First (P2-P4)

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

In our Teach Data guide we linked to some resources from New Zealand on Cats and Dragons (or Dragonistics).  Unfortunately these fab resources from Dr Nic are no longer being produced, so we thought we'd share some alternatives.

• Curriculum Level: First (P2-P4) Second (P5-P7)
• Curricular area: Maths & Numeracy

In this award-winning, unplugged activity, learners use strips of material woven into a fence or other large frame to display data, creating a collaborative art installation that is both eye-catching and conversation-sparking.

• Curriculum Level: Early (Pre 5 & P1) First (P2-P4) Second (P5-P7)
• Curricular area: Expressive arts Social Studies
• Topics and Themes: Data visualisation Finding & Using Information

Create your own Zero-waste Data Physicalisation (or Fizzy Data, for short!) In this activity that requires both creativity and understanding a data set, learners will create a fun, physical representation of a provided data set using the materials and tools available.

• Curriculum Level: First (P2-P4) Second (P5-P7) Third (S1-S3)
• Curricular area: Expressive arts Maths & Numeracy
• Topics and Themes: Data visualisation Finding & Using Information

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

Make a Micro:Pet that smiles and sings! In this lesson, learners will code a micro:bit to show a face and make sounds. The learners can then design a papercraft monster to fit round the micro:bit.

• Curriculum Level: Early (Pre 5 & P1) First (P2-P4)
• Curricular area: Expressive arts Technologies

Interested in Pokemon? Hip hop music? Air quality? Gender equality? Football? Space dogs? There's a data set for it!

• Curriculum Level: First (P2-P4) NPA Data Science Second (P5-P7) Senior Phase (S4-6) Third (S1-S3)

'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