Skill companion: How People Use Data (Year 3) — reusable Human Endeavour scaffolds

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Skill companion · Year 3 Human Endeavourseegongsik /au

How People Use Data: a skill companion

A small set of reusable sheets about how people use data to explain what happens. A gardener, a nurse and a weather forecaster each measure something again and again, look for the pattern, and let the data shape their explanation. Print the sheets once and slot them into the science lessons you are already teaching.

AC9S3H01

examine how people use data to develop scientific explanations

What a skill companion is

Human Endeavour is about science as something people do. It is not a topic of its own; it grows alongside the science units a class teaches all year, such as Living and Non-living Things, Soils, Rocks and Minerals, Heat and Temperature, and Solids, Liquids and Changing State. So this pack is not a full term of lessons. It is a take-home data-detective sheet, a from-data-to-explanation frame, cut-out evidence cards, a pairing map showing where each one fits, a short stand-alone mini-lesson and an answer sheet.

Start here: five minutes

Read the pairing map on the next page: it shows people who collect data in each Year 3 topic.
Send the data-detective sheet home so each child finds a person who collects data, then brings it back to share.
Print the data-to-explanation frame, one per child, whenever the class collects data over several days.
Cut out the evidence cards once. They are reused all year, and the blank cards fit any topic.
Open the free interactive unit on your board for a worked example, or run the one-page mini-lesson to teach the idea on its own first.

No science background needed

This pack is written for the busy generalist teacher. Data is what people measure or count and write down. An explanation says why something happens; it often starts as a guess and gets better as more data comes in. The answer sheet gives the evidence-card key, model detective findings and a quick three-level guide.

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 “A gardener measures a plant each day”, press “Add next evidence” and “Start over” in “More data, a better explanation”, and sort the data with “Supports” and “Does not support” in “Sort the data: what supports the explanation?”. Each sheet in this pack turns one of those moves into something children do on paper.

seegongsik.com/au/y3/human-endeavour/AC9S3H01

Aligned to the Australian Curriculum V9 (AC9S3H01). 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 skill fitsPairing map

Slot the idea into your science lessons

The same idea, people collecting data to explain what happens, fits into every science unit. This map shows people who collect data in each Year 3 topic, the data and what it helps them explain, 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	The data, and what it explains	Scaffold to slot in
Living and Non-living Things (AC9S3U01)	A gardener or a farmer	Plant heights each week, to explain which spot, or how much water, helps plants grow	Data-to-explanation frame, then the evidence cards
Soils, Rocks and Minerals (AC9S3U02)	A farmer or a soil scientist	How fast water drains through the soil in each paddock, to explain why some paddocks stay boggy after rain	Data detective
Heat and Temperature (AC9S3U03)	A nurse or a doctor	A patient’s temperature every few hours, to explain whether a fever is going away	Data detective, then the data-to-explanation frame
Solids, Liquids and Changing State (AC9S3U04)	A weather forecaster	Overnight temperatures, to explain, and then predict, when frost will form on the grass	Data detective
Any science topic	Someone at home or at school	Anything measured again and again, such as heights marked on a door frame	Data detective first

The three moves, and the picture that backs each one

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.

Collect data again and again, and look for the pattern: “A gardener measures a plant each day”.
Let more data sharpen an explanation, from a guess to a tested reason: “More data, a better explanation”.
Keep the data that supports the explanation, and set aside facts that do not test it: “Sort the data: what supports the explanation?”.

How the scaffolds build the skill

The data detective takes the idea home: children find a real person who measures something again and again, and say what the data helps them explain. The data-to-explanation frame follows a class investigation from a first guess to an explanation that each new piece of data has sharpened. The evidence cards sharpen the judgement behind both: telling data that supports an explanation from facts that are true but test nothing.

Scaffold 1 · Data detectiveTake it home

Data detective

NameClassDate

Many people collect data: they measure or count something again and again, write it down, and use it to explain what is happening. Find one person who does this. You could ask someone at home.

The person, and their job:

The data they collect:

The instrument they use:

How often they collect it:

What the data helps them explain or decide

Draw the person collecting their data

Bring this sheet back to share with the class.

Teacher note: a family member who weighs flour, a coach with a stopwatch or a grandparent with a rain gauge all count. The point is the same data collected again and again, and the explanation it helps them reach.

Scaffold 2 · Data to explanationOne per child

From data to explanation

NameClassDate

An explanation says why something happens. It often starts as a guess and gets better as more data comes in. Fill one row at a time as your class collects data.

What we are trying to explain:

1. What we noticed first

Our first guess

2. Data we collected

Our explanation now

3. More data

Our explanation now

How sure are we now?Very sure □ Fairly sure □ Not sure yet □

More data that would make us surer:

An explanation that changes is not a mistake: it means the data taught you something.

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

Which data supports the explanation?

The school gardener measured the tomato plants in two garden beds and came up with an explanation. Cut out the cards and sort them into two piles: data that supports the explanation, and facts that do not test it.

THE EXPLANATION

The tomato plants in the north bed grow taller than the ones in the south bed because the north bed gets more sunshine.

The north bed gets about 7 hours of sunshine a day; the south bed gets about 3.

The fence behind the north bed is painted blue.

Every week for five weeks, the north-bed plants were taller than the south-bed plants.

The gardener says the north bed is her favourite.

Both beds are watered by the same timer and have the same soil.

One child guessed the south bed would grow the tallest plants.

Plants under a shade cloth in the north bed grew more slowly than the uncovered plants beside them.

Tomatoes turn red when they are ripe.

The garden club meets on Wednesdays.

There is a bird bath near the south bed.

The same kind of seedling, all the same size, was planted in both beds on the same day.

