Events and Professional Learning

ESTEEM Webinar Fall 2025 Series Session 2: Introduction to ESTEEM Foundations Modules

Date: Thursday, October 30, 2025
Time: 3:00pm – 4:00pm ET
Location: Virtual, Through Zoom
Presenters: Gemma Mojica and Rick Hudson

These are free, open to anyone and will be recorded!

Zoom Link 

ESTEEM Webinar Fall 2025 Series Session 3: Using InSTEP to Support Mathematics Teachers

Date: Thursday, November 20, 2025
Time: 1:00pm – 2:00pm ET
Location: Virtual, Through Zoom
Presenters: Emily Thrasher, Gemma Mojica, & Hollylynne Lee

These are free, open to anyone and will be recorded!

Zoom Link 

Emphasizing Concepts over Computations: A Panel Webinar Discussion

Date: Tuesday, September 23, 2025
Location: Virtual through Zoom
Panelist: Ulrike Genschel, Kate Kozak, Patti Frazer Lock, Jamie Perrett, and Kelly Spoon
Moderator: Donna LaLonde and Lisa Kay
Sponsor: ASA’s Section on Statistics and Data Science Education

The recommendations in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report were recently updated. Five statistics educators, including several members of the College GAISE Revision Steering Committee, will discuss the third recommendation, which states, “Focus on conceptual understanding rather than algebraic manipulation and formulas.” Ulrike Genschel (Iowa State University), Kate Kozak (Coconino Community College), Patti Frazer Lock (St. Lawrence University), Jamie Perrett (Brigham Young University), and Kelly Spoon (San Diego Mesa College) will share advice and examples that will help statistics instructors emphasize concepts over computations. Moderated by Donna LaLonde (American Statistical Association) and Lisa Kay (Chair of ASA Section on Statistics and Data Science Education), this session will provide attendees with tools that support effective teaching in the statistics classroom.

Register here 

ESTEEM Webinar Fall 2025 Series Session 1: Preparing to Teach Statistics and Data Science with CODAP

Date: Monday, September 15, 2025
Time: 2:00pm – 3:00pm ET
Location: Virtual, Through Zoom
Presenters: Gemma Mojica and Rachel Abel

These are free, open to anyone and will be recorded!

Zoom Link 

Statistics Teacher Education Article Discussion

Date: Tuesday, September 9, 2025
Time: 6:00pm – 7:00pm ET
Location: Virtual
Organizer: Nina Bailey

A new Statistics Teacher Education Reading Group will be meeting several times a year to discuss specific research articles relevant to learning to teach statistics and data science. The next meeting will focus on the following article: 

Fielding, J., Makar, K., & Ben-Zvi, D. (2025). Developing students’ reasoning with data and data-ing. ZDM–Mathematics Education, 57(1), 1–18.

Email Nina to Join the Discussion: baileyn@montclair.edu

Join the discussion 

CAUSE Research Reading Group

Date: September 2, 2025
Time: 3:00pm – 4:00pm
Organizer: CAUSE

This Fall is a great time to join the CAUSE Research Reading Group. In September, Beth Chance will join the discussion focused on using simulation-based inference in Introductory Statistics classes and this article.

Chance, B., Tintle, N., Reynolds, S., Patel, A., Chan, K., & Leader, S. (2022). Student performance in curricula centered on simulation-based inference. Statistics Education Research Journal, 21(3), 4-4.

After registering, you will receive a confirmation email with information about joining the meeting. Don’t worry if you haven’t participated in our previous meetings yet. All meetings are independent from each other, so please join us if you are interested.

Register here 

Stats & Data Net: Teachers Prepare Students for the Data Revolution: A Free Virtual Workshop

Date: July 29, 2025
Time: 11:00am – 3:30pm
Location: Virtual, Registration Required
Sponsor: Organized by the Joint Committee of the American Statistical Association and National Council of Teachers of Mathematics with support from the Hub for Innovation and Research in Statistics Education at NC State.

The workshop is free, though space is limited, and advance registration is required. The program provides K–12 teachers and teacher educators with an opportunity to engage in discussions and engaging breakout sessions that apply the data analysis, data science, and statistical concepts embodied in the NCTM’s Catalyzing Change books and ASA’s Guidelines for Assessment and Instruction in Statistics Education (GAISE) Pre-K–12 Curriculum Framework.

