📋 Teacher Cheat Sheet — Session 1: Data Is All Around Us

Data Science for Young Minds · Grade 2 · Ages 7–8
~50 min Ages 7–8 Session 1 of 8 ND-Friendly
⏱ Session Agenda
TimeBlockWhat's Happening
0–5🎯 Hook"I'm going to show you something. Tell me what you notice." Show lunch menu on board.
5–15📖 LessonWhat is data? Things we count, measure, or notice. Data in everyday life (3 examples).
15–30🎮 ActivityData Hunt — students walk classroom with checklist, find 5 examples of data being collected.
30–38💬 SharePairs share by pointing to their finds. Class list built on board together.
38–45✍️ WorksheetStudents record their 5 data finds and complete vocabulary section.
45–48🧠 Brain BreakClap-count: clap the number of data examples the class found together.
48–50👋 Close"Next time — we'll learn what questions data can answer!" Preview Session 2.
Pacing note: The data hunt is the heart of this session. 15 minutes feels like a lot but students need time to walk, look, and think. Don't cut it short — the sharing is richer when they've really explored.
📦 Materials Needed
Prepare before class:
Data Hunt checklist (1 per student — print from worksheet) Pencils Clipboards (1 per student) Lunch menu visible on board or printed copies Attendance sheet or weather chart (visible) Chart paper or whiteboard for class list
💡 Plant 2–3 obvious "data items" around the room — a height chart on the wall, a calendar, a class job chart. Students love finding planted examples.
📚 Key Vocabulary
Data — information we collect by counting, measuring, or noticing
Information — facts we learn about the world
Count — find out "how many" of something
Record — write down what we find so we remember it
Organize — put information in a neat order so it's easy to use
💬 Discussion Questions + Teacher Notes
  • "What do you think the word 'data' means?"
    → Accept all ideas. Guide toward: data is information — things we notice, count, or measure. Draw out: "data is numbers about the real world." Don't correct too fast; let students construct meaning.
  • "Look at our lunch menu. What numbers can you find on it?"
    → Students might find: number of choices, prices if listed, calories, serving sizes. Point out: all of these are data! The school collects data to plan meals.
  • "Why does the school take attendance every morning?"
    → To count how many students are present. That's data! The attendance sheet IS a data collection tool. Connect: your teacher is a data scientist every morning.
  • "Could the weather chart on our wall be data?"
    → Yes! Each day's weather is recorded. Over time it shows a pattern. This is exactly what data scientists do — collect over time to find patterns.
  • "What would happen if we didn't collect any data at all?"
    → Open discussion. Key insight: we wouldn't know how many people need lunch, whether it's going to rain, how many students are here. Data helps us plan and make decisions.
🎮 Data Hunt — Setup Guide
Students walk the classroom (or hallway just outside) with clipboards and checklist. They look for places where someone is counting, measuring, or tracking something.
Steps:
  1. Distribute clipboards + checklist sheets
  2. Model: point to attendance sheet — "I found data! I'm writing: attendance sheet, because the teacher counts who's here."
  3. Students have 12 min to find 5 examples and write them down
  4. Pairs compare: did you find the same ones? Different ones?
  5. Class share: students point (not just speak) to their examples
Expect to find: calendar, weather chart, attendance, library checkout log, growth chart, lunch count, classroom rules with numbers, math manipulatives bins with counts.
💡 If a student finds something you didn't expect — celebrate it! "That's a great find — explain why that's data." This is the best kind of moment.
🎯 Opening Hook
Put the lunch menu on the projector or board. Don't explain anything.
"Look at this. What do you notice?"
Take 5–6 responses. Then: "All those things you noticed? That's data. Data is information someone collected."
→ The menu works because every child knows it. Familiar context = safe entry point for all learners.
🧠 Brain Break
Clap-Count Data!
"We found [X] examples of data together. Let's clap [X] times to celebrate!"
Then: "Now — how many students are here today? Let's jump that many times." (Count together first.)
→ The counting IS the data lesson. Weave counting into physical movement every time.
Extension: "Is the number of jumps we just did… data? How would we record it?"
🧠 ND-Friendly Tips
  • Give the checklist before the hunt — Students with planning challenges need to see the structure before moving. Walk through the checklist together first.
  • Partner the hunt — Pairs reduce anxiety about moving around the room. Partner strong walkers with students who need a buddy.
  • Share by pointing — "Show us where your data example is" is lower stakes than "stand up and explain." Pointing is valid participation.
  • Anchor the word "data" — Write it large on the board with a simple picture (tally marks). Return to it every time you use it.
  • Timer visible — Show a visible timer during the hunt so students with time anxiety know how long they have.
Data Science for Young Minds · Grade 2 · Session 1 Cheat Sheet · sdabagh.github.io/learn/data-science