How data builds explanations
Examine how people use relevant data and observations to develop and check scientific explanations, recognising that data showing a change (e.g. a count) does not by itself explain the cause, and that an explanation is supported when the relevant observations fit it
Lesson
Set out your lesson
“Counts can show change without showing its cause. Check an explanation against relevant observations and ask what would not fit. These invented frog counts are not a real creek report. Safety: No wildlife handling, water sampling or outdoor investigation is required. Stop: End with the proposed evidence check. Do not visit creeks, handle frogs or collect water.”
Bring to the table
- Paper
- Pencil
- Two colouring pencils
Extra for the adult
Worked example. Answer: the count changed from 12 to 6; that alone does not show why. Blocked viewing fits a detectability explanation, but it does not prove no frogs were lost. Comparable clear-view repeat surveys would help check that explanation. Bag pencil counts do not address frog numbers or visibility.
Optional challenge. Explain how changing the survey duration would make the counts harder to compare.
What to notice. Keep the table and explanation check, labelled illustrative. Note adult prompts.
Share and support
Family records and proof options
Keep a record of your learning
Save photos, notes, and attendance. Export a proof packet for compliance or portfolio reviews.
Learning resources
Extra practice links — they do not replace Gakuva’s teaching approach.
US EPA · Practice link — not the full lesson
Students
Before you open · source notes
Students supports How data builds explanations. An adult previews and guides; this is a learning page, not a scored quiz.
Free educational page, no sign-in required for the tested path.
Before you openAsk the learner one fact they learned and one question they still have.
Opening this link does not save learning or assess mastery.
Source, access and review notes
Public US EPA page. An anonymous GET on 2026-11-12 returned HTTP 200 with no login or payment prompt for this URL. Opening the link does not save practice or assess mastery. An adult should preview and guide the learner.
US EPA. “Students.” External page; Gakuva does not copy, host, embed, or redistribute materials.
Unknown — link only
Check understanding
- Explain that a citizen-science count showing fewer frogs in a creek shows that numbers changed but not why, and suggest other data (e.g. water quality or rainfall records) that could help explain the change
- Use a class table of shadow lengths measured through the day, together with observations of the sun's height in the sky, to explain the pattern with 'The data shows... because...'
- Check whether the data fit the proposed explanation (e.g. the shortest shadow occurs when the sun is highest) and describe a result that would not fit it
“If your child measures their shadow at different times of day and watches how high the sun is, can they use both to explain why the shadow gets shorter and longer?”
Curriculum record
- Type
- Conceptual
- Subject
- Science
- Domain
- Scientific Inquiry
- Age range
- Ages 8–9
Standards