Skill companion: How People Use Data (Year 4) — reusable Human Endeavour scaffolds

How People Use Data: a skill companion

Slot the idea into your science lessons

Does the explanation fit both places?

From data to an explanation

Does the data support it?

Be a weather scientist

Answers and look-fors

What a skill companion is

Start here: five minutes

No science background needed

The three moves, and the picture that backs each one

How the scaffolds build the idea

Read the records

Test an explanation

1. The data

2. The pattern

3. Our first explanation

4. More data that would test it

5. Our better explanation

6. Who uses data like this in their job?

We are learning to

Success criteria

You need

Lesson flow (about 30 minutes)

Watch for these ideas

Make it easier, make it bigger

Answers and look-fors

Two weather stations

Data to explanation: an explanation at standard

Explanation cards: does the data support it?

A quick three-level guide

← Back to the unitTip: in the print dialog choose “Save as PDF”.

Skill companion · Year 4 Science as a Human Endeavourseegongsik /au

A small set of reusable sheets that grow one Human Endeavour idea: people collect data, look for patterns in it, and build scientific explanations from it, testing each explanation against more data. Print the scaffolds once and slot them into the science lessons you are already teaching.

AC9S4H01

examine how people use data to develop scientific explanations

Science as a Human Endeavour is not a topic of its own. It grows inside the science units a class teaches all year, such as Food Chains and Habitats, The Water Cycle, Forces, Friction and Magnets, and Properties of Materials. So this pack is not a full term of lessons. It is three reusable scaffolds, a map of where they fit, and a short stand-alone lesson for teaching the idea on its own first.

Read the pairing map on the next page: it shows people who use data in each Year 4 topic.
Print the two-stations sheet once per pair for the mini-lesson, or with The Water Cycle.
Print the data-to-explanation frame, one per child, whenever the class has data of its own.
Cut out the explanation cards once. They are reused all year, and the blank cards fit any topic.
Run the one-page mini-lesson first if you want to teach the idea before folding it into a topic.

This pack is written for the busy generalist teacher. Each scaffold explains itself in plain words, and the answer sheet gives the patterns in the data, a model explanation, the card key and a quick three-level guide. The big idea: an explanation that fits one set of data can fail on the next, and scientists then look for more data rather than guess.

On the board

This pack is the printable half of a free interactive unit. On screen, children switch between “Table”, “Bar chart” and “Line graph” in “Rainfall recorded month by month” and “Temperature recorded over the same months”, press “Add next evidence” in “From recorded data to the water-cycle explanation”, and sort with “Supports” and “Does not support” in “Which statements are explanations the data supports?”.

seegongsik.com/au/y4/human-endeavour/AC9S4H01

Aligned to the Australian Curriculum V9 (AC9S4H01). This pack is original material from seegongsik, independently produced and not endorsed by ACARA. Curriculum content descriptors are (c) ACARA, licensed under CC BY 4.0. Free to print and use in class.

Where the idea fitsPairing map

In every science unit, real people collect data and use it to explain something. This map gives one example for each Year 4 topic, the explanation the data helps build, and which scaffold to reach for. You do not run these as extra lessons; you fold them into the science you teach.

When you teach	People who collect data	What the data helps explain	Scaffold to slot in
Food Chains and Habitats (AC9S4U01)	Rangers and ecologists count animals in a habitat year after year	Fewer frogs after a dry year: their food and their wet places disappeared	Data to explanation, then the slater cards
The Water Cycle (AC9S4U02)	Weather scientists record rain and temperature every day	Wet and dry seasons, and where the rain comes from	Two weather stations, then the weather cards
Forces, Friction and Magnets (AC9S4U03)	Road engineers measure how far cars take to stop on wet and dry roads	Wet roads give less friction, so speed signs and tyre treads matter	Data to explanation
Properties of Materials (AC9S4U04)	Designers test how much water each fabric lets through	Why raincoats are made of waterproof materials	Data to explanation, with the class’s own test
Any science topic	Anyone who measures something again and again	Children ask what the data shows, and what more data would test the idea	Data to explanation first

When you want a worked example on the board, open the interactive unit and use the picture that matches the move children are working on.

Lay out recorded data and find the pattern: “Rainfall recorded month by month” and “Temperature recorded over the same months”.
Let each new piece of data sharpen the explanation: “From recorded data to the water-cycle explanation”.
Tell an explanation the data supports from a guess: “Which statements are explanations the data supports?”.

The two-stations sheet puts the unit’s northern weather records beside a southern station’s, so an explanation that fits one place is tested against another. The data-to-explanation frame walks any data set from pattern to first explanation to the extra data that would test it. The explanation cards sharpen the judgement: an explanation is supported when it fits all the data, and a guess when nothing in the data points to it.

Scaffold 1 · Two weather stationsOne per pair

NameClassDate

Two weather stations recorded the rain and the temperature for six months. Read both records.

North: the wettest months are

South: the wettest months are

In the north, are the wettest months also the warmest?Yes □No □

In the south, are the wettest months also the warmest?Yes □No □

Sam looked only at the northern station and said: “Heat makes it rain.” Does the southern data fit Sam’s explanation? What other data could help explain when it rains?

Scaffold 2 · Data to explanationOne per child

NameClassDate

Scientists do not guess. They collect data, find the pattern, explain it, and then test the explanation with more data.

What was measured or counted:

How, and how many times:

Does all of the data fit it?Yes □Not all □

Scaffold 3 · Explanation cards (cut out)Reuse all year

Cut out the cards. Lay down one data card, then sort its statement cards into two piles: explanations the data supports, and statements it does not support, because they are guesses or claim more than the data shows.

