Explore how to transform math tasks from procedural to meaningful. Engage with rich, discourse-driven tasks that promote reasoning, equity, and student voice. Leave with practical strategies and tools to design impactful MS/HS math experiences. More information coming soon.

In a world where data is abundant and AI can generate instant answers, how do we design learning experiences that center student thinking, voice, and agency? This interactive workshop explores how educators can empower all learners through authentic data investigations, storytelling, and discourse-rich routines. Grounded in equitable teaching practices and aligned with emerging K–12 data science frameworks, this session highlights strategies that move beyond procedural computation toward meaningful sense-making. Attendees will explore instructional routines that support access for diverse learners as well as see examples of how a veteran teacher incorporates data literacy and data science into the math classroom through relevant data investigations and data projects. Participants will leave with adaptable tools, sample tasks, and practical strategies to design inclusive, engaging, and AI-resilient data learning experiences that position every student as a data thinker and storyteller. More information coming soon.

In this interactive session, participants will explore how data science can transform K–12 math classrooms into spaces where students investigate meaningful questions about their world. Using a justice-centered approach, we will examine structures that empower students to collect, analyze, and communicate data stories tied to their communities, cultures, and lived experiences. Leave with ready-to-use tasks, tools, and frameworks that deepen reasoning, elevate student voice, and build agency. More information coming soon.