pdf, 1.03 MB
pdf, 1.03 MB

KS1 Science: Habitats - woodlouse habitats

Use these cross curricular resources to get pupils to investigate woodlouse habitats, represent their findings in pictograms and answer scientific questioning.This investigation also includes maths targets of using a tally and bar chart. It complements our book ‘Habitats and Food Chains’ from our FUNdamental Science series. For more information, downloads and to purchase our books, please visit www.rubytuesdaybooks.com

This download helps meet the following National Curriculum targets:

Year 2 Science: Living things and their habitats
Statutory requirements:
Identify that most living things live in habitats to which they are suited and describe how different habitats provide for the basic needs of different kinds of animals and plants, anyhow they depend on each other.
Identify and name a variety of plants and animals in their habitats, including micro-habitats
Describe how animals obtain their food from plants and other animals, using the idea of a simple food chain, and identify and name different sources of food.

Notes and guidance (non-statutory):
Pupils should raise and answer questions that help them to become familiar with the life processes that are common in all living things.
Pupils should be introduced to the terms ‘habitat’ and ‘micro-habitat’.
They should raise and answer questions about the local environment that help them identify and study a variety of plants and animals within their habitat and observe how living things depend on each other.
Pupils should compare animals in familiar habitat with animals found in less familiar habitats, for example, on the seashore, in woodland, in the ocean, in the rainforest.

Year 2 Maths: Statistics
Statutory requirements:
Interpret and construct simple pictograms, tally charts, block diagrams and simple tables
Ask and answer simple questions by counting the number of objects in each category and sorting the categories by quantity
Ask and answer questions about totalling and comparing categorical data.

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