging urban secondary school and college students in science and the environment

    Expanding the pipeline: Engaging urban secondary school and college students in science and the environment

    2019-04-01 14:26:01 | Teaching Materials | Contributor(s): Yael Wyner, Janice Koch | doi:10.25334/Q48Q83

    This speed talk will describe three education projects that engage urban minority students in science and the environment.

  19. UW Data Science for Social Good program

    UW Data Science for Social Good program

    2019-04-01 00:53:12 | Teaching Materials | Contributor(s): Sarah A Stone | doi:10.25334/Q4DF0J

    The UW Data Science for Social Good (DSSG) program partners eScience Data Scientists and Student Fellows from across the country with Project Leads from academia, government, and the private sector to find data-driven solutions to societal challenges.

  20. Summary of the National Academies Report on Data Science for Undergraduates

    Summary of the National Academies Report on Data Science for Undergraduates

    2019-04-01 00:45:03 | Teaching Materials | Contributor(s): Lou Gross | doi:10.25334/Q4J73V

    Under the auspices of the National Academies, a Committee developed a consensus report regarding means to enhance undergraduate programs in the emerging discipline of data science.

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