Register here 

Transforming Mathematics Teacher Preparation for a Data Science and Statistics Future

Dates: July 23 – 24, 2025
Sponsor: ESTEEM
Location: Raleigh, NC
Application due: November 25, 2024

Join us at this summer’s summit, where we will be charting the course for integrating data science and statistics into the preparation of future mathematics teachers to respond to national and state-level efforts for modernizing high school mathematics. Attendees will explore the evolving landscape of teacher education programs and have the opportunity to learn about various curriculum materials and technology tools, engage in networking, and set actionable goals for their own programs.

Learn more and apply 

2025 U.S. Conference on Teaching Statistics

Dates: July 15-19, 2025
Location: Ames, IA, at Iowa State University

CAUSE has held the United States Conference on Teaching Statistics (USCOTS) every other year since 2005. The 2025 USCOTS will include workshops, a research satellite conference, plenaries, breakout sessions, and posters. The conference is a great way to learn more about instructional strategies for college-level statistics and teacher education, as well as the latest research in these contexts.

Deadline for proposing a pre-conference workshop or breakout session is December 10th.

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Impacting Statistics and Data Science Teacher Education in the US Through Broader Scale Efforts

Date: June 4, 2025
Time: 10:00am-11:15am ET
Location: Virtual, Registration Required
Sponsor: Project Data Science and Big Data in School (ProDaBi) Colloquium Series, 

In this session, Hollylynne Lee will share two U.S.-based projects that focus on engaging teachers in learning to teach statistics and data science in K-12 schools. One project focuses on undergraduate mathematics teacher preparation, and the other offers a free, personalized, self-guided online professional learning platform for practicing teachers. Join to explore design approaches, impact, and opportunities for partnerships.

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Policy Issues from the Expansion Working Group

Date: May 9, 2025
Time: 2:00pm ET
Location: Virtual

The Mathematics Teacher Education Partnership (MTEP 2.0) is sponsoring a NIC Cast featuring members of its Network Expansion Working Group which is composed of MTEP 2.0 team members and leaders or representatives of national, state, and local mathematics education or STEM education organizations focused on examining policies and issues impacting secondary mathematics teacher education. The NIC Cast will focus on issues that the working group is currently discussing and planning actionable steps to address, including: Data Science in Mathematics Education, Collaboration between Physics and Mathematics Teacher Education, Recruitment and Retention of Teachers, and Reimagining Teacher Preparation.

Zoom Link 

Tools of the Trade: Non-Coding Approaches

Date: April 16, 2025
Time: 6:00pm ET
Location: Virtual

This webinar explores accessible tools that empower educators to integrate data science concepts into their curriculum without requiring programming skills. Participants will discover free and low-cost resources that facilitate visual data analysis, interactive visualizations, and practical data collection strategies. Learn how to implement these tools in classroom settings to develop students’ data literacy and analytical thinking while removing the barrier of coding proficiency.

Register Here 

GBH & TERC’s Early Childhood Data Science Discussion

Date and Times: April 14, 2025, from 12 – 2pm ET
May 8, 2025, from 5 – 7pm ET
Location: Virtual

Join us for a virtual discussion on April 14th and May 8th as we explore how data science skills can be developed and integrated into early childhood education. We’ll discuss what data skills are developmentally appropriate for children ages 3-7, strategies to nurture these skills effectively, and the focus of an early childhood data science learning framework.

Contact Louise Flannery to Participate or Learn More 

A New Era of Learning: Considerations for ChatGPT as a Tool to Enhance Statistics and Data Science Education

Date: April 8, 2025
Time: 4:00pm-4:45pm ET
Location: Virtual
Presenters: Amanda Ellis and Emily Slade

In this April edition of the JSDSE/CAUSE webinar series, we highlight the recent article A New Era of Learning: Considerations for ChatGPT as a Tool to Enhance Statistics and Data Science Education. ChatGPT is one of many generative artificial intelligence (AI) tools that has emerged recently, creating controversy in the education community with concerns about its potential to be used for plagiarism and to undermine students’ ability to think independently. This talk focuses on the potential of ChatGPT as an educational tool for statistics and data science. It encourages readers to consider the history of trepidation surrounding introducing new technology in the classroom, such as the calculator. The presenters explore the possibility of leveraging ChatGPT’s capabilities in statistics and data science education, providing examples of how ChatGPT can aid in developing course materials and suggestions for how educators can prompt students to interact with ChatGPT responsibly.

