Languages

This is an 'unplugged' activity to help demystify AI, where learners work together to create a simple 'ChatGPT' system to generate a story.

• Curriculum Level: First (P2-P4) Second (P5-P7) Third (S1-S3)
• Curricular area: Languages Technologies
• Topics and Themes: Computer Science Digital Literacy Finding & Using Information Processing and Managing Information Responsibly

This is an 'unplugged' activity to help demystify AI, where learners work together to create a baby 'ChatGPT' system and generate a sentence.

• Curriculum Level: First (P2-P4) Second (P5-P7) Third (S1-S3)
• Curricular area: Languages Technologies
• Topics and Themes: Computer Science Digital Literacy Finding & Using Information Processing and Managing Information Responsibly

This is a little activity to help demystify AI to try and explain in a very simple way how machine learning works, what the chat bots we’re using are actually doing, what are large language models actually doing?

• Curriculum Level: First (P2-P4) Second (P5-P7) Third (S1-S3)
• Curricular area: Languages Technologies
• Topics and Themes: Computer Science Finding & Using Information Processing and Managing Information Responsibly

Below is a list of books which teachers have found useful for starting conversations about data in the classroom. Book reviews from teachers and learners will be linked below each title as we receive them.

• Curriculum Level: Early (Pre 5 & P1) First (P2-P4) NPA Data Science Second (P5-P7) Senior Phase (S4-6) Third (S1-S3)
• Curricular area: Expressive arts Health and wellbeing Languages Maths & Numeracy Religious and moral education Sciences Social Studies Technologies

We have pulled together an (ever-growing!) set of data visualisation examples, categorised by type—e.g. bar charts, pie charts, line graphs, scatter plots, histograms, heat maps, and many more—as well as curricular level at which we would expect comprehension and creation of each graph.

• Curriculum Level: Early (Pre 5 & P1) First (P2-P4) NPA Data Science Second (P5-P7) Senior Phase (S4-6) Third (S1-S3)
• Curricular area: Expressive arts Health and wellbeing Languages Maths & Numeracy Religious and moral education Sciences Social Studies Technologies
• Topics and Themes: Data visualisation
• PPDAC Framework: Analysis Conclusion

'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

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

This Excel sheet is a guide to the Experiences and Outcomes in the Scottish 'Broad General Education' curriculum that feature data literacy.

• Curriculum Level: Early (Pre 5 & P1) First (P2-P4) Second (P5-P7) Third (S1-S3)
• Curricular area: Expressive arts Health and wellbeing Languages Maths & Numeracy Religious and moral education Sciences Social Studies Technologies
• PPDAC Framework: Analysis Conclusion Data Plan Problem