We are writing to let you know about the new R package gradetools. This package is designed with data science instructors in mind. It automates the grading workflow and helps manage personalized feedback for students efficiently. We will be hosting a workshop on Zoom May 10th from 9 - 10 am PT / 12 - 1 pm ET, to introduce gradetools and demonstrate its features. Familiarity with R is recommended.
Registration for the workshop is available at https://uci.zoom.us/meeting/register/tJ0vd-6hpz4tEtWeRXBBG56XO-0m1d2pVGsc.
Further information on the package and tutorials can be found at https://federicazoe.github.io/gradetools.
The workshop is made possible with support from NSF HDR DSC award #2123366 and HPI Research Center in Machine Learning and Data Science at University of California Irvine.
Federica Zoe Ricci
Building a Multiple Linear Regression Model With LEGO Brick Data
Presented By: Anna Peterson and Laura Ziegler, Iowa State University
This month, we highlight the Datasets and Stories article, Building a Multiple Linear Regression Model with LEGO Brick Data, in our Journal of Statistics and Data Science Education webinar series. In the webinar, they present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. During the activity, instructors guide students to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the number of pieces, the theme (i.e., product line), and the general size of the pieces. By starting with graphical displays and simple linear regression, students are able to develop additive multiple linear regression models as well as interaction models to accomplish the task. They conclude with reflections of past classroom experiences.
Laura Ziegler is an Associate Professor of Teaching in the Statistics Department at Iowa State University. She has been teaching statistics since 2006. Laura earned a M.S. in statistics from the University of Nebraska-Lincoln and a Ph.D. in educational psychology – statistics education from the University of Minnesota. Currently, she focuses on coordinating a multi-section introductory statistics course as well as teaches intermediate statistics and regression courses for students of all majors. Laura’s interests include exploring cooperative learning techniques, developing assessments, and collaborating with other educators.
Anna Peterson is an Associate Professor of Teaching in the Statistics Department at Iowa State University. She has been teaching statistics since 2010. Anna earned a M.S. in statistics from the from Iowa State University in 2008 and a Ph.D. in Statistics from Iowa State University in 2011. Currently, she focuses on coordinating multi-section introductory and intermediate courses focused on business statistics. When not working, Anna likes playing soccer, thrifting, taking trips with her family and helping her kids learn to play the violin.
The webinar will take place on Tuesday April 19, 2022 from 4:00 - 4:30pm ET.
Registration is required but is free:
We hope that you can join us for an informative discussion.
Leigh Johnson (Capital University)
Moderator, CAUSE/JSDSE Webinar Series
Registration is Open!
CAUSE is thrilled to be hosting the 2022 electronic Conference On Teaching Statistics (eCOTS) from May 23- 26th (with pre-conference workshops on May 19 - 21st ) offers more than 40 hours of virtual programming. This year's online conference focuses on statistics education at both high school and college levels and all types of learning institutions. The conference theme is "Preparing the Modern Student."
This virtual conference is for anyone who teaches or studies statistics or data science. The program will be exciting with keynote presentations from Rob Gould (UCLA), Mine Cetinkaya-Rundel (Duke University/R Studio), Talitha Williams (Harvey Mudd College), and Nathan Taback (University of Toronto). There will also be pre-conference workshops, breakout sessions, birds of feather conversations, and posters & beyond sessions.
There are also three regional conferences associated with eCOTS - perhaps there is one near you!
The registration is only $25 for the entire week of events ($15 for faculty at CAUSE Institutional Partners) and includes all sessions, workshops, and regional conferences. Registration<https://web.cvent.com/event/e898def5-4828-417c-84db-9ef566887497/summary?rt…> for eCOTS 2022 Preparing the Modern Student is open.
Workshop for Faculty in the Early Stages of their Career
In addition to the workshops you can sign up for during registration, there is also a limited space Workshop, "Survival basics for early-career faculty in statistics education." This workshop is designed for colleagues in their "early" stage as faculty. The workshop will be held online on Friday, May 20th, between 11-1 pm and 1:30 - 3:30 pm ET. Please apply here<https://forms.gle/9mmpyfvgu4Vni8a67> by May 9th.
We will have three reading groups to accompany eCOTS 2022.