THE DATATwo weather stations kept records for six months. In the north, the warm months were the wettest. In the south, the cool months were the wettest.Weather

Heat makes it rain everywhere.Weather

In the north, the wettest months were also the warmest.Weather

In the south, most rain fell in the cool months of May and June.Weather

It rains more in the south in June because people there like rain.Weather

Warmth alone cannot explain when it rains, because the two stations do not match.Weather

Write another statement:

Weather

THE DATAIn a tray with a damp end and a dry end, 8 of 10 slaters went to the damp end. In a tray with a dark end and a light end, 9 of 10 went to the dark end.Slaters

Slaters seem to choose places that are damp and dark.Slaters

The slaters went to the damp end because they were bored.Slaters

All animals like dark places.Slaters

Both trays point the same way: slaters move away from dry, bright places.Slaters

Slaters gather under logs because it is damp and dark there, which fits the tray results.Slaters

Write another statement:

Slaters

Teacher note: the two piles are “supported” and “not supported”. The answer sheet lists which is which, and why.

Mini-lesson · Teacher planAbout 30 minutes

Use this stand-alone lesson to teach the idea on its own, before you fold it into a science topic. Children read six months of records from a northern weather station, form an explanation, then test it against a southern station’s records and find it does not fit everywhere, which is exactly how scientists use data.

find a pattern in recorded data,
build an explanation from the pattern,
test an explanation against more data, and change it when the data does not fit.

I can say what pattern the records show, using the numbers.
I can explain why scientists collect more data before they trust an explanation.

the two-stations sheet and the data-to-explanation frame (scaffolds 1 and 2), one each per pair,
the weather cards from scaffold 3, one set per table, cut out ahead or by fast finishers,
the free interactive unit on your board, if you have one (optional).

5 min	What do the records show? Show the board (see the box): the northern station’s rain, then its temperature. Ask: “Which months are wettest? Which are warmest? Is that the same months?”
10 min	Test it in the south Pairs do the two-stations sheet. Ask: “Sam’s explanation worked in the north. Does the south fit it?”
10 min	A better explanation Press “Add next evidence” through the unit’s water-cycle explanation, to the wind records. Pairs fill the frame for the weather data. Ask: “What extra data helped the scientist? Why was the temperature not enough?”
5 min	Supported or not? Tables sort the weather cards into the two piles. Ask: “Does every station fit this statement, or only one?”

Running it shorter? Stop after Test it in the south, and fill the frame with the class’s own data in the next science lesson.

On the board

For a worked example, open the unit and switch to “Bar chart” in “Rainfall recorded month by month”, then in “Temperature recorded over the same months”. Then press “Add next evidence” in “From recorded data to the water-cycle explanation” until the wind records arrive.

seegongsik.com/au/y4/human-endeavour/AC9S4H01

Thinking that two things that happen together must cause each other.
Trusting an explanation from one place, or one set of data.
Thinking scientists are wrong or careless when they change an explanation; changing it is how science works.

Easier: circle the wettest months on each graph together before answering.
Bigger: suggest a third station to test the explanation, and what its records should show if the explanation is right.

The next sheet has the patterns in both stations, a model explanation, the card key and a quick three-level guide.

Answers · For the teacherModel responses

Station	Wettest months	Warmest months	Wettest also warmest?
Northern station	Jan and Feb	Jan and Feb	Yes
Southern station	May and Jun	Jan and Feb	No

Testing Sam’s explanation: in the north the rain falls from 210 mm to 8 mm as the months cool, so heat and rain go together there. In the south the rain rises from 12 mm to 130 mm as the months cool, so “heat makes it rain” does not fit. More data that would help: where the wind comes from in each month, whether it blows in from the sea, and records from more stations and more years.

“In the north, the rainy months are the warm months, when winds blow in from the warm sea carrying water vapour. In the south, the rainy months are the cool months, when wet winds blow in from the ocean. So it is the winds bringing water vapour, not the heat alone, that brings the rain. Weather scientists use records like these to explain the seasons and to forecast the weather.”

Weather (The Water Cycle): Two weather stations kept records for six months. In the north, the warm months were the wettest. In the south, the cool months were the wettest.

Statement card	Pile	Why
Heat makes it rain everywhere.	Not supported	The southern station was wettest in its coolest months.
In the north, the wettest months were also the warmest.	Supported	Both lists start high in January and fall together.
In the south, most rain fell in the cool months of May and June.	Supported	Those months have the highest rain totals there.
It rains more in the south in June because people there like rain.	Not supported	Nothing in the data is about what people like.
Warmth alone cannot explain when it rains, because the two stations do not match.	Supported	One station is wet when warm, the other when cool, so something else must matter too.

Slaters (Food Chains and Habitats): In a tray with a damp end and a dry end, 8 of 10 slaters went to the damp end. In a tray with a dark end and a light end, 9 of 10 went to the dark end.

Statement card	Pile	Why
Slaters seem to choose places that are damp and dark.	Supported	Both trays point that way.
The slaters went to the damp end because they were bored.	Not supported	Nothing was measured about boredom.
All animals like dark places.	Not supported	Only slaters were tested.
Both trays point the same way: slaters move away from dry, bright places.	Supported	The two results agree.
Slaters gather under logs because it is damp and dark there, which fits the tray results.	Supported	It links what is found outside with what the tests showed.

Northern station: rain (mm)

temperature (°C)

Southern station: rain (mm)

temperature (°C)

Move	Working towards	At standard	Beyond
Find the pattern in data	reads one number at a time	describes the pattern across the months, using the numbers	compares two sets of data side by side
Build an explanation from data	gives a reason with no data behind it	explains the pattern and points to the data that supports it	says what more data would test the explanation
See how people use data	thinks scientists guess and are then proved right	explains that scientists change an explanation when new data does not fit	names people who use data in their work, and what they explain with it