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Virtual Programming Schedule





Improve the Remote Learning Experience for Your Students

June 10, June 24, July 8, July 22, & August 19, 1-2pm ET

The five-part CTME Series on Remote Instruction and Assessment of Mathematics will focus on several critical aspects of remote teaching and learning. Invited speakers with present on topics such as assessment, equity and accessibility, and the production of asynchronous content.



Part 1: "Remote Mathematics Assessment with Multiple Modalities: Accurately Assessing with a Combination of Online Homework System Assignments, Written Work, Video Assignments and Oral Interviews"
Thursday, June 10, 1:00 p.m. - 2:00 p.m. EDT

Part 2: "Producing Videos and Other Asynchronous Content for Students – Pedagogy and Practicality"
Thursday, June 24, 1:00 p.m. - 2:00 p.m. EDT

Part 3: "Using Flipgrid, Classroom Stats, and Other Apps for Remote Instruction"
Thursday, July 8, 1:00 p.m. - 2:00 p.m. EDT

Part 4: "Ensuring Equity and Accessibility When Teaching Online"
Thursday, July 22, 1:00 p.m. - 2:00 p.m. EDT

Part 5: "Remote Teaching of Advanced Undergraduate Mathematics Courses"
Thursday, August 19, 1:00 p.m. - 2:00 p.m. EDT


Join us for any session (or all 5!) by registering today. Registration for this event will close on Wednesday, August 18 at 11:59pm ET.


Benjamin Atchison, Manmohan Kaur, and Jason Parsley

About the Organizers

Benjamin Atchison has been an advocate for the creation and adoption of quality open educational resources for over a decade.  He is a co-author of a college algebra textbook and course pack, and frequently experiments with various technologies to further enhance his teaching.



Manmohan Kaur is a William B. Scholl Endowed Science Professorial Chair at Benedictine University. A functional analyst by training, her current research interests include Cryptology and Mathematics Pedagogy. Her paper “Parametric Surfaces Competition: Using Technology to Foster Creativity,” was listed in Notable Writings in the Princeton anthology 'The Best Writing on Mathematics 2015'. A working member of the AMS and the MAA, she currently serves on the steering committee for the International Congress on Mathematics Education.


Jason Parsley researches geometric knot theory and the mathematics of voting; he has advised 13 master's thesis and 14 senior thesis students and was the recipient of an MAA sectional teaching award for early career faculty. During the pandemic, Parsley wrote a book of guided notes for calculus and produced an accompanying set of guided videos that are available to the mathematical community.



StatPREP 2021 Summer Workshops

June & July

This summer, MAA's StatPREP program 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. 


Little Apps Workshop
June 10-11, July 9-10; 12-3pm ET each day

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
June 18-19, July 15-16; 12-3pm ET each day

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
June 24-25, July 23-24; 12-3pm ET each day

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
June 4, July 31; 12-3pm ET each day

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.