{"id":52,"date":"2024-05-23T00:55:29","date_gmt":"2024-05-23T00:55:29","guid":{"rendered":"https:\/\/research.ced.ncsu.edu\/esteemhub\/?page_id=52"},"modified":"2026-04-29T19:50:53","modified_gmt":"2026-04-29T19:50:53","slug":"events-and-professional-learning","status":"publish","type":"page","link":"https:\/\/research.ced.ncsu.edu\/esteemhub\/events-and-professional-learning\/","title":{"rendered":"Professional Learning"},"content":{"rendered":"\n\n\n\n\n

Throughout the year, the ESTEEM project and key Network Partners offer many in-person and virtual opportunities for professional learning to inform statistics and data science teacher education. Together our network community is working towards transformational improvements in teacher education programs across the U.S. Where possible, past events have a link to recordings for on-demand viewing.<\/p>\n\n\n\n

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UPCOMING PROFESSIONAL LEARNING OPPORTUNITIES<\/h2>\n\n\n
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AMTE Community Circle for Statistics and Data Science Teacher Education<\/strong><\/h3>\n \n\n \t \t


A group of mathematics teacher educators that meets monthly to discuss issues and strategies and share resources for teacher preparation. See description for meeting schedule for Spring 2026.<\/p>\n\t \t \n

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2026 Electronic Conference on Teaching Statistics<\/strong>\u00a0(eCOTS)<\/h3>\n \n\n \t \t

Dates:<\/strong> June 15-18, 2026
Location:<\/strong> Virtual

This year\u2019s theme asks how we can spark discovery and joy in ourselves and our students. It invites us to examine the impact of AI on instruction and assessment for statistics and data science, and to consider how we can foster wonder, imagination, and critical thinking with or without AI.<\/p>\n\t \t \n

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Data Science Education K-12 Research to Practice Conference<\/h3>\n \n\n \t \t

Date:<\/strong> February 15-17, 2027
Location: <\/strong>Atlanta, GA

The Data Science Education K-12: Research to Practice Conference convenes educators, researchers, developers, leaders, and policymakers to advance data literacy and data science for K-12 learners. Proposals from classroom teachers are especially encouraged.

The deadline for proposals is May 1, 2026.<\/strong><\/p>\n\t \t \n

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April NIC-Cast: MET III Report<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>April 24, 2026
Time: <\/strong>12:00pm – 1:00pm CDT
Title: <\/strong>Virtual, Through Zoom

The Mathematical Education of Teachers (MET) III (Conference Board of Mathematical Sciences, 2026) and the Statistical Education of Teachers (SET) II (American Statistical Association, 2026) are two policy resources for all persons and entities concerned with the mathematical and statistical education of teachers. These reports make recommendations for the mathematical and statistical knowledge and skills that teachers should know and the conditions under which the objectives should be attained. In this session, panel members will discuss the components of the reports and how the reports can be used to design teacher preparation programs and professional learning opportunities for teachers.<\/p>\n\t \t \n

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The Mathematics of Opportunity 2026: Meeting the Moment<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Dates:<\/strong> April 15-16, 2026
Location:<\/strong> Virtual

Don\u2019t miss our free virtual conference, The Mathematics of Opportunity: Meeting the Moment. Join educators, advocates, and students to discuss key issues on redesigning math education, with a focus on equity, admissions, dual enrollment, transfer, and student success from high school through higher education.

Space is limited. We encourage you to register as soon as possible.<\/strong><\/p>\n\t \t \n

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Webinar Series: Spring Sessions<\/strong><\/strong><\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>April 14, 2026
Time: <\/strong>6:00pm – 7:00pm ET
Location: <\/strong>Statistics and Data Lessons for Upper Elementary Grades
Speaker: <\/strong>Debbie Leslie, Sarah Burns, and Jeanne DiDominico<\/p>\n\t \t \n

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ESTEEM Webinar Spring 2026 Series<\/strong> Session 1: Data Science Teacher Education Goals<\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>April 14, 2026
Time: <\/strong>3:00pm – 3:00pm ET
Title: <\/strong>Virtual, Through Zoom
Speakers: <\/strong>Randall Groth, Salisbury University

Join us for an interactive webinar with Randall Groth to discuss his 2026 JSDSE paper Data science teacher education goals: Essential elements of Pre-K-12 data science curriculum implementation. Read the paper in advance then come to the webinar to learn more about the proposed process for setting data science teacher education goals and discuss further with your colleagues!<\/p>\n\t \t \n

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Entry Points: K-12 Projects & Opportunities<\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>March 31, 2026
Time: <\/strong>3:30pm – 5:00pm ET
Speakers: <\/strong>Mahmoud Harding, Lynn Hodge, Rachel Wong, and Kelly Boles

