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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
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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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A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
https://qubeshub.org/publications/833/?v=1
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AIMS- Analyzing Images to learn Mathematics and Statistics - studying leaf cutter ants to learn linear regression
03 Jan 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak
Radford University
This is a teaching resource that uses fascinating images and videos of leaf cutter ants foraging in Panama to provide an engaging context for students to learn about mathematics and statistics.
https://qubeshub.org/publications/239/?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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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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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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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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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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Ecological Forecasting Repository of Online Educational Resources
18 Dec 2021 | Teaching Materials | Contributor(s):
By Alyssa Willson, Jody Peters1
University of Notre Dame
This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.
https://qubeshub.org/publications/2827/?v=1
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Exploring Marine Primary Productivity with Descriptive Statistics and Graphing in Excel
02 Sep 2021 | Teaching Materials | Contributor(s):
By Marina McLeod1, Jennifer Olson1, Wendy Houston1
Everett Community College
In this activity, students use real water chemistry data and descriptive statistics in Excel to examine primary productivity in an urban estuary of the Salish Sea. They will consider how actual...
https://qubeshub.org/publications/2747/?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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Gender and Classroom Participation: A Case for Quantitative Analysis
24 Mar 2022 | Teaching Materials | Contributor(s):
By Reimbay Reimbayev*
Auburn University
Teaching statistics to students using authentic research is one way to highlight the transferability and value of the material taught in the class. Below we describe an activity in Statistics for...
https://qubeshub.org/publications/2875/?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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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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Java Applets for Power and Sample Size
30 Oct 2018 | Teaching Materials | Contributor(s):
By Russ Lenth
Statistics and Actuarial Science Department, University of Iowa
This is a Java application that allows you to do power and sample-size calculations for a number of standard statistical models.
https://qubeshub.org/publications/899/?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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Linear Models and Linear Mixed Effects in R: Tutorial 1
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The first of two tutorials that introduce you to linear and linear mixed models.
https://qubeshub.org/publications/832/?v=1
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Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics
03 Dec 2021 | Teaching Materials | Contributor(s):
By Irene Corriette1, Beatriz Gonzalez1, Daniela Kitanska2, Henriette Mozsolits2, Sheela Vemu3
1. Santa Fe College 2. Passaic County Community College 3. Waubonsee Community College
Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The...
https://qubeshub.org/publications/2811/?v=1