Opportunities

Give your students the tools (and confidence) to move from “raw data” to clear, criterion-aligned analysis. In this hands-on tour, we’ll show how DataClassroom streamlines the full IB workflow—planning, collecting, analyzing, and communicating—so IA and EE investigations in Biology, Chemistry, and Physics hit the mark on Exploration, Analysis, and Evaluation.

Biology: Build tidy datasets, summarize trials, and add error bars to compare treatments. Run appropriate tests (t-test/ANOVA/χ²)

Chemistry: Use curve fitting to model relationships—calibration lines, kinetics, and other non-linear patterns.

Physics: Linearize when needed, and plot uncertainty gradient.

Who should attend: IB Biology, Chemistry, and Physics teachers; IA/EE supervisors; IB DP coordinators supporting data-driven investigations.

The NCTM 2026 Spring Conference in Indianapolis will focus on coming together in complicated educational times and celebrating the ingenuity of mathematics educators. Join us in staying curious and building community as we collaborate on asking important questions and solving professional challenges to continue transforming the teaching and learning of mathematics for every student. Together, we are stronger.

NCTM is committed to ensuring that our events are fully accessible to all persons. Visit our Accessibility & Inclusion section for more details.

Looking to gain new insights into student understanding in your statistics classroom? Join our virtual workshop on The LOCUS Assessment and explore how this tool can help measure conceptual understanding of statistics and provide opportunities for professional learning.

This session will present sample items and commentaries that identify freely available resources to address common student misunderstandings in grades 6-12. Participants will respond to sample questions and predict how students performed before being presented the results. Evidence supports achieving a certain score on certain LOCUS assessments serves as a reliable predictor for passing the AP Statistics exam.

Do you have students who love a challenge and want to see how math and data can shape the world? The MathWorks Math Modeling Challenge (M3 Challenge) is a free, online contest for U.S. high school juniors and seniors and sixth form students in England and Wales, where teams of 3–5 students use math and data to solve a real-world problem. During Challenge Weekend — February 27 to March 2, 2026 — teams choose their own 14-hour window to work in person or online, tackling an open-ended modeling task that builds creativity, collaboration, and future-ready skills. It’s not just a competition — students can also earn significant college scholarships. Learn more and access free resources, or email m3challenge@siam.org with questions.

We’re collecting stories from educators who have led (or are planning!) real-world civic data projects. Think: students analyzing an issue they care about and presenting their findings to a school board, city council, legislature, or community group.
Our goal is to highlight a small number of these stories in a short documentary-style project. If you have students presenting their data to a school board, city council, legislature, or any civic group next spring, we’d love to know.


This form should take just a few minutes. Your responses will help us identify which educators to follow up with and, in some cases, to coordinate sending a film crew to capture students’ work live as it unfolds.

Join the National Council of Teachers of Mathematics for the 2026 Spring Conference, March 16-18, in New Orleans.

The conference theme draws on the concept of “joie de vivre” (joy of living) to challenge mathematics educators to reimagine their instructional practices, content, assessment, and technology in ways that spark freedom and exuberance in mathematics teaching, learning, and understanding. With the vibrant city of New Orleans as a backdrop—a place shaped by cultural fusion, resilience, and creative expression—educators are invited to come together much like a jazz ensemble, to listen, experiment, and build a new mathematical harmony.