JMM 2020

The SIGMAA Stat-Ed held two contributed paper sessions, one invited paper session, two minicourses and a panel discussion. Below are the available slides from the paper sessions and the panel.

Invited Paper Session

Modernizing the Introductory Statistics Course

GAISE 2016 in action.

Beverly Wood, Embry-Riddle Aeronautical University

 

How technology facilitates modernizing intro stats.

Patti Frazer Lock, St. Lawrence University

 

Statistical inference via data science: A "tidy" approach.

Albert Y. Kim, Smith College

 

Stats for data science.

Daniel Kaplan, Macalester College

 

The p-value: Replacing 0.05 with understanding.

Kari Lock Morgan, Pennsylvania State University

 

Conceptual approaches to teaching multivariable statistical thinking: Using simulation methods and visualization.

Beth Chance, Cal Poly -- San Luis Obispo

 

Panel

So You Want to Start an Undergraduate Statistics or Data Science Program?


Judith Canner, California State University, Monterey Bay
Albert Y. Kim, Smith College

Kimberly Roth, Juniata College

Christopher Malone, Winona State University

 

Slides

 

 

Contributed Paper Sessions

Scholarship on Teaching and Learning Statistics


 Videos Lectures to Enhance Student Learning and Performance in an Online Elementary Statistics Course.

Cathy M. Frey, Norwich University

 

SOTL- driven evolution of a university probability course.

J. Todd Lee, Elon University

 

Study of Student Performance and Perceptions in Inverted Introductory Statistics.

Reza O. Abbasian, Texas Lutheran University, Dept of Math and CS Michael L Czuchry, Texas Lutheran University, Department of Psychology

 

Modeling and Statistical Research with R.

Leon Kaganovskiy, Touro College

 

Using GeoGebra for Statistics.

Heather Pierce, Emmanuel College

 

Improving Student Ownership in Introductory Statistics Class through a Project-Based Approach.

Vinodh Kumar Chellamuth, Dixie State University, Saint George, Utah

 

 

Data Across the Curriculum

Data, History, and Design: Finding Common Ground in Contested Landscapes.

McKenzie Lamb, Ripon College

 

Teaching all the Math for Data Science, AI, and Beyond.

Tyler J Jarvis, Brigham Young University

 

Calculus Through a Data Lens: Broadening Scope Through Data and Modeling.

Rachel Grotheer, Goucher College

 

Calculus and Epidemics. Annela R Kelly, Regis College

 

Using Atmospheric Data to Determine How Well a Separable ODE Models the Vertical Motion of a Dry Air Parcel.

Chris Oehrlein, Oklahoma City Community College

 

Using Smartphone Sensor Data in the Mathematics Classroom.

Albert W Schueller, Whitman College

 

Adding data analysis to a mathematical statistics course.

Johanna N.Y. Franklin, Hofstra University