Data Driven Differentiation in the Standards-Based Classroom / Edition 1
Step-by-step guidance and a generous collection of templates, rubrics, and planners make this an essential resource for every instructional leader who wants to design differentiated instruction with student success in mind.
Preface About the Authors Introduction: Differentiating With Data for Student Growth and Achievement What Is Our Target? 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 Different Learning Styles Different Intelligences Student Contracting for Reflective Learning Intelligent Behaviors 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 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 Recognizing Similarities and Differences/Using Metaphors and Analogies Summarizing and Note Taking Homework and Practice Nonlinguistic Representations Cooperative Group Learning 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? Why Is It Always About the Student? References Index