Tagged JMM2019

JMM Session: Technology and Resources for Teaching Statistics and Data Science

This blog post is a collection of the presentations from the session I chaired at the 2019 Joint Mathematics Meeting. The session was titled “Technology and Resources for Teaching Statistics and Data Science”. It was co-sponsored by the MAA Committee on Technology in Mathematics Education (CTiME) and the SIG-MAA: Statistics Education (Stat-Ed).

The abstract for the session was:

One of the five skill areas in the American Statistical Association’s curriculum guidelines is “Data Manipulation and Computation” (pg. 9), embracing the need for students to be competent with programming languages, simulation techniques, algorithmic thinking, data management and manipulation, as well as visualization techniques. Additionally, the emphasis on using real data and problems and their inherent complexity means that technology is often necessary outside of specifically prescribed computational courses. This session invites instructors to contribute talks exploring the use of any software or technology in statistics education. Talks may include effective instructional or pedagogical techniques for linking programming to statistics, interesting classroom problems and the use of technology to solve them, or more.

Abstracts for the talks can be found here.

Teaching a Technology-Rich Intro Stat Course in a Traditional Classroom, presented by Patti Frazer Lock, St. Lawrence University

Using the Islands in an Introductory Statistics Course. presented by Carl Clark, Indian River State College

StatPowers-A Simple Web-Based Statistics Suite for Introductory Statistics, presented by Brian R Powers, Arizona State University

Using R Programming to Enhance Mathematical and Statistical Learning, presented by Joseph McCollum, Siena College

Computational Experience for Linear Regression and Time Series using R, presented by Rasitha R. Jayasekare, Butler University

Statistics teaching and research with R, presented by Leon Kaganovskiy, Touro College

GAISEing into the Future with Fun, Flexible Mobile Data Collection and Analysis, presented by Adam F. Childers, Roanoke College

Written Vs. Digital Feedback; Which improves Student Learning?, presented by David R. Galbreath, United States Military Academy

Using Authentic Data in Spreadsheet Assignments and Quizzes to Improve Students’ Attitudes towards Elementary Statistics, presented by Daniel A. Showalter, Eastern Mennonite University

Democratizing Data: Expanding Opportunities for Students in Data Science, presented  by Robin L. Angotti, University of Washington Bothell

I hope to have in the future the recordings of the session posted. Stay tuned for an updated post (I’ll also send an announcement).