Highlighting opportunities such as models, resources, and projects to support data science and AI education in PreK-12 classrooms, schools, and districts.<\/p>\n\t \t \n

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K-12 Data and Computing Competencies: Implications for Statistics Educators<\/strong><\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>March 26, 2026
Time: <\/strong>4:00pm – 5:00pm ET
Speakers: <\/strong>Nicholas Horton (Amherst College), Anna Bargagliotti (Loyola Marymount University), Joshua Rosenberg (University of Tennessee, Knoxville), Kerry Brenner (National Academy of Sciences)

Join members of the National Academies consensus study committee for an overview of the new Developing Competencies for the Future of Data and Computing: The Role of K\u201312<\/em> report and its implications for statistics education. This webinar explores how the report\u2019s seven core competencies can help shape the future of K\u201312 and undergraduate statistics learning.

The webinar is free, but pre-registration is required.<\/p>\n\t \t \n

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Integrating Statistical Writing in an Applied Regression Course Using Small-Scale Writing Projects<\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>March 17, 2026
Time: <\/strong>4:00pm – 4:45pm ET
Presenters: <\/strong>Laura Hildreth and Ella Burnham
Co-hosts: Nicole Dalzell and Ciaran Evans

Learn how five bite-sized writing assignments can build core statistical communication skills, boost students\u2019 attitudes toward writing, and improve the overall course experience, plus practical tips for implementing these projects in your own teaching.<\/p>\n\t \t \n

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Entry Points: Postsecondary Programs & Pathways<\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>March 6, 2026
Time: <\/strong>2:00pm – 3:30pm ET
Speakers: <\/strong>Rachel Levy, Hollylynne Lee, Ryan “Seth” Jones, Dr. Keith Jacks Gamble, Louis Rocconi, and Joshua Rosenberg

A “Lessons from the Field” event showcasing different models of university programs and degree pathways in data science and AI.<\/p>\n\t \t \n

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\u201cWhat\u2019s Your Data Path?\u201d Webinar Series<\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>February 25, 2026
Time: <\/strong>4:00pm – 5:00pm ET
Title: <\/strong>Exploring Data Science Across Professions
Speakers: <\/strong>Julian Kuerti, Music Director, and Sydney Schless,\u00a0Vice President of Marketing, for the Kalamazoo Symphony Orchestra

Speakers from the Kalamazoo Symphony Orchestra will sharie how they use data in their careers. Attendees will gain valuable insights into applications of data science skills and have access to video snippets about data careers to use with students.\u00a0<\/p>\n\t \t \n

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International Practices in K-12 Mathematics Education: The Role of Computational Thinking, Data Science, and AI<\/strong><\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date:<\/strong> February 23-24, 2026
Time:<\/strong> 9:00am – 5:00pm ET, 9:00am – 1:00pm ET
Location:<\/strong> Virtual

Join virtually to hear scholars from around the world and the U.S. for a two-day international meeting at the National Academies exploring how top-performing countries in secondary mathematics education are modernizing their math curricula to meet the demands of a rapidly evolving global landscape.<\/p>\n\t \t \n

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AMTE Preconference Workshop: Transforming Secondary Mathematics Teacher Preparation: Exploring Connections with Statistics and Data Science<\/strong><\/strong><\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>February 4, 2026
Time: <\/strong>9:00am – 4:30pm
Location:<\/strong> Portland, OR

The ESTEEM project is teaming up with the MTEP project to co-host this workshop to help institutional teams of faculty learn about ways to enhance their teacher education programs to include an emphasis on statistics and data science. Virtual attendance is a possibility.<\/p>\n\t \t \n

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Creative Conflict: Reacting to the Past Roleplaying Games in the Introductory Statistics Classroom<\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>January 13, 2026
Time: <\/strong>4:00pm – 4:45pm ET
Speakers: <\/strong>Chad Curtis

Webinar will highlight a recent JSDSE article that describes a game-based pedagogy in which students take on roles in a historical conflict with elements of game fiction, competition, and collaboration. Two games will be discussed that help teach measures of risk, data visualization, and hypothesis testing : \u201cThe Cigarette Century: Tobacco and Lung Cancer\u201d and \u201cCholera! at the Pump: Contagionism, Miasma Theory and Sanitation\u201d.<\/p>\n\t \t \n

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ESTEEM Webinar Fall 2025 Series<\/strong> Session 3: Using InSTEP to Support Mathematics Teachers<\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0Thursday, November 20, 2025
Time:<\/strong>\u00a01:00pm – 2:00pm ET
Location:\u00a0<\/strong>Virtual, Through Zoom
Presenters:<\/strong>\u00a0Emily Thrasher, Gemma Mojica, & Hollylynne Lee

