Teach Data Literacy: a guide for primary teachers
'Teach Data Literacy: a guide for primary teachers' is a resource developed by the Data Education in Schools team to support teachers to enhance opportunities for all to build the skills and habits of mind relevant to data problem-solving.
- Curriculum Level: Early (Pre 5 & P1) First (P2-P4) Second (P5-P7)
- Curricular area: Expressive arts Health and wellbeing Languages Maths & Numeracy Religious and moral education Sciences Social Studies Technologies
- Topics and Themes: Activity, Diet, Rest and Sleep Biodiversity and Interdependence Data Analysis Data visualisation Diet Digital Literacy Finding & Using Information Past Events and Societies People in society, economy and business Processing and Managing Information Responsibly
- PPDAC Framework: Analysis Conclusion Data Plan Problem
From your plate to the planet: the environmental impact of what we eat
Download the lesson plan in Word or PDF
- Curriculum Level: Second (P5-P7)
- Curricular area: Expressive arts Health and wellbeing Maths & Numeracy Social Studies Technologies
- Topics and Themes: Data Analysis Diet Digital Literacy Finding & Using Information People in society, economy and business
- PPDAC Framework: Analysis Conclusion Data Plan Problem
Welcome Trainee Agents of DATA!
Information for Trainee Agents: Welcome! Thank you for joining the Defence Against Temporal Attacks as a Trainee Agent.
- Curriculum Level: Second (P5-P7)
- PPDAC Framework: Analysis Conclusion Data Plan Problem
CityFibre’s ‘Internet for All’ Data Challenge
NPA Data Science: Level 6 assessment exemplar How do we make sure everyone in Scotland as fast internet access? The Scottish Government has committed to having superfast broadband access to all by the end of 2021. Grants are in place for suppliers to help deliver this mission.
- Curriculum Level: NPA Data Science Senior Phase (S4-6)
- Curricular area: Technologies
- Topics and Themes: Blended or Home Learning Computer Science Data Analysis Finding & Using Information People in society, economy and business Processing and Managing Information Responsibly
- PPDAC Framework: Analysis Conclusion Data Plan Problem
What’s Going on in this Graph – SDGs & Water
This resource develops learner's data interpretation skills by asking " What's going on in this graph?" This material was taken from our Webinar – Making a Splash with Data
- Curriculum Level: Second (P5-P7) Senior Phase (S4-6) Third (S1-S3)
- Curricular area: Sciences Social Studies Technologies
- PPDAC Framework: Analysis Conclusion Data
Dear Data (6 Lessons)
Dear Data This resource brings together 6 lessons that make use of the book Dear Data by Stefanie Posavec and Giorgia Lupi.
- Curriculum Level: Second (P5-P7)
- Curricular area: Maths & Numeracy Technologies
- Topics and Themes: Data Analysis Finding & Using Information
- PPDAC Framework: Analysis Conclusion Data Plan Problem
DataFit – Developing Data & Physical Activity Literacy
The DataFit mission is to simultaneously increase data literacy and physical activity literacy.
- Curriculum Level: Second (P5-P7) Third (S1-S3)
- Curricular area: Languages Technologies
- Topics and Themes: Activity, Diet, Rest and Sleep Digital Literacy
- PPDAC Framework: Analysis Conclusion Data Plan Problem
Seasonal Datasets
Some resource links to support your exploration of seasonal data. If you have datasets you would like to see included on this page, please get in touch at dataschools@ed.ac.uk (subject line 'seasonal datasets')
- Curriculum Level: Second (P5-P7) Senior Phase (S4-6) Third (S1-S3)
- Curricular area: Expressive arts Maths & Numeracy
- Topics and Themes: Data Analysis
- PPDAC Framework: Data Plan Problem
Spooky Data – Learning about Databases
This resource uses the Scottish witch trials as the context to develop learners’ data literacy skills and to introduce the idea of a database.
- Curriculum Level: Third (S1-S3)
- Curricular area: Social Studies Technologies
- Topics and Themes: Past Events and Societies Processing and Managing Information Responsibly
- PPDAC Framework: Analysis Data