Contact us on (02) 8445 2300
For all customer service and order enquiries

Woodslane Online Catalogues

9781483332499 Academic Inspection Copy

Data Driven Differentiation in the Standards-Based Classroom

Description
Table of
Contents
Reviews
Google
Preview
In this comprehensive guide to using data to plan differentiated instruction, the authors present step-by-step techniques and planning tools to help teachers design learning that allows all students to grow and achieve to their maximum potential. Four sample units are used to demonstrate every aspect of the planning process, and the authors provide a generous collection of templates, grids, and sample planners for teachers, curriculum designers, and instructional leaders to use at every stop along the way. This resource covers everything you need to know, including: using data to differentiate instruction for student learning styles; using data for pre-assessment, formative assessment, and final assessment; curriculum approaches for data driven instruction.
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
Google Preview content