USCOTS 2023 - Posters & Beyond

Friday, June 2nd

F01: A comparison of visualization and calculation to teach interaction terms in multiple linear regression

Daisy Philtron (Colorado School of Mines)

F02: Gender inclusive activities in an introductory statistics class

Eric Friedlander (Saint Norbert College), Jax Mader (Purdue University), V. N. Vimal Rao (University of Minnesota)

F03: Gender inclusivity from the perspective of non-cisgender students

V. N. Vimal Rao (University of Minnesota), Jax Mader (Purdue University), Eric Friedlander (Saint Norbert College)

F04: Alternative grading practices for statistics courses

Heather Barker (Elon University), Nicholas Bussberg (Elon University)

F05: Co-creating learning experience with students in group data science projects

Qian Zhao (Stanford University)

F06: Data science in action: real-world final projects in an introductory course

Katherine Shoemaker (University of Houston - Downtown)

F07: Feel the fear and do it anyway: perceived gains from the Passion-Driven Statistics project-based introductory statistics course

Janet Rosenbaum (SUNY Downstate Health Sciences University), Lisa Dierker (Wesleyan University)

F08: From black box to shining spotlight: using random forest prediction intervals to illuminate the impact of assumptions in linear regression

Andrew Sage (Lawrence University)

F09: Grappling with statistical limitations through discussion activities in the introductory classroom

Dylan Glotzer (Meredith College)

F10: Helping students become good communicators of data: start 'em early!

Jane Robertson Evia (Virginia Tech)

F11: Improving preservice teachers' data visualization

Michael Daiga (Wittenberg University)

F12: Learning statistics through music and collaboration: the case of albums and algorithms

Benjamin M Torsney (Temple University ), Catherine Pressimone Beckowski (Temple University), Amani Rush (Temple University), Fernando Roldan (Temple University), Shane Nelson (Temple University), Francisco Villa (Temple University)

F13: Let's talk about data | CANCELLED

Shonda Kuiper (Grinnell College)

F14: Leveraging educational technology to support communication with/about data

Catherine Case (University of Georgia)

F15: Measuring statistical literacy surrounding confidence intervals

Susan Lloyd (The Pennsylvania State University), Matt Beckman (The Pennsylvania State University)

F16: Mobile apps for communicating with data

Bernhard Klingenberg (New College of Florida and Williams College)

F17: Modeling police salaries

Wib Leonard (Illinois State University)

F18: Old MacDonald had a farm: using data from the past

Kenneth M. Brown (College of San Mateo)

F19: Passion-Driven Statistics

Kristin R. Flaming (Valdosta State University), Lisa Dierker (Wesleyan University), Jennifer Rose (Wesleyan University)

F20: Playmeans: exploratory data analysis using music from Spotify

Davit Khachatryan (Babson College)

F21: Promoting inclusion and a sense of belonging in a new intro stats course: an inside-out bottom-up approach

Shu-Min Liao (Amherst College)

F22: Statistical writing and revision workshop: demonstrating a student-facing text visualization software tailored to a foundational statistics course

Michael Laudenbach (Carnegie Mellon University)

F23: Talking in code: code review as a form of communication

Regina Lisinker (University of Minnesota, Twin Cities), Andrew Zieffler (University of Minnesota, Twin Cities), Chelsey Legacy (University of Minnesota, Twin Cities)

F24: Teaching and student exploration of convergence concepts using interactive Shiny applications

Xiaoxia Champon (North Carolina State University), Dr. Justin Post (North Carolina State University)

F25: Upgrading by ungrading

Wendy Rummerfield (California State University East Bay ), Josue Alcaraz (California State University East Bay ), Shonushka Sawant (California State University East Bay )

F26: Using collaborative keys to promote active learning and student engagement for in-person or online courses

Michael R Jiroutek (Campbell University), Laura Le (University of Minnesota), Steven Foti (University of Florida), V. N. Vimal Rao (George Washington University)

