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resources introducing concepts, teacher led lessons, worksheets & assessments

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base – skill level

primary school numeracy

https://www.mindset.africa/wp-content/uploads/2025/10/grade-six-maths.png

OVERVIEW

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GRADE 1: Mathematics: TERM 3

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Patterns – Part 3

SKU: 

G6T2W5E03

Investigate, describe & extend numeric patterns by identifying the rule, including patterns with a constant difference (arithmetic patterns) or a constant ratio (geometric patterns).

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Recognising 2-D Shapes

SKU: 

G6T2W6E01

Identify, name & describe a range of 2‑D shapes, including regular and irregular polygons triangles, squares, rectangles, parallelograms, other quadrilaterals, pentagons, hexagons, heptagons & octagons.
Recognise the distinguishing features o…

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Recognising Different Angles

SKU: 

G6T2W6E03

Identify & name different types of angles in 2‑D shapes, including acute, right, obtuse, straight, reflex, & revolution angles.
Recognise these angles in real‑life objects & geometric diagrams.

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Describing Shapes

SKU: 

G6T2W7E01

Recognise that any closed shapes with 4 straight sides is called a quadrilateral.

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Properties of 3-D Objects

SKU: 

G6T2W7E03

Name & describe 3‑D objects: rectangular prisms, cubes, tetrahedrons & other pyramids.
Compare tetrahedrons with other pyramids, noting similarities & differences (e.g., number of faces, base shape).

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Understanding Graphs

SKU: 

G6T2W2E03

Draw & interpret different types of graphs, including pictographs (using many‑to‑one symbols), bar graphs & double bar graphs.
Use these graphs to display data clearly & answer questions about the information shown.

Data Handling

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Analysing, Interpreting & Reporting Data

SKU: 

G6T2W3E01

Critically read & interpret data presented in words, pictographs, bar graphs, double bar graphs & pie charts.
Answer questions & draw conclusions based on the information shown in different data representations.

Data Handling

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Analysing Data

SKU: 

G6T2W3E03

Analyse data by answering questions about data categories, including data intervals, data sources & contexts.
Identify & describe data sources & the context in which the data was collected.

Data Handling

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