{"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":"2026-06-23T15:54:32","modified_gmt":"2026-06-23T15:54:32","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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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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Stats&DataNet: Statistics and Data Science Across Disciplines: A Free Virtual Workshop<\/h3>\n \n\n \t \t

Date:<\/strong>\u00a0July 28, 2026 (virtually)
Time<\/strong>: 11:00 a.m. to 3:30 p.m. ET plus continued learning all year with community-building and virtual learning options.
Sponsor:<\/strong>\u00a0Organized by the Joint Committee of the ASA and NCTM with support from the Hub for Innovation and Research in Statistics Education at NC State.

Stats&DataNet is a year-long professional learning effort organized by the Joint Committee of the American Statistical Association and National Council of Teachers of Mathematics. The program provides K\u201312 teachers with an opportunity to discuss and apply the data analysis, data science, and statistical concepts embodied in the National Council of Teachers of Mathematics Catalyzing Change books and American Statistical Association\u2019s\u00a0Guidelines for Assessment and Instruction in Statistics Education (GAISE) Pre-K\u201312 Curriculum Framework<\/em>. Teachers will learn to use strategies and technology tools that support students\u2019 learning and empower them to investigate questions using real-world data.<\/p>\n\t \t \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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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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Statistics Teacher Education Article Discussion<\/h3>\n \n\n \t \t

Date:<\/strong> September 9, 2025
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 Reading Groups<\/h3>\n \n\n \t \t

Research-based teaching principles have transformative potential in statistics and data science education, yet many instructors struggle to translate evidence into practice. In this interactive reading group, Sheri Johnson and Monica Litzenberger will lead participants through How Learning Works: Eight Research-Based Principles for Smart Teaching (Lovett et al., 2023), engaging with core ideas and discussing practical applications within statistics classrooms. Through collaborative reflection and discussion prompts, attendees will explore how learning science principles\u2014such as student metacognition, practice with feedback, and motivation\u2014can inform instructional design, assessment, and classroom interaction. Participants will leave with a deeper understanding of the research foundations of effective teaching and actionable strategies to enhance student learning in their own courses.<\/p>\n\t \t \n

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PAST EVENTS<\/h2>\n\n\n
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Use of Theoretical Frameworks in Statistics Education<\/h3>\n \n\n \t \t

\u200bDate:<\/strong> Monday June 8, 2026
\u200bSpeakers:<\/strong>\u00a0Denise Spangler and Katie Makar\u00a0\u00a0

This session focused on theoretical frameworks: an important but often misunderstood element of education research. The initial talk provided an overview of theoretical frameworks: what they are (and are not), why researchers need them, and how they benefit both the individual and the field. A second talk discussed an example research study illustrating the use of a theoretical framework in statistics education.<\/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

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

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
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
Speakers: <\/strong>Randall Groth, Salisbury University

Randall Groth discussed his 2026 JSDSE paper Data Science Teacher Education Goals: Essential Elements of Pre-K-12 Data Science Curriculum Implementation. <\/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
Speakers: <\/strong>Mahmoud Harding, Lynn Hodge, Rachel Wong, and Kelly Boles

Highlighted 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
Speakers: <\/strong>Nicholas Horton, Anna Bargagliotti, Joshua Rosenberg, Kerry Brenner

Members of the National Academies consensus study committee gave 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.<\/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
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
Speakers: <\/strong>Rachel Levy, Hollylynne Lee, Ryan “Seth” Jones, Dr. Keith Jacks Gamble, Louis Rocconi, and Joshua Rosenberg

This “Lessons from the Field” event showcased 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<\/strong><\/strong><\/strong>: Exploring Data Science Across Professions<\/h3>\n \n\n \t \t

Date: <\/strong>February 25, 2026
Speakers: <\/strong>Julian Kuerti, Music Director, and Sydney Schless,\u00a0Vice President of Marketing, for the Kalamazoo Symphony Orchestra

Speakers from the Kalamazoo Symphony Orchestra shared how they use data in their careers. Attendees gained 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

Scholars from around the world and the U.S. met 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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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

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
Speakers: <\/strong>Chad Curtis

Highlight a recent JSDSE article that described a game-based pedagogy in which students take on roles in a historical conflict with elements of game fiction, competition, and collaboration. <\/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>\u00a0November 20, 2025
Presenters:<\/strong>\u00a0Emily Thrasher, Gemma Mojica, & Hollylynne Lee
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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>\u00a0October 30, 2025
Presenters:<\/strong>\u00a0Gemma Mojica and Rick Hudson

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

Date:<\/strong> September 23, 2025
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>\u00a0September 15, 2025
Presenters:<\/strong>\u00a0Gemma Mojica and Rachel Abel

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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
Sponsor:<\/strong>\u00a0Organized by the Joint Committee of the ASA and NCTM with support from the Hub for Innovation and Research in Statistics Education at NC State.

The workshop provided 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

Summit where we will be charted 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. <\/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

The 2025 USCOTS included workshops, a research satellite conference, plenaries, breakout sessions, and posters. The conference was 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.<\/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
Sponsor: <\/strong>Project Data Science and Big Data in School (ProDaBi)

Hollylynne Lee shared two U.S.-based projects that focus on engaging teachers in learning to teach statistics and data science in K-12 schools: one focused on undergraduate mathematics teacher preparation, and the other offers a free, personalized, self-guided online professional learning platform for practicing teachers. <\/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

This webinar explored accessible tools that empower educators to integrate data science concepts into their curriculum without requiring programming skills, including free and low-cost resources that facilitate visual data analysis, interactive visualizations, and practical data collection strategies.<\/p>\n\t \t \n

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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
Presenters:<\/strong>\u00a0Amanda Ellis and Emily Slade

In this JSDSE\/CAUSE webinar, we highlighted the article A New Era of Learning: Considerations for ChatGPT as a Tool to Enhance Statistics and Data Science Education. AI has created concerns about potential plagiarism and undermining students\u2019 ability to think independently, while also potentially of functioning as an educational tool for statistics and data science.<\/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
Presenters:<\/strong> Beth Chance, Karen McGaughey, and Soma Roy
Sponsor:<\/strong> CAUSE

In this JSDSE\/CAUSE webinar, we highlighted the 2024 article Simulation-Based Inference: Random Sampling vs. Random Assignment? What Instructors Should Know. This session explored how different simulation strategies affect students’ understanding of inferential reasoning and the analysis of two variables.<\/p>\n\t \t \n

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

Dates:<\/strong> November 1 & 8, 2024
Presenters:<\/strong> Anelise Sabbag, Beth Chance, Jennifer McNally, and Laura Callis
Sponsor:<\/strong> Expanding and assessing the Art and Practice Of Statistical Thinking (EAPOST)

The sessions covered strategies for online teaching aligned with GAISE recommendations. Topics include adapting in-person activities, creating effective assessments, and fostering student collaboration. <\/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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\n \"Global\n <\/div>\n <\/div>\n \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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\n
\n \"Data\n <\/div>\n <\/div>\n \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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