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statsTeachR
11 Sep 2018 | Teaching Materials | Contributor(s):
By Nicholas G. Reich1, Andrea S. Foulkes1, Harrel Blatt1, Eric A. Cohen1, Gregory Matthews1
University of Massachusetts
statsTeachR is an open-access, online repository of modular lesson plans, a.k.a. "modules", for teaching statistics using R at the undergraduate and graduate level.
https://qubeshub.org/publications/781/?v=1
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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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SUMS4Bio - Video tutorials in math and stats for biology students
22 Aug 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, Caleb Adams1, Dan Metz1
Radford University
Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology
https://qubeshub.org/publications/747/?v=1
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Teaching biostatistics using the Rule of Four
19 Mar 2023 | Teaching Materials | Contributor(s):
By Rachel Hartnett1, Qingxia Li2, Stacey Kiser3, Anton E Weisstein4
1. Mount St. Mary's University 2. Fisk University 3. Lane Community College, BioQUEST 4. Truman State University
A guide to helping intro bio students develop a deeper understanding of key statistical concepts by translating among numeric, graphical, verbal, and symbolic representations.
https://qubeshub.org/publications/3762/?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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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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The Edge Effect
03 May 2023 | Teaching Materials | Contributor(s):
By Sean McNamara1, Kiersten Newtoff2, Kelly Livernoche2, Allison Bell, Jeff Leips3, Gina Wesley2, William Gretes4
1. Community College of Baltimore County 2. Montgomery College 3. University of Maryland Baltimore County 4. Howard Community College
This module has students venturing outdoors to take a 50m transect and collect abundance data on plants utilizing quadrats in both edge and interior environment. Mathematically the goals of this...
https://qubeshub.org/publications/4292/?v=1
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The Influence of Exotic Plant Invasion on Pollinator Abundance
11 May 2022 | Teaching Materials | Contributor(s):
By Maxcy Nicole Hill
Virginia Commonwealth University
This lesson introduces two global change factors, natural habitat loss and exotic plant invasion, and analyzes how these stressors impact the biodiversity and abundance of pollinator species....
https://qubeshub.org/publications/3055/?v=1
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Using Grassy Narrows in a Live Classroom with Clicker Questions and Interactive Histogram: Sampling Distributions, Probability, and Hypothesis Testing
24 May 2022 | Teaching Materials | Contributor(s):
By Jonathan Andrew Akin
Northwestern State University of Louisiana
Students are introduced to concepts of sampling distributions, p-values, and hypothesis testing. Using both simulated and real data for methylmercury level in fish populations, students will...
https://qubeshub.org/publications/3249/?v=1