USCOTS 2025 - Posters & Beyond

Friday, July 18th

A Statistics Lab Analyzing Civil War Data to Foster DEI and Social Justice Discussions

Kirsten Doehler (Elon University)

Authentic Data Explorations: Immersive Statistical Investigations in Real-world Contexts

Maria Cruciani (Michigan State University)

Building a Community Resource for Teaching Assistants: The UCSC Statistics TA Wiki

Marcela Alfaro Cordoba (University of California Santa Cruz)

Concepts-Integrated Project-Based Learning (CIPBL): Implementing CIPBL in an Applied Regression Analysis Course

Nelum S.S.M. Hapuhinna (Northern Kentucky University)

Deriving realistic examples of statistical problems for life science majors using ChatGPT

Jacob Andros (Texas A&M University)

ELICS in the classroom – the Educational Level Implications on Careers in Statistics (ELICS) study

Christina M. Wood-Wentz, MS (Mayo Clinic)

Enhancing Classroom Review Through A Cooperative Fantasy-Themed Board Game

Will Boyles (Whitman College)

False advertising: An activity for undergraduate introductory statistics students designed to foster critical thinking about experimental design

Matthew Victor Black (Pennsylvania State University)

Individual Components of Group Projects in Introductory Statistics Classes

Daryl Swartzentruber (Centre College)

Integrate Disability Inclusion Components into Data Science Pedagogy

Shiya Cao (Smith College)

Integrating statistical writing in an applied regression course using small-scale writing projects

Ella Burnham (Winona State University)

Interactive and Dynamic Learning with Desmos and R

Luke Zingg (Arizona State University)

Introducing Critical Statistical Literacy in Pre-service Teacher Education

Miguel Rodríguez Mejía (Michigan State University)

Learning Assistants: A useful model of student support and curricular change in statistics classrooms

Kaitlyn G Fitzgerald (Azusa Pacific University)

Leveraging Peer Learning Assistants and AI to Enhance Student Engagement in Statistics and Data Science

Monsur Chowdhury (University of Georgia)

Logistic and Multinomial Regression with Music Analyses with R Shiny

William Cipolli (Colgate University)

Measuring Curiosity in Intro Stats Students

Visruth Srimath Kandali (California Polytechnic State University)

Multinomial Simulations: Demonstrating How We Can (and Why We Should) Use Them in Place of the Chi-Square Goodness-of-Fit Test

Peter Freeman (Carnegie Mellon University)

POGIL-style activity introducing undergraduates to Bayesian reasoning

Angela Ebeling (Wisconsin Lutheran College)

Programming in DS 101: How does language impact student struggle in intro data science?

Aimee Schwab-McCoy (zyBooks)

Shiny Apps for Teaching Machine Learning

Abhishek Chakraborty (Lawrence University)

Simulation-based R Activities for Introductory Statistics: Fostering Inquiry Through Guiding Questioning

Won chul Song (Milwaukee School of Engineering)

Statistical Storytelling: Weaving a Cohesive Narrative in Introductory Statistics

Nicholas Mandarano (The Ohio State University)

Statistics Abroad? WOW!

Tyler George (Cornell College)

Surprise—they’re different! An introductory statistics activity to highlight differences between Frequentist and Bayesian statistics

Zachary del Rosario (Olin College)

Talking Through Teaching Tensions Together: Exploring Alternate Models of Conversation

Brenna Curley (Moravian University)

Teaching Data Cleaning and Wrangling with R’s data.table Package

Erin Franke (Carnegie Mellon University)

Teaching Data Science At Scale Using Interactive Classroom Demos, Industry Standard Tools, Real Data, and More

Karle Flanagan (University of Illinois Urbana-Champaign)

Teaching how Disparities can be Influenced

Milo Schield (New College of Florida and U. New Mexico)

The Lady Tasting [ChatGP]Tea: A Freshman Seminar Introductory Activity

Melissa Crow (New College of Florida)

Using critical statistical literacy habits of mind in an introductory data science and statistics course for STEM majors

Asja Alic (Montclair State University)

Using Shiny and Google to Create your own Student Response System

Travis Loux (Saint Louis University)

“How should I build the null distribution?”: An exploratory activity via R Shiny applet

Megan Heyman (Rose-Hulman Institute of Technology)

