USCOTS 2017 - Breakouts

Friday May 19th, 11:15 am – 12:30 pm

1A: Discussing the Gap Between Statistics Education and Statistical Practice

With Rob Kass (Carnegie Mellon University)

1B: Statistics and the Emerging Discipline of Data Science *

With Andrew Zeifler (University Minnesota); Adam Sullivan (Brown University); Jessica Utts (University of California); and Ben Wender (Arizona State University, Tempe)

1C: Implementing GAISE Recommendations *

With Megan Mocko (University of Florida), Robert Carver (Stonehill College), John Gabrosek (Grand Valley State University), Jeff Witmer (Oberlin College), and Beverly Wood (Embry-Riddle Aeronautical University)

1D: Preparing Teachers for Data Analytics in K-12: Mathematical Practices through a Statistical Lens *

With Christine Franklin (University of Georgia), and Anna Bargagliotti (Loyola Marymount University)

1E: Using Formative Assessment to Improve Student Learning in Large Enrollment Classes

With Jennifer Kaplan, Alex Lyford (University of Georgia); and Amy Froelich (Iowa State University)

1F: Our Experiences with Recent Student Projects in Introductory Statistics: Struggles, Solutions, and Successes

With Karen Kinard (Tallahassee Community College); Ambika Silva and Dustin Silva (College of the Canyons)

1G: Life on an Island: Using a Virtual World to Make Statistics Real

With Ann Brearley and Laura Le (University of Minnesota)

1H: Fostering Active Learning with Model Eliciting Activities

With Jeffrey McLean and Michael Schuckers (St. Lawrence University)

Friday May 19th, 3:00 pm – 4:15 pm

2A: Discussing the Use of Raw Data to Integrate Computational and Statistical Thinking

With Deb Nolan (University of California – Berkeley)

2B: Moving beyond introductory statistics to Stat 102 *

With Nathan Tintle (Dordt College), Ann Cannon (Cornell College), Beth Chance (Cal Poly, San Luis Obispo), and Robin Lock (St. Lawrence University)

2C: Multiple Variables and Data Visualization in Intro Stat *

With Kari Lock Morgan (Penn State University)

2D: HILT Activities: High Impact on Student Learning, Little Time in Class to Implement*

With Neal Rogness (Grand Valley State University), Jennifer Kaplan (University of Georgia), and Diane Fisher (University of Louisiana at Lafayette)

2E: Using self-efficacy data to inform teacher preparation and professional development

With Leigh M. Harrell-Williams (U Memphis), Jennifer Lovett (MTSU), Oguz Koklu (UGA), Hollylynne Lee (NC State), M. Alejandra Sorto (TX State), Rebecca L. Pierce (Ball State), Lawrence M. Lesser (UTEP), and Christine Franklin (UGA)

2F: Critical Thinking with Data Visualization

With Leanna House (Virginia Tech)

2G: Why Statistics is Not Data Science

With Christopher J. Malone and Tisha Hooks (Winona State University)

2H: Show Me the Missing Data

With Juana Sanchez (UCLA)

Saturday May 20th, 11:00 am – 12:15 pm

3A: Discussing the Teaching of Data Science and Statistical Computation to Undergraduates

With Mine Çetinkaya-Rundel (Duke University)

3B: Statistics and the Emerging Discipline of Data Science *

With Andrew Zeifler (University Minnesota); Adam Sullivan (Brown University); Jessica Utts (University of California); and Ben Wender (Arizona State University, Tempe)

3C: Multiple Variables and Data Visualization in Intro Stat *

With Kari Lock Morgan (Penn State University)

3D: HILT Activities: High Impact on Student Learning, Little Time in Class to Implement*

With Neal Rogness (Grand Valley State University), Jennifer Kaplan (University of Georgia), and Diane Fisher (University of Louisiana at Lafayette)

3E: Bringing Data and Tools Into Classrooms Through Online Large-Scale Teacher Education

With Hollylynne Lee, Christina Azmy, Kemal Akoglu, and Gemma Mojica (NC State); Jennifer Lovett (MTSU); Stephanie Casey (EMICH); and Rick Hudson (USI)

3F: Data-focused activities and lessons in seminar-style introductory classes

With Aimee Schwab-McCoy (Xavier University), Ming-Wen An Wissmann (Vassar College), and Adam Molnar (Oklahoma State University)

3G: Mentoring Undergraduate Research Students: Benefits and Barriers

With Joseph Nolan (Northern Kentucky University), Nathan Tintle (Dordt College), Kelly McConville (Swarthmore College), Vittorio Addona (Macalester College), and Dennis Pearl (Penn State University)

3H: Show Me the Business Statistics Data!

With Deborah Rumsey (Ohio State University), and Camille Fairbourn (Utah State University)

Saturday May 20th, 1:30 pm – 2:45 pm

4A: Deepening Conceptual Understanding: Mini-Essays to the Rescue!

With Jay Lehmann (College of San Mateo)

4B: Moving beyond introductory statistics to Stat 102 *

With Nathan Tintle (Dordt College), Ann Cannon (Cornell College), Beth Chance (Cal Poly, San Luis Obispo), and Robin Lock (St. Lawrence University)

4C: Implementing GAISE Recommendations *

With Megan Mocko (University of Florida), Robert Carver (Stonehill College), John Gabrosek (Grand Valley State University), Jeff Witmer (Oberlin College), and Beverly Wood (Embry-Riddle Aeronautical University)

4D: Preparing Teachers for Data Analytics in K-12: Mathematical Practices through a Statistical Lens *

With Christine Franklin (University of Georgia), and Anna Bargagliotti (Loyola Marymount University)

4E: Teaching authentic data science without pre-requisites

With Matthew Beckman (Penn State University), and Daniel Kaplan (Macalester College)

4F: Simulation-Based Activities for Inferential Reasoning of Mathematics Teachers

With Maryann Huey (Drake University), and Wendy Weber (Central College)

4G: Using Graphical Representations of Students’ Knowledge as a Learning Activity

With Roy Clariana, Glenn Johnson, and Whitney Zimmerman (Penn State University)

4H: Helping English Language Learners Navigate Probability Vocabulary and Concepts

With Amy Wagler and Lawrence M. Lesser (University of Texas at El Paso)

Legend

Birds of a Feather
Breakout
Keynote / Panel
Workshop
Poster Session
Tech Talk
Sponsored
Other

※ Denotes tentative session.

* Denotes repeated session.

Note: All times are listed in Eastern Time.