USCOTS 2025 - Workshops

Tuesday July 15th, 1:00 pm

W01: Teaching intermediate R (Tues, July 15, 1:00 pm – Wed, July 16th at 4:15 pm)

Kelly Bodwin (Cal Poly San Luis Obispo), Tyson Barrett (Highmark Health and Utah State University), Allison Theobold (Cal Poly San Luis Obispo)

W02: Teaching statistical learning: An active approach using R and tidymodels (Tues, July 15, 1:00 – 4:15 pm)

Adam Loy (Carleton College), Jaime Davila (St. Olaf College)

Wednesday July 16th, 8:30 am

W03: Learning R, stress free: Welcome to the tidyverse (Wed, July 16, 8:30 am – Thur, July 17, 11:45 am)

Savannah Kelly (University of Mississippi)

W04: Rethinking introductory statistics: A modeling-first approach grounded in learning science (Wed, July 16, 8:30 am – 4:15 pm)

Icy (Yunyi) Zhang (University of Wisconsin-Madison), Ji Yun Son (California State University, Los Angeles)

W05: Empowering students through data: Teaching socially relevant statistics with CODAP (Wed, July 16, 8:30 am – 4:15 pm)

Heather Barker (Elon University), Bridget Druken (California State University, Fullerton), Tim Erickson (Epistemological Engineering), Larry Cantwell (Elon University)

W06: Learner centered course design (Wed, July 16, 8:30 am – 4:15 pm)

Krista Varanyak (University of Virginia)

W07: Models for Teaching Statistical Thinking in Introductory and Intermediate Statistics Courses (Wed, July 16, 8:30 – 11:45 am)

Beth Chance (Cal Poly - San Luis Obispo), Karen McGaughey (Cal Poly - San Luis Obispo), Soma Roy (Cal Poly - San Luis Obispo), Todd Swanson (Hope College), Nathan Tintle (University of Illinois - Chicago) and Jill VanderStoep (Hope College)

Wednesday July 16th, 1:00 pm

W08: Online statistics courses: models for teaching and engaging students in asynchronous and synchronous settings (Wed, July 16, 1:00 – 4:15 pm)

Beth Chance (Cal Poly - SLO), Karen McGaughey (Cal Poly - SLO), Soma Roy (Cal Poly - SLO), Anelise Sabbag (Cal Poly - SLO), Todd Swanson (Hope College), Nathan Tintle (University of Illinois - Chicago) and Jill VanderStoep (Hope College)

Thursday July 17th, 8:30 am

W09: Connecting students to real-world data: Bringing web scraping and API queries into classroom projects (Thur, July 17, 8:30 am – 4:15 pm)

Immanuel Williams (Cal Poly San Luis Obispo)

W10: Less is more: Writing code in an introductory data science course (Thur, July 17, 8:30 – 11:45 am)

Chris Malone (Winona State University), Todd Iverson (Winona State University)

W11: Reimagining intro stats through data science: A hands-on approach with ModernDive (Thur, July 17, 8:30 – 11:45 am)

Chester Ismay (Portland State University), Arturo Valdivia (Indiana University)

Thursday July 17th, 1:00 pm

W12: Modules to support statistics instructors in actively engaging students with authentic data (Thur, July 17, 1:00 – 4:15 pm)

Sunghwan Byun (North Carolina State University), Jennifer Green (Michigan State University), Maria Cruciani (Michigan State University), Matthew Ferrell (North Carolina State University), Justin Post (North Carolina State University)

W13: Creating interactive modules for teaching with sports data (Thur, July 17, 1:00 – 4:15 pm)

Ivan Ramler (St. Lawrence University), Nick Clark (St. Thomas University), Michael Schuckers (University of North Carolina – Charlotte)

W14: Poems and lyrics for teaching statistics! (Thur, July 17, 1:00 – 4:15 pm)

Lawrence (Larry) Lesser (The University of Texas at El Paso)

W15: Doing data science in Positron (Thur, July 17, 1:00 – 4:15 pm)

Mine Cetinkaya-Rundel (Duke University) and Hadley Wickham (Posit)

W16: Spark curiosity: LLM-driven strategies for teaching and learning with data (Thur, July 17, 1:00 – 4:15 pm)

Chester Ismay (Portland State University), Arturo Valdivia (Indiana University)

Legend

Breakout
Keynote
Workshops
Posters & Beyond
Exhibitors
Research Satellite
Other

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