Early (Pre 5 & P1)

An activity to help students start thinking about data! Students create three dimensional bar charts from data cards. This gives them an intuitive understanding of how individual data points link to a visualization, and why a visualization is useful.

• Curriculum Level: Early (Pre 5 & P1) First (P2-P4)
• Curricular area: Maths & Numeracy
• Topics and Themes: Data Analysis Data visualisation
• PPDAC Framework: Data

We have identified outcomes across the whole Broad General Education and grouped them into topics suitable for applying Data Skills.

• Curriculum Level: Early (Pre 5 & P1) First (P2-P4) 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

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

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

'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

Our Data Explorer cards introduce children and young people to a data problem-solving approach (PPDAC). The design builds on informal question-asking behaviours and supports learners’ exploration of data in relation to the themes of Lego! Birds! Lost Property! Plastics! or a theme of their choosing. Question prompts on the cards support learners to explore problems, plan, collect data, analyse and draw conclusions.

• Curriculum Level: Early (Pre 5 & P1) First (P2-P4) Second (P5-P7)

Introducing the ‘Problem Plan Data Analysis Conclusion’ data problem solving cycle (PPDAC) At Early Level.

• Curriculum Level: Early (Pre 5 & P1)
• PPDAC Framework: Analysis Conclusion Data Plan Problem