eCOTS 2026 - Breakouts

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

Monday June 15th, 2:15 pm – 2:45 pm ET

BK1A: Opportunities and Barriers to Implementing Universal Design for Instruction in Introductory Statistics and Data Science Classrooms

Maria Tackett (Duke University) and Sinem Demirci (California Polytechnic State University)

BK1B: Revise and Resubmit: Tailoring AI-Led Analyses for Joy and Data Discovery

Lauren Samuels, Ashley Mullan, Danni Shi, Seth Young, and Ningkun Zhou (Vanderbilt University)

BK1C: Centering Student Discourse in the Introductory Statistics Classroom

Jennifer McNally and Laura Callis (Curry College)

BK1D: Modernizing a First Course in Design of Experiments

Peter Gao (San Jose State University)

Monday June 15th, 3:00 pm – 3:30 pm ET

BK2A: AI and the 2026 College GAISE Recommendations: Sparking Joy and Discovery in Intro Stat and Intro Data Science

Patti Frazer Lock (St Lawrence University), Maria Tackett (Duke University), and Lisa Kay (Eastern Kentucky University)

BK2B: Impacts of AI in Introductory Statistics (WITHDRAWN)

VN Vimal Rao, Amos Jeng, Tiffany Reyes Denis, and Laura Bandi (University of Illinois)

BK2C: Using AI to Support Student Time Management in Introductory Statistics

Kadron Johnson (The Dana Center and The University of Texas at Austin) and Edith Aguirre (El Paso Community College)

BK2D: Computers are Changing the (Inferential) Game: How You Can Modernize Your Mathematical Statistics Course

Peter Freeman (Carnegie Mellon University)

Tuesday June 16th, 1:15 pm – 1:45 pm ET

BK3A: Scaffolding Success with Projects in the Age of AI

Nicole M. Dalzell and Ciaran Evans (Wake Forest University)

BK3B: A Values-Driven Game for Teaching AI Ethics in the Statistics Classroom

Stacey Hancock, Sara Mannheimer, Scott Young, and Bonnie Sheehey (Montana State University)

BK3C: Positron in the Classroom: Experiences, Tips, and Takeaways from a Joyful Experiment

Mine Çetinkaya-Rundel (Duke University)

BK3D: Why Community-Engaged Statistics and Data Science? Motivations, Obstacles, and Connections in the Age of AI

Laurie Baker (Bates College), Claire Kelling (Carleton College), Tyler George (Cornell College), and Emily Anna Robinson (Cal Poly San Luis Obispo)

Tuesday June 16th, 2:00 pm – 2:30 pm ET

BK4A: Sparking Discovery Through a Newly Developed Integrated Statistics and Quantitative Reasoning Course

Josh Recio (Charles A. Dana Center)

BK4B: Supporting Fun AI Use to Provide Actionable Insights

Hunter Glanz and Brennan Davis (California Polytechnic State University)

BK4C: Rethinking Assessment in the Age of AI: Evidence of Learning Matters More Than Ever

Ji Yun Son, Aleksandra Schilis, and Claudia Sutter (CourseKata)

Tuesday June 16th, 3:45 pm – 4:15 pm ET

BK5A: Talk is Not Cheap: Oral Exams in the Presence of AI

Jacqueline Herman (Northern Kentucky University) and Justin Post (North Carolina State University)

BK5B: Teaching Introductory Data Science: Trial, Error, and Triumph for All

Catalina Medina (California State University Channel Islands), Alma Castro (Cypress College), Mine Doğucu (University of California, Irvine)

BK5C: Breaking the Syntax Barrier: Empowering Students to Code in Any Language

Kateryna Husar and Marie Neubrander (Duke University)

BK5D: The Joy and Discovery of Undergraduate Statistics Projects: USPROC Winners

Ciaran Evans (Wake Forest University) Ranjini Grove (University of Washington), and Victoria Woodard (Notre Dame University)

Wednesday June 17th, 1:15 pm – 1:45 pm ET

BK6A: Trusting our Students in a World of AI

Michelle Everson and Deb Rumsey (The Ohio State University)

BK6B: Learning Beyond the Syllabus: Preparing Adaptive Data Scientists in an AI-Driven World

Tori Ellison (University of Illinois Urbana-Champaign)

BK6C: Seeing Statistics: Sparking Discovery Through AI and Visual Metaphors (WITHDRAWN)

Eliazar Dimalapang (Higher Colleges of Technology - Al Dhanna Campus)

Wednesday June 17th, 2:00 pm – 2:30 pm ET

BK7A: Atypical Activities That Spark Joy and Curiosity

Allison Davidson (Muhlenberg College)

BK7B: Applying Claims-Evidence-Reasoning to Statistical Argumentation

Caitlin Ireland and Travis Weiland (UNC Charlotte)

BK7C: Nevada’s Journey to a Statistics Pathway

Tammi Perez-Rice (University of Texas, Austin) and Amy Mathis (University of Nevada, Las Vegas)

BK7D: Analyzing Students’ Statistics Writing Before and After the Emergence of Large Language Models

Sara Colando and Erin Franke (Carnegie Mellon University)

Legend

Breakout
Keynote
Workshops
Posters & Beyond
Exhibitors
Other

Note: All times are listed in Eastern Time.