Data Driven Differentiation in the Standards-Based Classroom
- Gayle H. Gregory - Educational Consultant, Burlington, Ontario
- Lin Kuzmich - Educational Consultant, KCS, Inc., Loveland, CO
Data Analysis | Differentiation | Teaching Methods & Learning Styles
When it comes to meeting the rigorous new standards of the Common Core Curriculum, knowing how to collect, analyze, and use data makes all the difference. Fully updated to support the Common Core and other key standards, this informative book shares an author with the best-selling Differentiated Instructional Strategies: One Size Doesn’t Fit All.
Veteran educators Gregory and Kuzmich provide user-friendly techniques for gathering qualitative and quantitative information, helping you tailor instruction and assessment for diverse learners. This resource is ideal for classroom teachers, curriculum developers, instructional leaders, and district administrators. Readers will find:
- Step-by-step guidance on gathering data to improve classroom dynamics, pinpoint student learning styles, adjust lessons for different learners, and inform diagnostic teaching and assessment
- Techniques for using data to enhance curriculum, including numerous unit and lesson plans fully linked to the Common Core
- A wealth of templates for fast and simple data collection
- Updated differentiation strategies for the Common Core and other key standards, including the Career and College Readiness Standards and the Standards of Mathematical Practice
Collect data with ease and discover new tools for differentiated teaching and learning!
“This book reconciles meeting children’s affective needs with the new accountability requirements from the federal and state government. The title may sound daunting, but the chapters are extremely accessible.”
—Maria Elena Reyes, Associate Professor
University of Alaska Fairbanks