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Announcing the 2021 Summer Workshops

This summer, StatPREP will offer free virtual workshops on four different themes: StatPREP Little Apps, Introduction to RStudio, Intermediate/Advanced RStudio, and Data Science. Each workshop will run twice over the course of the summer - once in June and once in July - as shown in the schedule below. All workshops will be held from 12pm-3pm ET.

June: Data Science - June 1, Little Apps - June 10-11, Intro to RStudio - June 18-19, Advanced RStudio - June 24-25; July: Little Apps - July 9-10, Intro to RStudio - July 15-16, Advanced RStudio - July 23-24, Data Science - July 31.


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Little Apps Workshop

This workshop is an introduction to the philosophy of StatPREP and several of the Little Apps that can be used to demonstrate datacentric ideas to your students. The plan for this StatPREP intro workshop is to have presentations on what it means to have your statistics class be datacentric, and the philosophy behind the ASA’s GAISE statement. There will be hands-on activities on using some of the activities written for the Little Apps, and time for small group discussions. At the end of the first day there will be time for socializing, and the second day starts with a social hour. The idea is to create a community of instructors who can ask each other for advice. If you are new to teaching statistics or have been teaching for awhile but would like to add more life to your statistics course, this is a great workshop to attend to learn how to incorporate data into your course and be exposed to the StatPREP material.

Introduction to RStudio

This workshop is an Introduction to RStudio. GAISE stresses the idea of using real data, large datasets, and deemphasizing formulas. The best way to follow these guidelines is to use statistical software. One advantage of RStudio is that it is free for students, teachers, and institutions to use. This workshop will introduce you to the basics of RStudio; no prior knowledge of RStudio is expected. 

Intermediate/Advanced RStudio

An Intermediate/Advanced RStudio workshop is offered for those who have some experience  with RStudio and would like to learn more. This workshop is to expose the attendee to some of the more sophisticated commands of RStudio. An interest RStudio novice could attend the Introduction to RStudio workshop and then attend the Intermediate/Advance RStudio workshop on either Thursday, June 24 through Friday, June 25, or Friday, July 23 through Saturday, July 24.

Data Science

You may be contemplating creating a data science program at your institution, but you are not sure where to start. A one-day workshop workshop will feature a panel discussion with several people who have created data science programs at their institutions. The focus will be on community colleges because of the unique issue that community college faces with articulation and workforce development. However, all institution types should gain some insights to create a program at their institution, so all faculty at any college or university are invited to attend. 


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Project Summary

StatPREP will foster the widespread use of data-centered methods and pedagogies in introductory statistics courses. This will in turn enhance the preparation of students to meet the demands of a data-driven workplace and to use the newly available resources in our data-centric world. StatPREP will work directly with college-level instructors, both online and in community-based workshops, to develop the understanding and skills needed to work and teach with modern data.

StatPREP will initiate community transformation focused on modernizing undergraduate statistics education. This project will offer an extended professional development program for mathematics faculty, particularly at two-year institutions, who teach introductory statistics, it will establish regional communities of practice to support these instructors, and it will provide them a national online support network with statistics education experts. This project also contributes to the goal to “improve STEM learning and learning environments by investigating the effectiveness of this professional development model as a catalyst for community transformation. The combined resources and reach of the MAA, ASA, and AMATYC will ensure the sustainability of StatPREP and the availability of this program to the largest possible audience.

Project Leadership Team

  • Deirdre Longacher Smeltzer, Mathematical Association of America
  • Donna LaLonde, American Statistical Association
  • Michael Brilleslyper,United States Air Force Academy
  • Jenna Carpenter, Campbell University
  • Daniel Kaplan, Macalester College
  • Kathryn Kozak, Coconino Community College
  • Ambika Silva, College of the Canyons

Support for this Program

StatPREP is a partnership program of the MAA, AMATYC, and ASA. Support for StatPREP is provided by the National Science Foundation, Award DUE-1626337.