eCOTS 2026 - Posters & Beyond

Program in development and may be updated. Please check back for the latest information.

Monday, June 15th

PnB-M01 - WITHDRAWN: A Social Cognitive Career Theory Based Measure of Statistics Goals

Laura M. Bandi (Toronto Metropolitan University) and V.N. Vimal Rao (University of Illinois)

PnB-M02 - An AI Slop Typology: Embedding Professional Norms for Responsible AI Use in Data Science Courses

Tori Ellison (University of Illinois Urbana-Champaign)

PnB-M03 - Beyond Points: Alternative Grading with Portfolios, Standards-Based Assessment, and Generative AI

Brianna Hitt (United States Air Force Academy) and Jessica Hauschild-Eastman (United States Air Force Academy)

PnB-M04 - Data Telephone: A Game for Teaching Accessibility & Visual Literacy

Evan Fryer (St. Michaels University School, Victoria, BC) and Mine Doğucu (University of California, Irvine)

PnB-M05 - Design and Implementation of an Interactive Bayes' Lab in a Large Introductory Statistics Course

Rachel Lobay (The University of British Columbia) and Lasantha Premarathna (The University of British Columbia)

PnB-M06 - Elementary Education Students' Data Science Attitudes and Experiences

Jennifer Clinkenbeard (California State University Monterey Bay)

PnB-M07 - Exploring Students' Perceptions of Generative AI Use in Mathematical Statistics

Miguel Rodriguez Mejia (Michigan State University) and Maria Cruciani (Michigan State University) and Jennifer Green (Michigan State University)

PnB-M08 - LLteacher: An AI-Based Tool for Enhancing Students' Learning in Statistics

Emanuela Furfaro (University of Washington) and Simone Mosciatti

PnB-M10 - Promote Responsible AI Use through Peer Review Interventions

Kaiwen Jiang (Michigan State University) and Savvy Barnes (Michigan State University)

PnB-M11 - Statistics as a Dual-Credit Math Pathway

Elaine Hembree (Johnson County Community College) and Whitney Turner (Johnson County Community College)

PnB-M12 - Three Questions to Always Ask about Data

Nathan Favero (American University)

PnB-M13 - Toward a robust and simple guideline for checking the Central Limit Theorem

Visruth Srimath Kandali (California Polytechnic State University, San Luis Obispo)

PnB-M14 - Variables in the Virtual Classroom: A Content Analysis and Exploration of Online Courses in Biostatistics Syllabi of Master's in Public Health Programs

Samantha Estrada (New Mexico State University) and Lucas W. Kirby (New Mexico State University) and Ladybirdy Wong (New Mexico State University)

PnB-M15 - Where Teaching and Learning Meet: A Graduate Course in Statistics Education

Bethany White (University of Toronto) and Nnenna Asidianya; Fred Song; Anastasia Teterina; Alexander Valencia Sanchez (University of Toronto)

PnB-M16 - Finding the Best College: Misconceptions in Multiple Regression

Khanh Do (Grinnell College) and Joyce Gill (Grinnell College) and Shonda Kuiper (Grinnell College)

Tuesday, June 16th

PnB-T01 - Alternative Grading as a Way to Disincentivize Unauthorized AI Use

Ryne VanKrevelen (Elon University) and Nicholas Bussberg (Elon University)

PnB-T03 - Artificial Incompetence: AI's failures in interpreting graphs

Ava J. Graczyk (University of Illinois) and Madeline Y. Hunt (University of Illinois) and V.N. Vimal Rao (University of Illinois)

PnB-T04 - Auto-graded formative coding assessments for life science students

Gracia Dong (University of Toronto) & Amanda Ng (University of Toronto)

PnB-T05 - Blinded but Biased: Students Prefer Chatbot - Until They Know It Is One

Joshua Lambert (University of Cincinnati)

PnB-T06 - Comparing Alternative AI Syllabus Policies for Teaching Introductory Statistical Computing

Mark Weaver (Elon University) and Laura Taylor; Nicholas Bussberg; Kirstie Doehler (Elon University)

