USCOTS 2019 - Breakouts

Friday May 17th, 9:45 am – 11:00 am

1A: An Activity for Students, Professional Learning for Teachers, and Measuring Statistical Literacy

With Jane Watson (University of Tasmania)

1B: Exposing students to data science – without coding *

With Tim Erickson (Epistemological Engineering)

1C: Randomization tests – beyond one/two means and proportions *

With Patti Frazer Lock & Robin Lock (St. Lawrence University); Kari Lock Morgan (Pennsylvania State University)

1D: "Many Students, One Dataset": Using ISLE to Teach Reproducibility and the Impact of Data Analysis Decisions on Conclusions

With Rebecca Nugent, Ron Yurko, Philipp Burckhardt, & Francis Kovacs (Carnegie Mellon University)

1E: Degrees of freedom: WTF?!

With Jeff Witmer (Oberlin College)

1F: Preparing teachers to help secondary students evaluate evidence

With Andrew Ross (Eastern Michigan University)

1G: Evaluating validity evidence for instruments in statistics education

With Leigh Harrell-Williams (University of Memphis) & Douglas Whitaker (Mount Saint Vincent University)

1H: My intro stats students write a research paper, and yours can, too!

With Brooke Orosz (Essex County College)

Friday May 17th, 3:00 pm – 4:15 pm

2A: Discussion of "Moving to a world beyond p < 0.05"

With Ron Wasserstein (American Statistical Association), & Allen Schirm (Mathematica Policy Research; retired)

2B: Using think-aloud interviews to assess student understanding of statistics concepts *

With A Reinhart, P Burckhardt, P W Elliott, C Evans, A Luby, M Meyer, J Orellana, R Yurko, G Weinberg, J Wieczorek, R Nugent (Carnegie Mellon University)

2C: Statistical practices: what do statisticians do? *

With Layla Guyot & Alexander White (Texas State University)

2D: Using videos of students' statistical reasoning to support preservice teachers' learning of content and pedagogy

With Rick Hudson (University of Southern Indiana), Hollylynne Lee & Gemma Mojica (NC State University)

2E: Exploring student approaches to model construction in a simulation-based inference curriculum

With Jason Dolor, Kit Clement, Andrew Zieffler, Jennifer Noll, & Dana Kirin (Portland State University)

2F: Data-rich visualization tasks for secondary preservice teachers with "hidden" statistical topics

With Michael Daiga (Wittenberg University)

2G: Making statistics memorable: creation and evaluation of mnemonics

With Megan Mocko (University of Florida), Larry Lesser, Amy Wagler, & Wendy Francis (University of Texas at El Paso)

2H: Implementing reproducible research in statistics courses using Git/Github

With Adam J Sullivan (Brown University) & Matthew Beckman (Pennsylvania State University)

Saturday May 18th, 9:45 am – 11:00 am

3A: How to get Bayesian methods into the curriculum and into the classroom

With John Krushke (Indiana University)

3B: Using think-aloud interviews to assess student understanding of statistics concepts *

With A Reinhart, P Burckhardt, P W Elliott, C Evans, A Luby, M Meyer, J Orellana, R Yurko, G Weinberg, J Wieczorek, R Nugent (Carnegie Mellon University)

3C: Randomization tests – beyond one/two means and proportions *

With Patti Frazer Lock & Robin Lock (St. Lawrence University); Kari Lock Morgan (Pennsylvania State University)

3D: Supporting inferential reasoning through modeling, simulation, and argumentation

With Gemma Mojica, Heather Barker, Taylor Harrison, Hollylynne Lee, & Asli Mutlu (NC State University), Rick Hudson (University of Southern Indiana)

3E: Corequisite math support for introductory statistics

With Adam Molnar (Oklahoma State University), & Christopher Sauer (Cameron University)

3F: Preparing graduate student instructors to use cooperative learning activities in the classroom

With Laura Ziegler, Anna Peterson, Kevin Kasper, & Ulrike Genschel (Iowa State University)

3G: Evaluating evidence of student understanding

With Camille Fairbourn & John Keane (Michigan State University)

3H: Teaching introduction to data science as a creative writing class

With Alexander Lyford & Michael Czekanski (Middlebury College)

Saturday May 18th, 3:00 pm – 4:15 pm

4A: Follow-up discussion to plenary session

With Kari Lock Morgan (Pennsylvania State University)

4B: Exposing students to data science – without coding *

With Tim Erickson (Epistemological Engineering)

4C: Statistical practices: what do statisticians do? *

With Layla Guyot & Alexander White (Texas State University)

4D: Break into SMILES: exploring web-based "interactive" songs!

With Dennis Pearl (Pennsylvania State University), Larry Lesser (University of Texas at El Paso), John Weber (GSU Perimeter College)

4E: Applied statistics for a youth development program

With Helen E. Burn (Highline College)

4F: Investigating future secondary mathematics teachers' development in statistics

With Elizabeth Arnold (James Madison University), Elijah Meyer & Jennifer Green (Montana State University)

4G: STAT4STEM: A learning platform for introductory statistics

With Eric Simoneau (STATS4STEM.ORG - Boston Public Schools)

4H: Varied and effective ways to present p-values

With Deb Rumsey (The Ohio State University)

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.