Police Violence Reading Group
* When: TBD by Doodle Poll, starts the week of April 18th
* Please sign up by April 11th.
* Facilitator: Tian An Wong, University of Michigan-Dearborn
Diversity and Motivation: Culturally responsive teaching in college by Ginsberg, M. B. & Wlodkowski, R. J.
* When: TBD by Doodle Poll, starts the week of May 9th
* Please sign up by May 2nd
* Facilitator: Tierra Stimson, University of Arizona
Flipped Learning by Robert Talbert
* When: Fridays at 3:00 pm ET and asynchronously through Slack starting the week of May 9th
* Please sign up by May 2nd
* Facilitators: Melissa Crow, New College, and Megan Mocko, University of Florida
More information is posted on the eCOTS 2022 website (https://causeweb.org/cause/ecots/ecots22/reading-groups). Are you interested in participating in a reading group? Please complete the google form<https://forms.gle/82MwrgC5CBhQD5do7>.
Do you have an activity to share related to the four tracks?
1. Statistical and Data Literacy for the Modern Student - what every student needs to know in personal and professional lives.
2. Diversity, Inclusion, and Social Justice in data science and statistics.
3. Preparing Mentors, Leaders, and Teachers for tomorrow.
4. The (old and new) skills are needed for the modern data scientist and statistician.
The due date to submit is April 15th, 2022. Top winners will receive a cash award and present their activity at eCOTS. More information is posted on the eCOTS 2022 website (https://causeweb.org/cause/ecots/ecots22/activity-contest/submit ).
Please let me know if you have any questions at Megan.Mocko(a)warrington.ufl.edu<mailto:Megan.Mocko@warrington.ufl.edu> .
University of Florida
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The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 71st Cartoon Caption Contest! Each month a cartoon, drawn by British cartoonist John Landers, is posted for you and your students to suggest statistical captions (cartoons are posted at the beginning of the month and submissions are due at the end of the month). The caption contest is offered as a fun way to get your students thinking independently about statistical concepts.
The next cartoon and the entry rules for the contest ending April 30 are at
The best submission will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the final cartoon or free registration for eCOTS.
[A picture containing engineering drawing Description automatically generated]
The March caption contest cartoon is shown here. The winning caption for the contest was "Even the Statistical Genie-us couldn't beat the house," written by Rich Einsporn from the University of Akron. Rich's caption provides a good way to introduce the Law of Large Numbers using the negative expectation for games of chance at a casino. An honorable mention this month goes to Erik Svenneby, a student at University of Colorado Boulder for his caption "The Casino: where the rich go to drive the GINI coefficient down,"
which invites classroom conversation about why the GINI measure of inequality for wealth would be reduced when rich people play at the casino.
Thanks to everyone who submitted a caption and congratulations to our winners!
Are you an undergraduate student who would like to gain hands-on experience
in analyzing data collected from biomedical studies to help prevent and
treat various diseases? Are you curious about career options and graduate
degree opportunities in biostatistics and biomedical data science? If so,
UCI is now accepting applications for its new Irvine Summer Institute in
Biostatistics and Undergraduate Data Science (ISI-BUDS
ISI-BUDS is a six-week summer program introducing undergraduate students to
modern methodology and practice of biostatistics and data science. The
program will highlight applications in cutting edge biomedical research,
will train students in fundamentals of biostatistics, data science, and
computing, and will culminate in a team project co-supervised by
statisticians and biomedical scientists.
*Support*: there are no costs or fees associated with the program.
Moreover, accepted participants will be provided with
• up to $500 to cover travel expenses
• free housing that includes a meal plan (local students who do not need
housing will receive a $2,500 stipend)
• $600 stipend for incidental expenses
*Application*: check your eligibility and apply here (
https://www.stat.uci.edu/isi-buds/apply.html). We strongly encourage
applications from students from historically excluded groups.
Mine Dogucu, PhD
Assistant Professor of Teaching and
Vice Chair of Undergraduate Studies
Department of Statistics
University of California Irvine
Website: minedogucu.com <https://mdogucu.ics.uci.edu/>
Twitter: @MineDogucu <https://twitter.com/MineDogucu>
LinkedIn: minedogucu <https://www.linkedin.com/in/minedogucu/>