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Data Driven Differentiation in the Standards-Based Classroom
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Updated Edition of Bestseller

Data Driven Differentiation in the Standards-Based Classroom

Second Edition


© 2014 | 248 pages | Corwin
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
Key features
  • By the author of Corwin's best-selling Differentiated Instructional Strategies: One Size Doesn't Fit All
  • Step-by-step guide to collecting and using data to plan standards-based instruction in the differentiated K-12 classroom.
  • Comprehensive scope covers research base, data-collection methods and tools, and applications for lesson planning and student assessment before, during, and after instruction.
  • Ideal for classroom teachers, curriculum developers, instructional leaders, and district administrators with accountability for demonstrating what students know and can do.
  • Includes four detailed sample units that take the readers through every step of the process.
  • Includes a comprehensive collection of reproducibles and samples for data collection, lesson planning, and student assessments before, during, and after instruction. 

Sample Materials & Chapters

Table of Contents

Introduction


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ISBN: 9781483332499
$34.95

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