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Student-Driven Design-and-Improve Modules to Explore the Effect of Plant Bioactive Compounds in Three Model Organisms
30 Aug 2021 | Teaching Materials | Contributor(s):
By Iglika V. Pavlova
University of North Carolina Greensboro
Engaging and supporting introductory level students in authentic research experiences during required coursework is challenging. Plant bioactive compounds attract students' natural curiosity as...
https://qubeshub.org/publications/2726/?v=1
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BioVEDA Curriculum: An Approach to Link Conceptual and Quantitative Understanding of Variation During Experimental Design and Data Analysis
29 Aug 2021 | Teaching Materials | Contributor(s):
By Jessica Dewey†1, Jenna Hicks†1, Maxwell Kramer1, Anita Schuchardt*1
University of Minnesota
When performing a biological investigation, experts constantly cycle between conceptual and quantitative modes of thinking, integrating their understanding in both worlds to make decisions about...
https://qubeshub.org/publications/2674/?v=1
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Learning to Pipet Correctly by Pipetting Incorrectly?
28 Aug 2021 | Teaching Materials | Contributor(s):
By Stephanie F. Mel1, Melissa K. Micou1, Kshitij Gaur**1, David Lenh**1, Clifford Z. Liu**1, Stanley M. Lo*1
University of California San Diego
Beginning undergraduate students in biology need basic laboratory, data analysis, and science process skills to pursue more complex questions in course-based undergraduate research experiences...
https://qubeshub.org/publications/2620/?v=1
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Dynamic Daphnia: An inquiry-based research experience in ecology that teaches the scientific process to first-year biologists
28 Aug 2021 | Teaching Materials | Contributor(s):
By Alyssa Mae Gleichsner1, Shannon R. Butler2, Catherine L. Searle3
1. State University of New York, College at Plattsburgh 2. University of California, San Diego 3. Purdue University
This authentic research experience lesson teaches the core concept of systems and the competencies of quantitative reasoning, communication, and the ability to apply science. The research is...
https://qubeshub.org/publications/2617/?v=1
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A flexible, multi-week approach to plant biology - How will plants respond to higher levels of CO2?
28 Aug 2021 | Teaching Materials | Contributor(s):
By Vanessa Muilenburg1, Katherine Supanich1, Stephen Scogin1, Thomas Bultman1, Jianhua Li1, Lori Hertel1, Kathy Winnett-Murray1
Hope College
To help introductory biology students understand how plants will respond to higher levels of CO2, we have created a multi-week module consisting of a series of four related laboratory lessons....
https://qubeshub.org/publications/2613/?v=1
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Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced students
25 Aug 2021 | Teaching Materials | Contributor(s):
By Michael P. Fleming
California State University, Stanislaus
University capstone projects can offer science students a rich research experience that illustrates the process of doing scientific research, and can also help students better choose future...
https://qubeshub.org/publications/2552/?v=1
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Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
22 Aug 2021 | Teaching Materials | Contributor(s):
By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3
1. Viterbo University 2. Juniata College 3. Pennsylvania State University
Next-generation sequencing is radically changing the study of biology, but there are currently few resources aimed at teaching the required laboratory and data-analysis skills to undergraduate...
https://qubeshub.org/publications/2538/?v=1
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Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests
28 Jul 2021 | Teaching Materials | Contributor(s):
By Alida Janmaat1, Pete Kaslik2, Randall LaRue Moser Jr, Kevin David Simpson, Heather Susanne Zimbler-DeLorenzo3
1. University of the Fraser Valley 2. Pierce College 3. Alfred University
Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and...
https://qubeshub.org/publications/2434/?v=1
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Critical inquiry for inclusive teaching of statistics
28 Jun 2021 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College
Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.
https://qubeshub.org/publications/2458/?v=1
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Final Project for Calling Bull
11 Jun 2021 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College
This is the final project for the calling bull course & it is to find 3 pieces of misinformation/BS and debunk them. They have to re-do at least one visualization, use R in at least one debunking,...
https://qubeshub.org/publications/2431/?v=1
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Ingestion of Microplastics by Coral
12 May 2021 | Teaching Materials | Contributor(s):
By Alyssa Hoekstra
QUBES lesson on ingestion of microplastics by coral. Lesson will give environmental background and then use R for hands-on statistical analyses, followed by critical thinking questions.
https://qubeshub.org/publications/2350/?v=1
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Is bigger always better? An investigation on the effect of drought on different sizes of trees
11 Dec 2020 | Teaching Materials | Contributor(s):
By Jessica Brzyski
Seton Hill University
This data set was compiled from worldwide data to examine the effects of drought on trees. Included in the dataset are measurements of growth and mortality as they relate to the size category of...
https://qubeshub.org/publications/2189/?v=1
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Coding Club: A Positive Peer-Learning Community
22 Apr 2020 | Teaching Materials | Contributor(s):
By Gergana Daskalova1, Sandra Angers-Blondin1, John Godlee1, Izzy Rich1, Beverly Tan1, Declan Valters1, Haydn Thomas1, Pedro Miranda1, Gabriela Hajduk1, Kat Keogan1, Isla Myers-Smith1, Kyle Dexter1, Christina Coakley1
University of Edinburgh
Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
https://qubeshub.org/publications/1816/?v=1
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Responses to Climate Change in California Chipmunks: Move, Adapt, or Die
10 Feb 2020 | Teaching Materials | Contributor(s):
By Talisin Hammond1, Rachel E. Walsh2, Eileen Lacey3
1. San Diego Zoo Institute for Conservation Research 2. University of California, Berkeley 3. Museum of Vertebrate Zoology, UC Berkeley
A series of three modules using data from natural history museum collections to examine responses to climate change in multiple chipmunk species. Elevation and morphological data, beginner skills...
https://qubeshub.org/publications/1752/?v=1
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Statistics Overview
09 Sep 2019 | Teaching Materials | Contributor(s):
By Claudia Neuhauser
University of Houston
A Numbers Count statistics diagram
https://qubeshub.org/publications/1407/?v=1
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REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
28 Aug 2019 | Teaching Materials | Contributor(s):
By Jessica Joyner
CUNY Brooklyn College
Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
https://qubeshub.org/publications/1314/?v=1
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Passion-Driven Statistics
03 Jun 2019 | Teaching Materials | Contributor(s):
By Lisa Dierker
Wesleyan University
E-book in .pdf format and customizable .iba format
https://qubeshub.org/publications/1257/?v=1
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Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
04 Jan 2019 | Teaching Materials | Contributor(s):
By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3
1. Viterbo University 2. Juniata College 3. Pennsylvania State University
This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...
https://qubeshub.org/publications/1005/?v=1
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DataCamp
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
https://qubeshub.org/publications/913/?v=1
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50 Years of Data Science
30 Oct 2018 | Teaching Materials | Contributor(s):
By David Donoho
Stanford University
This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...
https://qubeshub.org/publications/912/?v=1