These are free, open to anyone and will be recorded! <\/p>\n\t \t \n

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ESTEEM Webinar Fall 2025 Series<\/strong> Session 2: Introduction to ESTEEM Foundations Modules<\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0Thursday, October 30, 2025
Time:<\/strong>\u00a03:00pm – 4:00pm ET
Location:\u00a0<\/strong>Virtual, Through Zoom
Presenters:<\/strong>\u00a0Gemma Mojica and Rick Hudson

These are free, open to anyone and will be recorded! <\/p>\n\t \t \n

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Emphasizing Concepts over Computations: A Panel Webinar Discussion<\/h3>\n \n\n \t \t

Date:<\/strong> Tuesday, September 23, 2025
Location:<\/strong> Virtual through Zoom
Panelist:<\/strong> Ulrike Genschel, Kate Kozak, Patti Frazer Lock, Jamie Perrett, and Kelly Spoon
Moderator:<\/strong> Donna LaLonde and Lisa Kay
Sponsor:<\/strong> 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, \u201cFocus on conceptual understanding rather than algebraic manipulation and formulas.\u201d <\/p>\n\t \t \n

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ESTEEM Webinar Fall 2025 Series<\/strong> Session 1: Preparing to Teach Statistics and Data Science with CODAP<\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0Monday, September 15, 2025
Time:<\/strong>\u00a02:00pm – 3:00pm ET
Location:\u00a0<\/strong>Virtual, Through Zoom
Presenters:<\/strong>\u00a0Gemma Mojica and Rachel Abel

These are free, open to anyone and will be recorded! <\/p>\n\t \t \n

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Statistics Teacher Education Article Discussion<\/h3>\n \n\n \t \t

Date:<\/strong> Tuesday, September 9, 2025
Time:<\/strong> 6:00pm – 7:00pm ET
Location: <\/strong>Virtual
Organizer:<\/strong> 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:\u00a0

Fielding, J., Makar, K., & Ben-Zvi, D. (2025). Developing students\u2019 reasoning with data and data-ing. ZDM\u2013Mathematics Education, 57(1), 1\u201318.<\/strong>

Email Nina to Join the Discussion: <\/strong>baileyn@montclair.edu<\/p>\n\t \t \n

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CAUSE Research Reading Group<\/strong><\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0September 2, 2025
Time:<\/strong>\u00a03:00pm – 4:00pm
Organizer:\u00a0<\/strong>CAUSE

This Fall is a great time to join the CAUSE Research Reading Group. In September,\u00a0Beth 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\u2019t worry if you haven\u2019t participated in our previous meetings yet. All meetings are independent from each other, so please join us if you are interested.<\/p>\n\t \t \n

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Stats & Data Net: Teachers Prepare Students for the Data Revolution: A Free Virtual Workshop<\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0July 29, 2025
Time:<\/strong>\u00a011:00am – 3:30pm
Location:\u00a0<\/strong>Virtual, Registration Required
Sponsor:<\/strong>\u00a0Organized 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\u201312 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\u2019s Catalyzing Change books and ASA\u2019s Guidelines for Assessment and Instruction in Statistics Education (GAISE) Pre-K\u201312 Curriculum Framework.<\/p>\n\t \t \n

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Transforming Mathematics Teacher Preparation for a Data Science and Statistics Future<\/strong><\/h3>\n \n\n \t \t

Dates:<\/strong> July 23 – 24, 2025
Sponsor:<\/strong> ESTEEM
Location:<\/strong> Raleigh, NC
Application due:<\/strong> November 25, 2024

Join us at this summer\u2019s 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.<\/p>\n\t \t \n

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2025 U.S. Conference on Teaching Statistics<\/strong><\/h3>\n \n\n \t \t

Dates:<\/strong> July 15-19, 2025
Location:<\/strong> 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.<\/p>\n\t \t \n

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Impacting Statistics and Data Science Teacher Education in the US Through Broader Scale Efforts<\/strong><\/h3>\n \n\n \t \t

Date: <\/strong>June 4, 2025
Time:<\/strong> 10:00am-11:15am <\/strong>ET
Location: <\/strong>Virtual, Registration Required
Sponsor: <\/strong>Project Data Science and Big Data in School (ProDaBi) Colloquium Series,\u00a0

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.<\/p>\n\t \t \n

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Policy Issues from the Expansion Working Group<\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0May 9, 2025
Time:<\/strong>\u00a02:00pm ET
Location:\u00a0<\/strong>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.<\/p>\n\t \t \n

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Tools of the Trade: Non-Coding Approaches<\/strong><\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0April 16, 2025
Time:<\/strong>\u00a06:00pm ET
Location:<\/strong>\u00a0Virtual

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.<\/p>\n\t \t \n

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GBH & TERC’s Early Childhood Data Science Discussion<\/h3>\n \n\n \t \t

