Data Driven Differentiation in the Standards-Based Classroom

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

Table of Contents:
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