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



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





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