Date and Times:<\/strong>\u00a0April 14, 2025, from 12 – 2pm ET
May 8, 2025, from 5 – 7pm ET
Location:\u00a0<\/strong>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.
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A New Era of Learning: Considerations for ChatGPT as a Tool to Enhance Statistics and Data Science Education<\/strong><\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0April 8, 2025
Time:<\/strong>\u00a04:00pm-4:45pm ET
Location:<\/strong>\u00a0Virtual
Presenters:<\/strong>\u00a0Amanda 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\u2019 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\u2019s 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.<\/strong><\/p>\n\t \t \n

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Data Science Education K-12 Research to Practice Conference<\/strong><\/h3>\n \n\n \t \t

Date:<\/strong> February 17-19, 2025
Location: <\/strong>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.\u00a0<\/p>\n\t \t \n

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Simulation-Based Inference: Random Sampling vs. Random Assignment? What Instructors Should Know<\/strong><\/h3>\n \n\n \t \t

Dates:<\/strong> November 12, 2024
Sponsor:<\/strong> Virtual through Zoom
Location:<\/strong> Beth Chance, Karen McGaughey, and Soma Roy
Sponsor:<\/strong> 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.<\/p>\n\t \t \n

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Teaching Introductory Statistics Online<\/strong><\/h3>\n \n\n \t \t

Dates:<\/strong> November 1, 2024 and November 8, 2024
Location:<\/strong> Virtual through Zoom
Presenters:<\/strong> Anelise Sabbag, Beth Chance, Jennifer McNally, and Laura Callis
Sponsor:<\/strong> 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.<\/p>\n\t \t \n

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Moving NC Forward in Teaching Statistics and Data Science 2024 Regional Conference<\/h3>\n \n\n \t \t

Date:<\/strong> June 13, 2024
Friday Institute<\/strong>

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.<\/p>\n\t \t \n

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Creating Classrooms of Data Doers<\/h3>\n \n\n \t \t

Presenters:<\/strong>\u00a0Hollylynne Lee, Anna Bargagliotti, & Donna LaLonde
Sponsor:<\/strong> NCTM
Length:<\/strong>\u00a055 minutes
Date:<\/strong>\u00a0April 18, 2024<\/p>\n\t \t \n

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Passport to Potential: K-12 Data Literacy Worldwide<\/h3>\n \n\n \t \t

Presenters:<\/strong>\u00a0Mayuri Dhumal, Fatuma Farrah, Wesley Hedgepeth, & Hollylynne Lee
Sponsor:<\/strong> DS4E
Length:<\/strong>\u00a062 minutes
Date:<\/strong>\u00a0January 24, 2024<\/p>\n\t \t \n

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The Growing Role of Statistics and Data Science in Grades 6-12 Education: Implications for Mathematics Teacher Educators<\/h3>\n \n\n \t \t

Presenters:<\/strong>\u00a0Stephanie Casey, Rick Hudson, Hollylynne Lee, & Gemma Mojica
Sponsor:<\/strong>\u00a0AMTE
Length:<\/strong>\u00a079 minutes
Date:<\/strong>\u00a0October 12, 2023<\/p>\n\t \t \n

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What You Need to Know About Data Science Education: Leveraging National Academies Research<\/h3>\n \n\n \t \t

Presenters:<\/strong>\u00a0Hollylynne Lee, Leticia Perez, Tricia Shelton, & Paul Strode
Sponsor:<\/strong>\u00a0DS4E
Length:<\/strong>\u00a060 minutes
Date:<\/strong>\u00a0April 26, 2023<\/p>\n\t \t \n

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Using CODAP to Teach Statistics and Data Concepts<\/h3>\n \n\n \t \t

Presenters:<\/strong>\u00a0Hollylynne Lee
Sponsor:<\/strong> Global Math Department
Length:<\/strong>\u00a0\u00a061 minutes
Date:<\/strong>\u00a0March 21, 2023<\/p>\n\t \t \n

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Data U: Succeeding in Higher Education and Beyond<\/h3>\n \n\n \t \t

Presenters:<\/strong>\u00a0Justin Ballenger, Gemma Mojica, Micaela Parkers, Karl Schubert, and Eric Van Dusen
Sponsor:<\/strong>\u00a0DS4E\u00a0
Length:<\/strong>\u00a0\u00a059 minutes
Date:<\/strong>\u00a0November 7, 2022<\/p>\n\t \t \n

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<\/p>\n","protected":false},"excerpt":{"rendered":"

Throughout the year, the ESTEEM project and key Network Partners offer many in-person and virtual opportunities for professional learning to inform statistics and data science teacher education. Together our network community is working towards transformational improvements in teacher education programs across the U.S. Where possible, past events have a link to recordings for on-demand viewing.…<\/p>\n","protected":false},"author":67,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"ncst\/default-header","ncst_dynamicHeaderData":"{\"pageIntro\":\"Workshops, Events, and Gatherings<\/strong>
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