F27: Using the “sword” of data to teach communication of problems and solutions

Elise Murowchick (Seattle University), Robin Yaure (Penn State Mont Alto), Jacqueline Schwab (Penn State Mont Alto)

F28: More than just the mean: communicating effectively about descriptive statistics and graphs (esports activity)

Melissa Crow (New College of Florida)

Saturday, June 3rd

S01: A multi-instructor creation and implementation of a free question bank for introductory statistics

Ryne VanKrevelen (Elon University), Andrew Dellinger (Elon University), Heather Barker (Elon University), Mark Weaver (Elon University)

S02: Alumni writing in statistics in early careers

Nicholas Bussberg (Elon University), Laura Taylor (Elon University)

S03: Budburst citizen science: bringing data to life in the classroom

Sarah Jones (Chicago Botanic Garden)

S04: Communicating through computing: incorporating writing-intensive framework into a statistical computing course

Joshua Sparks (The George Washington University)

S05: Communication in the classroom

Paul Hill (Coastal Carolina University)

S06: Creating a standardized assessment to measure learning in introductory data science courses

Evan Dragich (Duke University) et al.

S07: Design aspects of contingency tables and student reasoning

Sheri Johnson (The Mount Vernon School)

S08: Developing data science skills using Call of Duty® data

Matt Slifko (The Pennsylvania State University)

S09: Effects of teaching through relevant contexts on statistical literacy: evidence from a curricular experiment

Sayali Phadke (Pennsylvania State University), Matthew Beckman (Pennsylvania State University), Kari Lock Morgan (Pennsylvania State University)

S10: Integrating statistical thinking into high school science curricula with RShiny applets

Jack M Wolf (University of Minnesota Division of Biostatistics), Kody DeGolier (University of Minnesota Division of Biostatistics), Marta Shore (University of Minnesota Division of Biostatistics)

S11: Introductory data science course project: retrieving data from an API and conducting an EDA

Justin Post (North Carolina State University)

S12: Introductory statistics course redesign: a collaborative effort

Lisa W. Kay (Eastern Kentucky University), Ciana Applegate (Eastern Kentucky University), James Mark Grogan (Eastern Kentucky University), Judy Jenkins (Eastern Kentucky University), James Johnston (Eastern Kentucky University)

S13: Making statistics relevant for the 'non-mathy' student: answering why and how questions | CANCELLED

Susan Archer (Mitchell College)

S14: MASDER your educational research: how to cohesively study students, instructors, and the learning environment

Alana Unfried (California State University, Monterey Bay) et al.

S15: Methods for implementing active learning in hybrid and online statistics courses

Brandon George (Thomas Jefferson University)

S16: Mice dice for elementary educators

Joseph Nolan (Northern Kentucky University)

S17: Promoting inclusive coding education via RBlocks: a new visual-based tool for teaching R

Shu-Min Liao (Amherst College)

S18: Statistical literacy through constructed knowledge

Samantha Patterson (University of Texas at El Paso)

S19: Teaching statistical significance under a true and false null hypothesis

Eugene Komaroff (Keiser University Graduate School)

S20: Teaching statistics students about accessibility

Kelly Spoon (San Diego Mesa College)

S21: The Metropolitan Chicago Data Science Corps (MCDC): learning from data to support communities

Philip Yates (DePaul University)

S22: Using Plickers to teach statistical concepts

Nicholas Mandarano (The Ohio State University)

S23: “I'm interested because….”: what motivates women to take data science courses

Jeanne McClure (North Carolina State), Hamid Sanei (North Carolina State University), Sunghwan Byun (North Carolina State University)

S24: “Predict the plot”: honing mental models by predicting how graphs will change

Ross Metusalem (JMP Statistical Discovery)

Legend

Breakout
Keynote
Workshops
Posters & Beyond
Exhibitors
Research Satellite
Other

Note: All times are listed in Eastern Time.