Teacher Cheat Sheet — Session 1: What Do You Notice?

Data Science for Young Minds · Grade 3 · Ages 8–9
~60 min Ages 8–9 Session 1 of 8 ND-Friendly
Session Agenda
TimeBlockWhat's Happening
0–5 Hook"What do you notice about this bag of objects?" Pass around sorting bag.
5–18 Lesson 1–2Looking vs. observing · Attributes · Single & two-attribute sorting
18–35 ActivityObject Sort Challenge — sort 20+ objects 3 different ways
35–45 Lesson 3–4Patterns in everyday life · Observation vs. opinion · Observation journal
45–53 JournalStudents write 3 observations about one object — no opinions allowed
53–58 Recap"One thing you noticed today that you wouldn't have noticed before?"
58–60 ClosePreview Session 2: "Next time — questions that data can answer."
Pacing note: The Object Sort is the heart of the session. Don't rush it — let students discover that the same objects can be sorted many ways. That surprise IS the lesson.
Materials Needed
Prepare before class:
20–30 small objects per group (buttons, coins, shells, blocks, bottle caps) Sorting mats (plain paper or trays) Colored pencils PencilsBlank paper for observation journals 1 "mystery bag" per group (paper bag with objects inside)
Tip: Raid your desk drawer — paper clips, erasers, sticky notes, coins all work perfectly.
Key Vocabulary
Observation — noticing details carefully and on purpose
Attribute— a specific characteristic (color, size, shape, texture)
Sorting — grouping objects by shared attributes
Pattern — something that repeats or follows a rule
Category — a named group that objects belong to
Opinion — a judgment or feeling (NOT an observation)
Discussion Questions + Teacher Notes
  • "What's the difference between looking at something and really observing it?"
    → Looking is passive. Observing is active — on purpose, with attention to detail. Use the hook bag to show: first glance vs. careful examination.
  • "How many ways could you sort these objects?"
    → No limit! Same objects sorted by color, then by size, then by texture. Point out: one object can belong to many categories depending on the rule.
  • "Is 'this rock is pretty' an observation?"
    → No — it's an opinion. "This rock is gray and has a rough texture" IS an observation. Anchor the difference early and refer back to it all session.
  • "Where do you see patterns every day?"
    → Seasons, school schedule, traffic lights, meal times, heartbeat. Patterns are everywhere — data science starts with noticing them.
  • "Why does a scientist need to observe before asking questions?"
    → You can't ask a useful question about something you haven't looked at carefully. Observation is step one of the data cycle.
Object Sort Challenge — Setup Guide
Groups of 3–4 students. Each group gets a bag of 20–30 mixed objects. Task: sort the same objects 3 different ways.
Steps:
  1. Groups open bags — 2 min of free exploration (touch, look)
  2. Sort #1: by one attribute they choose — label each group
  3. Sort #2: mix back up — sort by a different attribute
  4. Sort #3: try two attributes at once (big AND red)
  5. Gallery walk: groups see each other's sorts — discuss differences
Key debrief question: "Did your objects end up in different groups each time? What does that tell you about how we organize information?"
Let students name their own categories. "Shiny things" is just as valid as "metal." Accept all attribute-based reasoning.
Opening Hook
Pass a bag of objects to the front row. Don't say anything — just wait.
"What do you notice?"
Accept ALL responses. Then ask: "What would you need to look at MORE carefully?" Give 1 extra minute to observe.
→ This sets the session's tone: slow down and pay attention.
Journal Prompt
Write on board:
"Choose one object from today. Write 3 observations about it. Use words AND a sketch. No opinions allowed!"
8 min quiet writing. Check: are students writing facts or feelings?
Good observation: "The button is round, blue, and has 4 holes."
Opinion (redirect): "The button is cute."
ND-Friendly Tips
  • Hands before words — Put objects in hands before giving any definitions. Tactile first, vocabulary second.
  • Movement = reset — The gallery walk and sort activities give physical learners an anchor.
  • Accept all attributes — "Smells like pencil case" is a valid observation. Don't narrow too fast.
  • Pair for journal — If a student struggles to write alone, allow quiet partner dictation.
  • Preview the sort — Tell students before they begin: "You'll sort 3 times. First sort in 5 minutes."
Data Science for Young Minds · Grade 3 · Session 1 Cheat Sheet · sdabagh.github.io/learn/data-science