PnB-T07 - Comparing students' statistical thinking with and without AI

Tiffany Reyes-Denis (University of Illinois Urbana-Champaign) and V.N. Vimal Rao (University of Illinois Urbana-Champaign) and Amos Jeng (University of Michigan)

PnB-T08 - Critically Evaluating Data Visualization Through Statistical Habits of Mind

Madison E. King (University of Illinois) and Emily E.W. Buhnerkempe (University of Illinois University Laboratory High School) and V.N. Vimal Rao (University of Illinois)

PnB-T09 - Designed For Impact: The Statistical Collaborator's Workflow

Jett Palmer (California Polytechnic State University, San Luis Obispo)

PnB-T10 - Engaging Students with Bingo to Assess Statistical Fluency

Laura Taylor (Elon University) and Larry Cantwell (Elon University) and Keta Henderson (Elon University)

PnB-T11 - Exploring a suite of AI tools to tailor lesson activities for high school statistics students

Lisa Chan (Springfield Township High School)

PnB-T12- Homework 0: Demonstrating Limitations and Practical Considerations for Using AI as a Course Tool

Julie Deeke (University of Illinois Urbana-Champaign)

PnB-T13 - Internal Structure of the Authentic Viz Data Literacy Assessment

Madeline Hunt (University of Illinois at Urbana-Champaign) and Vimal Rao (University of Illinois at Urbana-Champaign) and Kelly Findley and Mia Petrie (University of Illinois at Urbana-Champaign)

PnB-T14 - Signal in the Joys: Resources and Strategies for AI-enriched Educational Fun

Larry Lesser (The University of Texas at El Paso) and Dennis Pearl (retired from Penn State)

PnB-T15 - Teaching Data Viz Best Practices: Learning through AI-Coded Apps

Anna Valeva (Western Illinois University)

PnB-T16 - Teaching with Strands in Introductory Statistics

Jessie Oehrlein (Fitchburg State University)

PnB-T17 - Trauma-Informed Pedagogy in Statistics: Actionable Guidelines to Enhance Engagement and Learning

Nicole Wakim (Oregon Health & Science University)

PnB-T18 BASE-Spark-AI: Baseline Statistical Educational Model with AI Support to Spark Discovery

Ariadni Papana (Cleveland State University)

Wednesday, June 17th

PnB-W01 - Accessible Multimodal Math Materials Made Easy using Quarto

Debbie Yuster (Ramapo College of New Jersey)

PnB-W02 - An AI-Based Educational Technology to Foster Interdisciplinary Data Literacy in Secondary Education

Annika Behrend (University of Kassel) and Huda Koulani (University of Kassel)

PnB-W03 - An In Class Activity Project For Stratified and Cluster Sampling

Shuting Wang (North Carolina State University)

PnB-W04 - Community-Engaged Statistics in the Age of AI: Lessons from the Vermont Prison Research Innovation Network

Karen Benway (University of Vermont) and Abigail Crocker (University of Vermont) and Julie Skarha (University of Vermont)

PnB-W05 - Confusion Matrix DEI: Using Implicit Bias to Master Statistical Classification

Robert Padgett (Butler University)

PnB-W06 - Enhancing Pre-Service Teachers' Statistical Knowledge for Teaching through a Practical Teaching Experience

Kristin Kang (University of Northern Colorado) and Robert Powers (University of Northern Colorado)

PnB-W07 - Fostering Growth Mindset and Statistical Reasoning in a Flipped Biostatistics Course

Kylie Van Dyke (University of Minnesota Rochester) and Dr. Abraham Ayebo (University of Minnesota Rochester)

PnB-W08 - Human-AI Synergy in Business Statistics: Comparing MathGPT.ai in Asynchronous Online versus In-Person Sections

Nadeeshani Jayasena (Portland State University, OR)

PnB-W09 - Human-Centered Integration of Generative AI in Data Visualization Teaching

Xiaoyi Yang (Northeastern University)

PnB-W10 - Interactions Between Conceptualizations of Confidence Level and Error in the Context of Confidence Intervals