Saturday, July 19th

A Debate Activity to Promote Critical Thinking in Statistics

Aman Ravishankar (University of Illinois)

A Practical Template for Teaching R and Regression Without Cloud Computing or GitHub Classroom

Kara McCormack (UNC - Chapel Hill)

A Simulated Dose-Finding Clinical Trial Activity for High School Students

Anne Hackman (University of Minnesota)

Accepting Uncertainty Depends on the Curriculum

Samin Hemani (University of Illinois)

BASE-on-AI: Baseline Statistical Educational Model for online teaching with AI support

Ariadni Papana (Cleveland State University)

Bringing social interactions to online learning through Collaborative Keys

Lily Cook (Cal Poly San Luis Obispo)

Building Automated Feedback into an Excel Assignment for an Asynchronous Statistics Course

David Phillippi (Belmont University)

Can Your Trust Your P-value?

Shonda Kuiper (Grinnell College)

Challenges and Opportunities for Promoting Visual Data Literacy

Madeline Hunt (University of Illinois)

Connecting Statistical Thinking to the Wider World of Ideas and Events: A Liberal Arts Perspective

David Fluharty (School of Public Health--Indiana University Bloomington)

Data Detective: Uncovering the Story Behind the Numbers!

Leiyue Li (St. Lawrence University)

Enhancing Statistical Reasoning through Descriptive Models and exploratory approach

Tulia Esther Rivera (Universidad Industrial de Santander)

Enhancing the Accessibility of Data Literacy Through Deep Description

Zachary Kline (The College of New Jersey)

Exploring Undergraduate Statisics Majors' Attitudes Towards Writing

Greg Ellison (University of Georgia)

Factors Influencing Students' Motivation and Performance in College Statistics Courses: Senior Independent Study Thesis

Kiran Ravichandran (College of Wooster)

Getting Something for Nothing: Human-friendly Scheffé Complex Comparisons

Gordon Brooks (Ohio University)

Identifying Core Competencies in Introductory Data Science for a Diverse Student Audience: A National Study.

Jennifer Broatch (Arizona State University)

If You Can't Beat It - Require It

Savvy Barnes (Michigan State University)

Insights from Two Years of Implementing an Innovative, Experience-Based Statistics Graduation Requirement

Ryne VanKrevelen (Elon University)

Integrating Statistics and Data Science in an Interdisciplinary S-STEM Program at a Liberal Arts College

Ivan Ramler (St. Lawrence University)

Investigating the impact of choice of data context for statistics homework assignments

Catalina Medina (University of California, Irvine)

Making the positive foundation of statistics learning.

Steephanson Anthonymuthu (Department of Statistics, The Ohio State University)

purrrfect: A tidy approach to simulations in mathematical statistics

Todd Iverson (Winona State University)

Rtutor.AI Data Homeworks – Incorporating AI into Introductory Statistics

Julianna Drew (University of Illinois)

Slow It Down! Techniques to Help Students Make Sense of Primary Source Data Visualizations

Bradford Dykes (Grand Valley State University)

Standardizing R usage to improve student focus on statistical concepts

Aaron Rendahl (University of Minnesota)

Statistical Modeling as a Thought-Revealing Activity

Catherine Case (University of Georgia)

Students’ Statistical Thinking when using Generative AI

Sanjana Gongati (University of Illinois)

Teaching About Statistical Power: Issues and Ideas

Alan Reifman (Texas Tech University)

The Modern High School Math Curriculum Model: Perceptions of Usefulness in Daily Life

Michael R Jiroutek (Campbell University)

Three Demonstrations that Build Intuition for Hypothesis Test Properties

Julie Deeke (University of Illinois, Urbana-Champaign)

Visualizations for making regression models more useful

Ross Metusalem (JMP Statistical Discovery LLC)

Working Backwards: Data Visualization Activities Designed to Promote Struggle

Regina Lisinker (University of Minnesota)

“Are These ‘Model’ Results?” Incorporating Large Language Models into Statistical Writing and Coding

Joshua Sparks (University of California, Los Angeles)

“Who’s not here?”: Fostering a Critical Statistical Literacy Habit of Mind

Reem Kharfan (University of Illinois)

Legend

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Note: All times for USCOTS 2025 are listed in Central Time.