Network Updates

Mathematics Teacher Educators and Experts Gather for National Summit on Transforming Mathematics Teacher Preparation in Data Science and Statistics

The 2025 ESTEEM Summit on Transforming Mathematics Teacher Preparation for a Data Science and Statistics Future hosted participants and experts from around the country, including higher education faculty, the National Council of Teachers of Mathematics (NCTM), the University of Texas at Austin Charles A. Dana Center, Data Science 4 Everyone, and the Association of Mathematics Teacher Educators (AMTE).

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K-12 Data Science Learning Progressions

Data Science 4 Everyone is planning to release their K-12 learning progressions for data science in Fall 2025! Sign up here so you will be among the first to get them!

Sign up here 

Two New Revised ESTEEM Curriculum Module Sets

The ESTEEM II team is excited to announce that newly revised ESTEEM curriculum module sets are up in Canvas Commons! The newly revised Foundations in Data Science and Statistics Teaching supports prospective teachers in building expertise about how students learn data and statistics and how to teach it effectively and has undergone modifications during summer 2025. The Teaching Statistical Association module set focuses on the importance of statistical association and how students learn association with categorical and quantitative variables. Both sets include two modules with: brief readings and multi-media engagements, data investigations using CODAP, classroom videos and student work, and opportunities to discuss, reflect and apply. 

Materials are packaged into LMS courses to provide maximum flexibility for instructors to tailor materials for their own contexts. You can view the module at Canvas Commons and download and import materials into other LMSs.

Teaching Inferential Reasoning Modules are under revision and will be released later in 2025.

Visit Canvas Commons for Access to this Curriculum 

AMTE Statistics and Data Science Teacher Education Circle Meetings

Travis Weiland organizes this group, and it is open to anyone. We meet about once a month for great conversations and often have guest speakers. If you are interested in joining the list for the Circle announcements, add your name and email to the linked spreadsheet.

Link to spreadsheet 

Integrating Data Literacy Into K–12 Education

Chad Dorsey and colleagues published an article in Harvard Data Science Review that highlights the urgent need to integrate data literacy into U.S. K–12 education and outlines key challenges. They propose strategies such as teacher preparation, curriculum integration, tailored tools, and leadership support. The authors call for a coordinated, long-term effort from multiple stakeholders to make data literacy a fundamental skill for all students.

Read the article 

Episode 108: Farshid Safi: Collectively Moving Toward a Comprehensive, Inclusive Approach to Mathematics Teacher Education

In this episode of Teaching Math Teaching, learn about teaching math teachers better with Dr. Farshid Safi, President of the Association of Mathematics Teacher Educators. They discuss the upcoming 2026 conference and how AMTE is continuing to live out its mission and position statements.

Listen here 

New Sampler Tool in CODAP

Through our partnership with Bill Finzer and the amazing CODAP development team at the Concord Consortium we have redesigned and enhanced the functionality of the Sampler plugin within CODAP. This work was inspired by functionality of the TinkerPlots sampler. We improved the interface for how to design mixers and spinners, and you can now build models with multiple devices for exploring more complex situations and compound probability activities. In the sampler, you will find ways to collect common measures, sample with and without replacement, hide a model, and conduct an experiment where you repeat until a specific condition occurs. For example, in the image, the sampler is designed to model a family of 3 births, repeating making families of 3 children until 3 boys are born for a family.

Find the Sampler by looking in the Plugins menu Simulate Sample

Try to build your own models in CODAP 

ESTEEM Year 2 Report

As we begin the third year of this project, we wanted to share a brief report about progress made in Year 2, including highlights of research results, actions made by our Networked Improvement Community, and links to slides and proceedings from recent presentations. Please feel free to share with others.

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First Ever Data Science Education K-12 Research to Practice Conference

What happens when you bring together educators, researchers, and advocates passionate about data science education? Read about the first-ever Data Science Education K-12 Research to Practice Conference held from February 17-19, 2025, in San Antonio, Texas. It was a vibrant and inspiring gathering of over 265 attendees from (literally) all around the world.

Read the News Post 

Exploring Data in Social Studies Using Two New CODAP Plugins

Read a blog post by Kate Miller about two new data portal plugins to support data science in social studies contexts. The plugins allow students to explore data from the World Health Organization (such as teenage obesity in different countries) and the National Agricultural Statistics Service (such as food production, farm demographics, and wages).

Read Kate Miller’s Blog 

Revitalizing K-12 Mathematics Education

In this news article, Mahmoud Harding from DS4E describes some of the national-level efforts to change the landscape of mathematics education by infusing real-world applications through data science.

Read the Article 

Early Career Mathematics Teacher Research Summaries

The ESTEEM team explored the attitudes, confidence, instructional practices, pedagogical content knowledge, and statistical knowledge of early-career mathematics teachers in teaching data science and statistics (DS&S). We share five summaries to inform the work of teacher educators who prepare secondary teachers to teach data and statistics.

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Data Moves as a Focusing Lens for Learning to Teaching with CODAP

The ESTEEM team has a new open-access publication:

Hudson, R. A., Mojica, G. F., Lee, H. S., & Casey, S. (2024). Data Moves as a Focusing Lens for Learning to Teach with CODAP. Computers in the Schools, 1-26. 
https://doi.org/10.1080/07380569.2024.2411705

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The Teaching of Introductory Statistics: Results of a National Survey

Learn about the landscape of college statistics education with this study, which examines teaching practices of college-level introductory statistics instructors (n=228) across the U.S. Curricular and instructional practices were assessed to evaluate how well courses align with recommendations from the 2016 GAISE College Report. Findings suggest many are following core content guidelines, but there is room for improvement in areas like multivariate data analysis and student-centered teaching methods. LINK

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#Chart the Course: Vote by October 15

The #ChartTheCourse campaign has launched, and Data Science 4 Everyone invites you to help shape the future of K-12 data science education. Vote now to ensure the framework reflects the data skills students need in a data-driven world. Learn more, cast your vote, and hear from leaders at NCTM, NSTA, CSTA, and ADSA about why they support #ChartTheCourse.

Vote Now 

Consider the 5 Practices
Through a Statistical Lens

A new article about how the 5 Practices framework can be adapted for teaching statistics in a way that accounts for differences between mathematics and statistics was recently published in NCTM’s MTLT journal. It includes videos from the ESTEEM curriculum materials to illustrate the adaptations.

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NCTM’s Position Statement on High School Data Science Courses is Out!

Read the National Council of Teachers of Mathematics’ latest recommendations and insights on integrating data science into high school curricula.

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Beyond Borders 2024: Primary and Secondary Data Science Education Around the World

Sean Sukol, Data and Policy Analyst,
Data Science 4 Everyone
March 2024

The US has only just begun to lay the foundation for data science education with surveys of the current education landscape and investigations into the implication of AI for our society. But our peers and competitors have already made data science, machine learning, and AI required components of their K-12 curricula. This report focuses on data science education and education advocacy in Canada, the UK, Germany, China, India, and New Zealand.

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Newsletter

The ESTEEM Network Newsletter intends to share resources, upcoming opportunities, and key efforts in the field. We aim to connect educators, researchers, and practitioners, fostering a community dedicated to continuously improving statistics and data science education.

Newsletter Archive

ESTEEM Newsleter

August 2025

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ESTEEM Newsletter

Spring 2025

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ESTEEM Newsletter

Fall 2024

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ESTEEM Newsletter

Spring 2024

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