Last year the plants in the north bed grew taller too.

Write more data the gardener could collect:

Teacher note: the two piles are “supports” and “does not test it”. Several cards are true but beside the point, and that is the lesson. The answer sheet lists which is which, and why.

Mini-lesson · Teacher planAbout 30 minutes

Data makes the explanation

Use this stand-alone lesson to teach the idea on its own, before you fold it into a science topic. It runs the three scaffolds in this pack in one short block, so children meet the whole idea in one go and then reuse the sheets all year.

We are learning to

say what data is, and why people collect it,
show how more data changes an explanation,
pick out the data that really supports an explanation.

Success criteria

I can name a person who collects data and say what it helps them explain.
I can sort data that supports an explanation from facts that do not test it.

You need

the evidence cards (scaffold 3), one set per table, cut out ahead or by fast finishers,
the data-to-explanation frame (scaffold 2), one per child, and the data-detective sheet (scaffold 1) to send home,
the class’s own plant or weather records, if you keep any (optional),
the free interactive unit on your board.

Lesson flow (about 30 minutes)

5 min	Who collects data? Ask who measures or counts something again and again: a nurse, a weather forecaster, a coach with a stopwatch, a family marking heights on a door frame. Ask: “Why would a nurse write the temperature down instead of just remembering it?”
10 min	From a guess to an explanation Step through the board example one piece of data at a time (see the box). Children fill the data-to-explanation frame alongside it, one row per step. Ask: “Has the explanation changed? Which new data changed it?”
10 min	Sort the evidence Tables sort the garden-bed cards into the two piles. Ask: “The fence really is blue. Does that test the explanation?”
5 min	Data detectives Hand out the data-detective sheet to take home, and share one example together first. Ask: “Who at home measures or counts something again and again?”

Running it shorter? Do the board example and the cards, and send the data-detective sheet home to share next lesson.

On the board

For a worked example, open the unit and show “More data, a better explanation”. Press “Add next evidence” one step at a time and read the class explanation after each one, from “Maybe the taller plant is just an older or luckier plant” to “Water was the reason for the difference”. “Start over” begins again.

seegongsik.com/au/y3/human-endeavour/AC9S3H01

Watch for these ideas

Thinking an explanation should be right the first time. People change an explanation as new data comes in.
Counting any true fact as evidence. A blue fence is true, but it does not test the explanation.
Thinking only scientists collect data. Nurses, farmers, coaches and families do it too.

Make it easier, make it bigger

Easier: sort only the six cards that are clearly data or clearly not, with a partner.
Bigger: write one more piece of data the gardener could collect on a blank card, and say how it would test the explanation.

Answers and look-fors

The next sheet has the evidence-card key, model data-detective findings and a quick three-level guide.

Answers · For the teacherModel responses

Answers and look-fors

Evidence cards: does it support the explanation?

The explanation: The tomato plants in the north bed grow taller than the ones in the south bed because the north bed gets more sunshine.

Data card	Supports?	Why
The north bed gets about 7 hours of sunshine a day; the south bed gets about 3.	Yes	It is measured data, and it shows the north bed really does get more sunshine.
The fence behind the north bed is painted blue.	No	It is true, but the colour of the fence does not test whether sunshine makes the plants taller.
Every week for five weeks, the north-bed plants were taller than the south-bed plants.	Yes	Measuring again and again shows the difference is real and keeps on happening.
The gardener says the north bed is her favourite.	No	A favourite is an opinion, not data.
Both beds are watered by the same timer and have the same soil.	Yes	With the water and the soil the same, sunshine is left as the likely reason for the difference.
One child guessed the south bed would grow the tallest plants.	No	A guess is not data. Only what was measured can support or test the explanation.
Plants under a shade cloth in the north bed grew more slowly than the uncovered plants beside them.	Yes	Taking the sunshine away slowed the plants down, which is strong evidence that sunshine is the reason.
Tomatoes turn red when they are ripe.	No	It is true about tomatoes, but it says nothing about why one bed grows taller plants.
The garden club meets on Wednesdays.	No	The day the club meets has nothing to do with how the plants grow.
There is a bird bath near the south bed.	No	Nothing in the data links the bird bath to the height of the plants.
The same kind of seedling, all the same size, was planted in both beds on the same day.	Yes	The plants started the same, so the difference came from the beds, not the seedlings.
Last year the plants in the north bed grew taller too.	Yes	The same pattern in another year adds to the evidence.

In Australia the sun stays in the northern half of the sky, so a garden bed on the north side of a building gets more sunshine than one on the south side.

Data detective: what good findings sound like

Findings will vary, and that is fine. The point is a real person, the data they collect again and again, how they collect it, and what it helps them explain.

Person	Data	Instrument, how often	What it helps explain
A nurse	A patient’s temperature	A thermometer, every few hours	Whether a fever is going down
A weather observer	Rainfall	A rain gauge, read every morning at 9 am	Whether this month is wetter or drier than usual
A coach	Race times	A stopwatch, at every training session	Whether the team is getting faster
A family at home	A child’s height	A tape measure on the door frame, each birthday	How fast the child is growing

A quick three-level guide

Move	Working towards	At standard	Beyond
Name how people use data	names a job without the data	names a person, the data they collect and what it helps them explain	explains why collecting it again and again matters
Use data to explain	keeps the first guess whatever the data says	changes the explanation when new data comes in	says what more data would make the explanation surer
Choose the evidence	counts any true fact as evidence	sorts data that supports the explanation from facts that do not test it	explains why a fact that is true can still test nothing

A child at standard names a person who collects data, follows how new data changes an explanation, and keeps only the data that supports it. The idea grows all year, so keep the sheets coming back in every science topic.