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Data Driven Differentiation in the Standards-Based Classroom
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Data Driven Differentiation in the Standards-Based Classroom

Second Edition
July 2014 | 248 pages | Corwin
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Collect the data you need to reach every student!

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!



Praise for the First Edition:
“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

 
Preface
 
Acknowledgments
 
About the Authors
 
Introduction: Differentiating With Data for Student Growth and Achievement
What Is Our Target?

 
Challenges and Shifts Presented by the Common Core State Standards

 
Why Differentiate?

 
Theaters of the Mind: Learning Systems and the Brain

 
Learning Systems and Student Growth

 
Connecting Data to Learning

 
Using Classroom Data to Plan Differentiated Instructional Strategies

 
Targeting Growth for All Students

 
 
1. Collecting Data to Create a Positive Classroom Climate
Positive Classroom Connections

 
Assessing the Learning Environment

 
Using Feedback

 
Ritual, Respect, and Cultural History

 
Differentiating Classroom Climate

 
Differentiating Celebration and Praise

 
Summary

 
 
2. Collecting Data to Know the Learner
Going With the Flow

 
Learning Profiles

 
Different Learning Preferences

 
Different Intelligences

 
Student Contracting for Reflective Learning

 
Gender Differences

 
Cultural Differences

 
Pop Culture Differences

 
21st Century Learners and Technology

 
Reflections

 
 
3. Collecting and Using Assessment Data for Diagnostic Teaching
Diagnostic Teaching

 
Pre-Assessment

 
Formative Assessment

 
Final Assessment

 
Assessing Our Assessments

 
Summary

 
 
4. Curriculum Approaches for Data Driven Instruction
Curriculum Mapping and Data Driven Instruction

 
Standards-Based Unit Planning: Sample Math Unit on Data Analysis and Probability, "The Survey Says . . . ," Grades 3 to 5

 
Critical Questions for Unit Planning

 
Pre-Assessing the Learning Gap for Unit Planning

 
Chunking the Learning

 
Summary

 
Other Sample Unit Plans

 
The Weather Reporter, Grades K to 2

 
Do You Know Your Rights? Grades 5 to 8

 
Argumentation Writing--Convince Me! Grades 9 to 12

 
 
5. Adjustable Assignments for Differentiated Learning
Options for Differentiated Learning

 
Adjustable Learning Grids

 
Adjustable Learning Elements

 
Flexible Grouping

 
Differentiating Pairs

 
Differentiating Small Groups

 
Summary

 
 
6. Instructional Strategies That Increase Student Learning
The Art and Science of Teaching

 
Memory Processes and the Cognitive Learning System

 
Differentiating Instructional Strategies

 
Cooperative Group Learning

 
Nonlinguistic Representations

 
Summarizing and Note Taking

 
Homework and Practice

 
Recognizing Similarities and Differences/Using Metaphors and Analogies

 
Summary

 
 
7. Data Driven Lesson Planning for Differentiated Learning
Using Data for Lesson Planning

 
Essential Elements for Data Driven Lesson Planning

 
Chunking the Learning for Sample Unit Plans

 
Summary

 
 
Conclusion: Putting It All Together for Student Growth and Achievement
How Do We Do All This Without Running From the Room Screaming?

 
What Can We Learn From the Errors and Successes of the Best Teachers?

 
What Are the Major Changes With Common Core State Standards?

 
Why Is It Always About the Student?

 
 
References
 
Index

Sample Materials & Chapters

Table of Contents

Introduction

For instructors

Please contact your Academic Consultant to check inspection copy availability for your course.

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ISBN: 9781483332499
£30.99
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