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Technology inquiryInquiry 17

Data storytelling

Communicating evidence with integrity

How do we turn messy data into a story people understand — without hiding spread or uncertainty?

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Technology inquiry

Data storytelling

Communicating evidence with integrity

Digital Technologies · Designing digital outcomes

Wero

How do we turn messy data into a story people understand — without hiding spread or uncertainty?

First step

Choose one audience (class, whānau, council); draft a chart showing range and median, not just the highlight.

What you will show

Published data story with explicit uncertainty, source citation, and one honest limitation.

Local place context

Who is your audience — class, whānau, or community group — for the data story?

Digital Technologies · Designing digital outcomes

First step

Choose one audience (class, whānau, council); draft a chart showing range and median, not just the highlight.

Expected outcome

Published data story with explicit uncertainty, source citation, and one honest limitation.

You will turn one of your inquiry datasets into an infographic that an audience outside your classroom can understand at a glance. Which design choices help — and which mislead — when communicating evidence visually. Draft layouts, audience feedback, and a final infographic with explicit uncertainty.

Five ways you could investigate

Pick one to start — or write your own question. The AI mentor supports you gently inside your investigation.

  1. Idea 1

    Audience needs analysis

    What does your audience need to know first — and what can wait?

    Start with this question →
  2. Idea 2

    Uncertainty honest chart

    How do you show spread without hiding the pattern?

    Start with this question →
  3. Idea 3

    Before/after narrative

    What changed after your intervention — with fair comparison?

    Start with this question →
  4. Idea 4

    Outlier investigation

    Which outlier taught you most — and is it in or out?

    Start with this question →
  5. Idea 5

    Ethical framing

    What consequence matters if your headline is wrong?

    Start with this question →

Five things you could build

Fabrication ideas linked to makerspace tools — 3D print, laser cut, Arduino, data products, and more.

  1. Build 1

    Environmental infographic

    One-page visual story from your strongest dataset.

    Open in outcome selector →
  2. Build 2

    Community science poster

    Poster for hallway or whānau evening.

    Open in outcome selector →
  3. Build 3

    Slide deck

    Five slides: question, method, data, claim, next step.

    Open in outcome selector →
  4. Build 4

    Interactive dashboard mock-up

    Sketch filters classmates could use.

    Open in outcome selector →
  5. Build 5

    Vinyl headline strip

    Bold vinyl title for a physical display board.

    Open in outcome selector →

AI mentor (inside your investigation)

No separate mentor page — support appears in your investigation workspace. It starts gentle: short prompts about your research context, data, and analysis. You or your teacher can turn assistance off for unassisted work, or request more help when you need it. It also guides fabrication choices tied to your evidence.

What you will investigate
You will turn one of your inquiry datasets into an infographic that an audience outside your classroom can understand at a glance.
What you will collect
Date and time, Draft
What you might make or share
A printed A3 or vinyl infographic for whānau or community.