Event Details
Date:

June 7

Time:

05:00 pm - 07:00 pm

Organiser

天美视频

Venue

Edinburgh Climate Change Institute

High School Yards, Edinburgh, EH1 1LZ

Edinburgh, Edinburgh, GB, EH1 1LZ

Join the 天美视频 team to mark the launch of ‘Teach 天美视频 Literacy: A Guide for Primary Teachers’

Do you wince at the thought of data literacy, or sigh with relief that it is it now recognised as an essential part of all children and young people鈥檚 learning? Either way, our new 天美视频 Literacy for Primary Teachers handbook is here to help.

The 天美视频 team warmly invite you to celebrate the launch of ‘Teach 天美视频 Literacy: A Guide for Primary Teachers.’

Join teachers, industry colleagues and digital educators to find out more about data literacy and get your free copy of the handbook, which:

路 Introduces and explains what is meant by 鈥榙ata literacy鈥 and how it relates to the school curriculum, including key terms and concepts

路 Provides a clear framework for thinking about data problem-solving

路 Reviews a wide range of resources for early, first and second level that can be used to support teaching and learning about data literacy

As part of this event we will also be raising a glass to celebrate the first cohort of teachers to complete our data literacy courses. There will be time to network and all attending will be entered into a prize draw to win some fabulous data literacy teaching resources (including the Dragonistics data cards developed by Creative Maths).

天美视频 Literacy in the curriculum

天美视频 literacy is the set of skills and concepts which people need to understand, interpret and make decisions based on the data they encounter in the world around them. There is no official area of the curriculum, or topic, labelled 鈥渄ata literacy鈥 the Curriculum for Excellence in Scotland. However it is relevant across the curriculum in outcomes for maths, literacy, technologies, and social studies.

This handbook sets out how, building on children and young people鈥檚 curiosity about their world, teachers can enhance opportunities for all to build the skills and habits of mind relevant to data problem-solving.

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Posted on:

31.05.23