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Differentiating in Data Analysis & Probability, Prek-Grade 2: A Content Companionfor Ongoing Assessment, Grouping Students, Targeting Instruct Ion, an

Contributor(s): Taylor-Cox, Jennifer (Author)

ISBN: 9780325021850

Publisher: Heinemann Educational Books

Binding Types:

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Pub Date: September 22, 2008

Dewey: 372.7

LCCN: 2008017186

Lexile Code: 0000

Features: Bibliography, Illustrated, Index

Target Age Group: NA to NA

Physical Info: 0.01" H x 10.88" L x 8.28" W ( 0.45 lbs) 112 pages

BISAC Categories:

Education | Schools | Levels Elementary

Series: Differentiating in Math Conten

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Description:

Differentiating in Data Analysis & Probability, PreK-Grade 2 applies Jennifer Taylor-Cox's easy but effective differentiation strategies to the data analysis and probability content standard. Taking the foundational elements of differentiation in Differentiating in Number & Operations and the Other Math Content Standards, PreK-Grade 2, it helps you:

  • assess students' math abilities quickly and efficiently
  • group children by need
  • target instruction to meet every student's need
  • adjust levels of cognitive demand.
Use Differentiating in Data Analysis & Probability, PreK-Grade 2 and bring the power of differentiation to data analysis and probability while you help every student learn and enjoy math.

Brief description: Jennifer Taylor-Cox is the author of Differentiating in Number & Operation and the Other Math Content Standards, PreK-Grade 2. She is a nationally known educator who combines her experiences and expertise into practical advice for math educators who want to differentiate instruction. She is a teacher and an educational consultant who provides professional development in numerous districts across the United States, where she shares her passion and enthusiasm for mathematics education with teachers, administrators, students, and parents.

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