Collect, sort and compare data

Learning intention

• collect, sort and compare data represented by objects and images in response to given investigative questions that relate to familiar situations

Curriculum

• collect, sort and compare data represented by objects and images in response to given investigative questions that relate to familiar situations

Elaboration expansion and examples 1

• E1: collecting, and sorting data collected through everyday activities or events; for example, sorting toys into categories, such as “toys that move” and “toys that don’t move” Learning connection: Data helps answer a question when responses are collected, sorted consistently, displayed clearly and compared.
• E2: collecting and deciding how to organise data to answer “Yes/No” questions; for example, “Do more people in our class today have shoes with laces than without?”; explaining that lining up, and matching shoes with and without laces one-to-one will answer the question Learning connection: Data helps answer a question when responses are collected, sorted consistently, displayed clearly and compared.

Elaboration expansion and examples 2

• E3: creating classroom charts and rosters using stickers to represent data; comparing and interpreting representations Learning connection: Data helps answer a question when responses are collected, sorted consistently, displayed clearly and compared.
• E4: role-playing being a robot that sorts objects into groups based on a set of instructions; for example, imitating a robot designed to pack things away in the classroom or an industrial robot programmed to sort products on an assembly line by colour or shape Learning connection: Data helps answer a question when responses are collected, sorted consistently, displayed clearly and compared.

Elaboration expansion and examples 3

• E5: role-playing, as a class, at training an artificial intelligence system to recognise objects, asking yes/no questions to gather data to make the best guess about the identification of a mystery object Learning connection: Data helps answer a question when responses are collected, sorted consistently, displayed clearly and compared.
• E6: investigating statistical contexts after reading a story, such as "The Waterhole" by Graeme Base; asking and responding to questions like “What different animals did you see?”, “How many different types of animals were there?” or “Were there more tigers or kangaroos?” Learning connection: Data helps answer a question when responses are collected, sorted consistently, displayed clearly and compared.

Elaboration expansion and examples 4

• E7: exploring what and how information from the environment is collected and used by First Nations Australians to predict weather events Learning connection: Data helps answer a question when responses are collected, sorted consistently, displayed clearly and compared.
• From question to answer: ASK “Do more children have shoes with laces or without laces?” COLLECT + SORT laces: 👟 👟 👟 👟 no laces: 👟 👟 👟 COMPARE Line rows up. The laces category has one more response. Think aloud: Build or point to the model first, explain what each part shows, then state the answer.
• Display data so comparison is easy: moves: ● ● ● ● ● doesn't move:● ● ● Aligned rows make “most”, “least” and “same” easier to see.

AC9MFST01 · AC9MFST01: Collect, sort and compare data represented by objects and images...

Learning focus: collect, sort and compare data represented by objects and images in response to given investigative questions that relate to familiar situations

Model it: role-playing being a robot that sorts objects into groups based on a set of instructions; for example, imitating a robot designed to pack things away in the classroom or an industrial robot programmed to sort products on an assembly line by colour or shape Learning connection: Data helps answer a question when responses are collected, sorted consistently, displayed clearly and compared.

Ask the learner: Which category has more: ●●●● or ●●?

Look for: The learner can collect, sort and compare data represented by objects and images in response to given investigative questions that relate to familiar situations in a fresh example and explain the evidence or reasoning without copying the model.

If they are stuck: If the learner guesses or repeats a rule without evidence, return to the concrete or visual model and ask them to explain what each part shows.

Assessment-style questions and review hints 1

Assessment-style questions and review hints 2

Exit ticket

• Suggest two categories for sorting classroom toys.

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