The webinar is free but pre-registration is required.

Register Here 

Data Science Education K-12 Research to Practice Conference

Date: February 17-19, 2025
Location: San Antonio, TX, on the Riverwalk

Through collaborative sessions, innovative formats, and a supportive community, this inaugural conference will offer a dynamic atmosphere for educators, researchers, curriculum developers, and school leaders to exchange ideas and co-create the future of data science education in K-12. The theme of the inaugural conference is Addressing the Human Dimensions of Data, with keynote speaker, Dr. Talitha Washington. 

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Simulation-Based Inference: Random Sampling vs. Random Assignment? What Instructors Should Know

Dates: November 12, 2024
Sponsor: Virtual through Zoom
Location: Beth Chance, Karen McGaughey, and Soma Roy
Sponsor: CAUSE

In this November edition of the JSDSE/CAUSE webinar series, we highlight the 2024 article Simulation-Based Inference: Random Sampling vs. Random Assignment? What Instructors Should Know. This session explores how different simulation strategies affect students’ understanding of inferential reasoning and the analysis of two variables. Presenters will discuss whether it matters if simulations model random sampling or random assignment, with examples from comparing means and linear regression, and explore extensions enabled by simulation-based inference.

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Teaching Introductory Statistics Online

Dates: November 1, 2024 and November 8, 2024
Location: Virtual through Zoom
Presenters: Anelise Sabbag, Beth Chance, Jennifer McNally, and Laura Callis
Sponsor: Expanding and assessing the Art and Practice Of Statistical Thinking (EAPOST)

Join us for a free virtual workshop on Fridays, November 1 and 8, from 3-4 pm ET (12-1 pm PT). The sessions will cover strategies for online teaching aligned with GAISE recommendations. Topics include adapting in-person activities, creating effective assessments, and fostering student collaboration. Register in advance to receive the Zoom link, with recordings available afterward.

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Moving NC Forward in Teaching Statistics and Data Science 2024 Regional Conference

Date: June 13, 2024
Friday Institute

Educators connected with NC colleagues teaching statistics and data science at the high school and college levels, including teacher preparation. Together, they explored ways to build capacity in these fields for the NC workforce and data-driven careers. The in-person event was held alongside the online eCOTS conference.

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Creating Classrooms of Data Doers

Presenters: Hollylynne Lee, Anna Bargagliotti, & Donna LaLonde
Sponsor: NCTM
Length: 55 minutes
Date: April 18, 2024

Watch the recording 

Passport to Potential: K-12 Data Literacy Worldwide

Presenters: Mayuri Dhumal, Fatuma Farrah, Wesley Hedgepeth, & Hollylynne Lee
Sponsor: DS4E
Length: 62 minutes
Date: January 24, 2024

Watch the recording 

The Growing Role of Statistics and Data Science in Grades 6-12 Education: Implications for Mathematics Teacher Educators

Presenters: Stephanie Casey, Rick Hudson, Hollylynne Lee, & Gemma Mojica
Sponsor: AMTE
Length: 79 minutes
Date: October 12, 2023

Watch the recording 

What You Need to Know About Data Science Education: Leveraging National Academies Research

Presenters: Hollylynne Lee, Leticia Perez, Tricia Shelton, & Paul Strode
Sponsor: DS4E
Length: 60 minutes
Date: April 26, 2023

Watch the recording 

Using CODAP to Teach Statistics and Data Concepts

Presenters: Hollylynne Lee
Sponsor: Global Math Department
Length:  61 minutes
Date: March 21, 2023

Watch the recording 

Data U: Succeeding in Higher Education and Beyond

Presenters: Justin Ballenger, Gemma Mojica, Micaela Parkers, Karl Schubert, and Eric Van Dusen
Sponsor: DS4E 
Length:  59 minutes
Date: November 7, 2022

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