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What Can 126 Dots Tell Us About Peace?

On Friday, October 9, the Norwegian Nobel Committee awarded the 2026 Nobel Peace Prize to Navi Pillay. That got me thinking about the prize itself, and about how much a simple picture of its history could tell our students. So I made one. It's a grid of 126 dots. Most are filled. A few are empty. There's no title, no labels and no key. If you're anything like me, you love a graph that starts a conversation before anyone knows what it shows. That's the whole idea behind a slow reveal: students reason about the data first, then get the context a little at a time and revise their thinking as they go. This one takes about 40 minutes, and it works as a 10-minute warm-up if you're short on time. Reveal 1: Just the Dots Start with nothing but the dots. Give students a full minute of quiet think time before anyone talks, then ask the two best questions in math class: What do you notice? What do you wonder? Write down every idea without confirming or correcting it. Students ...

3 Ready-for-Monday (Tuesday) Math Activities for Indigenous Peoples' Day

  Oct 9, 2026 · @MrPurdyMath Monday, October 12, is Indigenous Peoples' Day. It's a day to honor the first peoples of this land: their histories, their cultures, and the communities that are still here and thriving today. For a lot of our students, it's also a day off with a name they've never really thought about. That's where we come in. When we take even ten minutes to recognize Indigenous peoples, we're telling students the truth about where they live, and we're showing them that Indigenous knowledge isn't just history. It's math, science, art and language that people are still using right now. If you're anything like me, you've wondered how to fit that into a math class. How do I teach land acknowledgment and explore Indigenous cultures without losing a day of instruction? Here's what I landed on: you don't have to choose. The math is already there. Maya mathematicians used zero centuries before Europe did. Lakota star quilts ar...

How does America say hello? Using Data Talks to Explore Language, Identity, and Community

What languages are spoken in the United States? How does where you live influence the languages you are likely to hear? And what can data tell us about the communities around us? Nearly 1 in 4 people in the United States speak a language other than English at home. That statistic creates an opportunity to explore percentages, ratios, proportional reasoning, estimation, and data representation while connecting mathematics to language, identity, community, and belonging. I created “How does America say hello?” as a short 5–10 minute data talk using 2024 U.S. Census data to help students make those connections. Starting With Notice and Wonder The routine begins simply. On every slide, I ask: What do you notice? What do you wonder? Students have about 30 seconds to think independently and another 30 seconds to share with a partner. We then hear a few observations and questions before moving into the mathematical prompts. This sequencing is intentional. Rather than telling students what is ...

Beyond the Graph: Building Data Literacy Through Classroom Routines

Every day, our students encounter data. They see statistics in social media posts, sports highlights, advertisements, news stories, weather forecasts, health claims, and infographics. They are constantly presented with graphs, percentages, averages, rankings, and claims about what the numbers supposedly tell us. But being surrounded by data does not automatically make someone data literate. As mathematics educators, we have an opportunity and a responsibility to help students think more critically about the data they encounter in their daily lives by asking deeper questions about the meaning behind it. Questions like: Where did these data come from and who is the source? How were they collected? What does this graph show—and what might it hide? Whose perspectives are represented? Whose are not represented? What patterns or variability do we notice? Is there potential bias? And perhaps most importantly: What conclusions can we reasonably make from the evidence? These questions are at th...