Geometry, Measurement and Statistics 4 Explorer Progress Book

Geometry, Measurement and Statistics 4 Explorer Progress Book
Author: Sue Lowndes
Publisher:
Total Pages: 24
Release: 2014-05
Genre:
ISBN: 9780198389798


Download Geometry, Measurement and Statistics 4 Explorer Progress Book Book in PDF, Epub and Kindle

The Explorer Progress Books support the activities in the Numicon Teaching Resource Handbooks and offer an opportunity for teachers to assess individual children and monitor progress.A great assessment tool, allowing teachers to gather evidence of children's achievements.Real-life contexts allow teachers to assess children's ability apply their mathematics learning when faced with 'non-routine' problems.Children are free to record their answers in their own way, so teachers can see their thinking.Geometry, Measurement and Statistics Explorer Progress books are also available as single titles.


Geometry, Measurement and Statistics 4 Explorer Progress Book
Language: en
Pages: 24
Authors: Sue Lowndes
Categories:
Type: BOOK - Published: 2014-05 - Publisher:

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The Explorer Progress Books support the activities in the Numicon Teaching Resource Handbooks and offer an opportunity for teachers to assess individual childre
Numicon: Geometry
Language: en
Pages:
Authors: Tony Wing
Categories:
Type: BOOK - Published: 2014-05 - Publisher:

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The Numicon Geometry, Measurement and Statistics 4 Teaching Pack comprises a Teaching Resource Handbook and an Implementation Guide for teachers of children age
Bulletin of the Atomic Scientists
Language: en
Pages: 88
Authors:
Categories:
Type: BOOK - Published: 1961-05 - Publisher:

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The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhat
The Nation's Report Card
Language: en
Pages: 380
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Type: BOOK - Published: 2001 - Publisher:

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Foundations of Data Science
Language: en
Pages: 433
Authors: Avrim Blum
Categories: Computers
Type: BOOK - Published: 2020-01-23 - Publisher: Cambridge University Press

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a