Susan Lloyd (Bucknell University)

PnB-W11 - Learning through Tinkering: A Scaffolded Approach to Introducing Data Science Programming Using "Code Blanks"

Anna Fergusson (University of Auckland)

PnB-W12 - Measuring and Evoking Curiosity in Statistics/Probabliity Students

Visruth Srimath Kandali (California Polytechnic State University, San Luis Obispo) and Julia Aptekar (California Polytechnic State University, San Luis Obispo) and Spencer Chinn (California Polytechnic State University, San Luis Obispo)

PnB-W13 - Student (un)achievement since the advent of AI

Camille Fairbourn (Michigan State University)

PnB-W14 - Talking It Through: Podcasts as Low-Stakes, High-Impact Assessment for Career Development in Biostatistics

Kara McCormack (University of North Carolina - Chapel Hill)

PnB-W15 - Using a Hiring Simulation to Teach Statistical Reasoning and Responsible AI Use

Dr. Kehinde Irabor (Concordia University Wisconsin)

PnB-W16 - Application-Based Biostatistics Labs and Student Confidence, Motivation, and Engagement

Sapna R. Bisht (Texas A&M University) and Kenneth Hoyt (Texas A&M University)

Thursday, June 18th

PnB-Th01 - Allowing GenAI for Coding in Statistics and Data Science Courses: How do students code if GenAI is permitted?

Cassandra Pattanayak (Wellesley College)

PnB-Th02 - Ask, Edit, Roleplay: Designing AI Into the Statistics Curriculum

Uma Ravat (University of California at Santa Barbara)

PnB-Th03 - Comparing Descriptions to the Likert Scale: Exploring An Alternative Survey Scale

Otis Hunt (Cal Poly, San Luis Obispo) and Allison Theobold (Cal Poly, San Luis Obispo)

PnB-Th04 - Cultivating Learning and Harvesting Insight: Designing Human-Centered Assessments for Agricultural Statistics

Samantha Robinson (University of Arkansas)

PnB-Th05 - Customizing an OER Textbook to Minimize Costs and Maximize Curricular Alignment

Whitney Zimmerman (Capella University) and Michelle Dennis (Capella University)

PnB-Th06 - Data Science Goes Bananas: Using AI to Analyze Novel Sports Data

Brad Bailey (University of North Georgia)

PnB-Th07 - First Steps to Equipping Students to Ethically Consume Statistical Messages in Social Media

Reem Kharfan (University of Illinois Urbana-Champaign) and Grace Pomaah Amoako (Montclair State University) and Nina Bailey (Montclair State University)

PnB-Th08 - JMP LearnBot: A Custom AI Chatbot for On-Demand Help with Statistics and Software

Ross Metusalem (JMP Statistical Discovery)

PnB-Th09 - MAD about inference: A simple but rigorous alternative to the t-test for data investigations

Jon Hasenbank (Grand Valley State University) and John Appiah-Kubi (Grand Valley State University)

PnB-Th10 - Proof AI-ds: Using ChatGPT as a Proof Coach in Mathematical Statistics

Dalton Hopper (Centre College) and Amanda Ellis (University of Kentucky)

PnB-Th11 - Teaching About Statistical Power: Activity and Evaluation

Alan Reifman (Texas Tech University) and Sylvia Niehuis (Texas Tech University)

PnB-Th12 - Teaching Data Visualization in R with Generative AI

Alana Unfried (California State University Monterey Bay)

PnB-Th13 - Teaching Demos for a Diverse Graduate Engineering Statistics Course

Xiaochen Xian (Georgia Tech)

PnB-Th14 - Teaching Statistical Inference Through a Computer Game with an AI Mediator

Andrei Perkhounkov (Kirkwood Community College)

PnB-Th15 - Infusing personal interests to foster student engagement: exploring the Titanic with logistic regression

Andrea Lane (Duke University)

PnB-Th16 - AI Engagement Activities in Introductory Statistics

Daryl Swartzentruber (Centre College)

Legend

Breakout
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Note: All times are listed in Eastern Time.