Culturally Relevant Data in Teaching Statistics and Data Science Courses
Tuesday, May 21, 2024 4:00 - 4:30 pm ET
Presented by: Travis Weiland (University of Houston) and Immanuel Williams (California Polytechnic State University, San Luis Obispo)
Abstract: In this May edition of the JSDSE/CAUSE webinar series, we highlight the 2023 article: Culturally Relevant Data in Teaching Statistics and Data Science Courses. The authors will discuss how to make data more meaningful to students through the choice of data and the activities they use to draw upon students' lived experiences. In translating scholarship around culturally relevant pedagogy from the fields of education and mathematics education they develop the idea of culturally relevant data, which they use to implement culturally relevant pedagogy in teaching data-intensive courses, leveraging the centrality of context through data in both statistics and data science to engage students particularly from historically marginalized groups in STEM. They provide suggestions as to ways of finding or creating culturally relevant data and using them, and they also present findings from pilot work on implementing these data in statistics courses.
Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2023.2249969
The webinar is free but pre-registration is required. Please sign up at: https://www.causeweb.org/cause/webinar/jsdse/2024-05
Please join us!
Ciaran Evans
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 95th 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
https://www.causeweb.org/cause/caption-contest/april/2024/submissions
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 to eCOTS2024.
Enjoy.
[cid:c927de11-7951-4ad5-a07a-efa3d59e49bd]
March Results:
The March caption contest cartoon is shown above. The judges found the winning caption to be “Left unsupervised, confounding children will turn raw data into processed junk” submitted by Grant Zoo a student at the University of Virginia. Grant’s caption illustrates the idea that an inappropriate process of collecting data may be a confounder in its interpretation. An honorable mention this month goes to an anonymous submission for the caption "Tossing out the outliers does not leave you will a healthy data set.,” similar to the winning caption this one, focusing on outliers, helps in discussing the idea that grabbing just the data you want does not provide a representative sample.
Thanks to everyone who submitted a caption and congratulations to our winners!
Finally, we would like to recognize the great work of Gary Hatfield from South Dakota State University who is retiring this semester and leaving the caption contest judging panel after eight years. If you would like to take part in the judging of the CAUSE caption contest please email Dennis Pearl at dkp13(a)psu.edu<mailto:dkp13@psu.edu> by April 20th.
Hello everyone,
We are delighted to announce the winners of the Undergraduate Statistics Project Competition (USPROC) Fall 2023 submission cycle!
USPROC includes the Undergraduate Statistics Class Project (USCLAP) competition which has introductory and intermediate categories, and an Undergraduate Statistics Research Project (USRESP) competition. The winners of the competitions and links to their projects may be found at the sites below:
* USCLAP winners: https://www.causeweb.org/usproc/usclap/2023/fall/winners
* USRESP winners: https://www.causeweb.org/usproc/usresp/2023/fall/winners
Congratulations to all student winners and their faculty mentors!
Please encourage students to submit their class projects, capstone projects, and independent research projects for our next cycle. The new deadline is Friday, June 21st, 2024. Learn more about the project competitions at the USPROC website<https://www.causeweb.org/usproc>. Winners receive cash prizes and have the opportunity to present at the Electronic Undergraduate Statistics Research Conference (eUSR)!
If you’re interested in judging projects for the Spring 2024 submission cycle, fill out this form<https://forms.gle/jMTttcVJYhxn1kvr5>. Anyone interested in judging projects will be given projects to judge.
The Electronic Undergraduate Statistics Research Conference (eUSR), which runs each fall, is a FREE online conference where undergraduate statistics & data science students present their work, learn more about careers in statistics & data science, and acquire valuable information about applying to, and succeeding in, graduate school. Past keynote speakers have included Robert Santos, Director - U.S. Census Bureau and Sydeaka Watson, Senior Research Scientist (Data Scientist) at Eli Lilly and Company. All undergraduate students and faculty are invited to attend. The next eUSR will take place in early November 2024. The event is free, but registration is required. Please encourage your students to attend and participate in this year’s conference. Learn more about the free conference at the eUSR website<https://www.causeweb.org/usproc/eusr/2023>.
Best,
Jennifer Ward, Juanjuan Fan, Ciaran Evans, Monika Hu, Shaoyang Ning
Co-Chairs of USPROC + eUSR
