Here you can download:

• Outcomes in Early Years and Primary (Excel file)
• Outcomes in Secondary (Excel file)
• Topics for using data skills (Powerpoint with Outcomes)

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Have you used one of these books to teach data in your classroom and want to share your experience? Is there a book not listed below that you would recommend to other teachers? Get in touch!

David Smith (2018) If the world were a village. Bloomsbury Education.

David Smith (2016) If… A mind bending way of looking at big ideas and numbers. Wayland.

Miranda Smith (2022) If the world were 100 animals Red Shed.

Carl Bergstrom and Jevin West (2021) Calling Bullshit. The art of scepticism in a data-driven world. Penguin Random House.

Ron Ritchart, Mark Church, and Karin Morrison (2011) Making Thinking Visible: How to promote engagement, understanding, and independence for all learners. Jossey-Bass

 

Stuart Murphy (2022) Show and Tell! Great graphs and smart charts: an introduction to infographics. Charlesbridge Publishing.

 

James Cheshire and Oliver Uberti (2016) Where the animals go: Tracking Wildlife with Technology in 50 Maps and Graphics. Particular Books.

 

James Cheshire and Oliver Uberti (2021) Atlas of the Invisible. Particular Books.

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Find a visualisation to use as a starting point for a lesson or a conversation with your learners, or have your learners look through some examples before creating a data visualisation of their own.

©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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The guide offers practical guidance, links to resources and a poster to support teaching data literacy skills and concepts across the primary curriculum.

Along with discussions of the importance of real world data and the impact of data both on our personal lives and society as a whole, the resource outlines how teachers can use the ‘PPDAC’ (Problem, Plan, ÌìÃÀÊÓƵ, Analysis, Conclusions) data problem-solving cycle in a variety ways.

The digital version of the handbook, which we hope will be used by schools across Scotland (and beyond) can be downloaded here:

Download ‘Teach ÌìÃÀÊÓƵ Literacy: a guide for primary teacher’

If you require this document in an alternative format, such as large print or a coloured background, please contact ÌìÃÀÊÓƵ by email at dataschools@ed.ac.uk

©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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The ‘Outcomes to learn ÌìÃÀÊÓƵ Skills’ worksheet shows the Experiences and Outcomes across the curricular areas that will help learners to gain these skills.

The ‘Contexts to apply ÌìÃÀÊÓƵ Skills’ tab shows the Experiences and Outcomes that would be suitable for learners applying their data literacy skills. These are grouped together in similar contexts or possible projects.

How to use the spreadsheet

To change between the different sheets, click on the tabs at the bottom of the Excel window.

To view and explore the difference Experiences and Outcomes within a topic, click on the ‘+’ symbol (on the left) to expand the rows.

When you’re finished looking at the rows within a topic, click on the ‘-‘ symbol on the left to hide the rows again.

If you require this document in an alternative format, such as large print or a coloured background, please contact dataschools@ed.ac.uk.

Spreadsheet

Curriculum map

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