Differentiating in Data Analysis and Probability, PreK-grade 2
Author | : Jennifer Taylor-Cox |
Publisher | : Heinemann Educational Books |
Total Pages | : 112 |
Release | : 2008 |
ISBN-10 | : 0325021856 |
ISBN-13 | : 9780325021850 |
Rating | : 4/5 (850 Downloads) |
Download or read book Differentiating in Data Analysis and Probability, PreK-grade 2 written by Jennifer Taylor-Cox and published by Heinemann Educational Books. This book was released on 2008 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book applies the author's easy but effective differentiation strategies to the data analysis and probability content standard. Taking the foundational elements of differentiation in this book, it helps you: (1) assess students' math abilities quickly and efficiently; (2) group children by need; (3) target instruction to meet every student's need; and (4) adjust levels of cognitive demand. Contents include: (1) How to Use this Book; (2) Data Analysis and Probability in Prekindergarten Through Second Grade; (3) Targeted Instruction in Data Analysis and Probability; (4) Grouping Students in Data Analysis and Probability; (5) Levels of Cognitive Demand in Data Analysis and Probability; and (6) Personal Assessment in Data Analysis and Probability. [This book is part of the series: "The Differentiating in the Math Content Standards Series".].