Good Questions: Great Ways to Differentiate Mathematics Instruction

ISBN: 0807753130

Author: Small, Marian

Condition: New

Praise for the First Edition!''A must for any educator who is serious about reaching more students more often and achieving more positive results.''--Resources for the Mathematics Educator''This is a valuable book for mathematics teachers, teacher educators, and faculty involved in differentiated instruction.''--Choice''This book is a great resource, with realistic applications to current instruction and tips for creating solid math discourse with your students.''--Mathematics: Teaching in the Middle School''The glossary is a great resource for math language, and the index of big ideas provides a snapshot of focus points. . .I highly recommend this user-friendly resource for all mathematics teachers.''--Teaching Children Mathematics''User-friendly teaching examples of questions and tasks will enable teachers to empower learners on all levels, and the tasks are presented with real-world scenarios that students will relate to as intriguing challenges.''--Carolyn Chapman, Creative Learning Connections, Inc., and Rita King, King Learning AssociatesExpanded to include connections to Common Core State Standards, as well as National Council of Teachers of Mathematics (NCTM) standards, this critically acclaimed book will help every teacher and coach to meet the challenges of differentiating mathematics instruction in the K-8 classroom. In this bestseller, math education expert Marian Small explains two powerful and universal strategies that teachers can use across all math content: Open Questions and Parallel Tasks. Showing teachers how to get started and become expert with these strategies, Small also demonstrates more inclusive learning conversations that promote broader student participation and mathematical thinking required by CCSS. Specific strategies and examples for each grade band are organized around NCTM content strands: Number and Operations, Geometry, Measurement, Algebra, and Data Analysis and Probability.