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Turning the Page on Complex Texts: Differentiated Scaffolds for Close Reading Instruction (Grade-Specific Classroom Scenarios for Common Core State St (Paperback)

Turning the Page on Complex Texts: Differentiated Scaffolds for Close Reading Instruction (Grade-Specific Classroom Scenarios for Common Core State St Cover Image
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Description


Ensure all learners become successful close readers. In this powerful resource, the authors examine what features make a text complex. Learn how to select appropriate complex texts and design instruction to meet the needs of every student. Explore grade-specific classroom scenarios that illustrate how to scaffold lessons to foster close reading and deepen comprehension at all stages of K-12 education.

Benefits

  • Gain practical teaching strategies for creating close reading lessons.
  • Consider grade-level-specific instructional scenarios that illustrate how to support students' reading comprehension as they learn to read closely.
  • Learn how to evaluate a text's complexity and how to ask text-dependent questions that can help students engage with a text.
  • Study evidence for why continuous close assessment of student performance is vital for making sure all students learn to closely read complex texts.
  • Discover potential contingency scaffolds for the classroom and how to use them to promote student success in closely reading a text.

Contents

Introduction

Part I: Background and Planning Information

1 Understanding Close Reading

2 Identifying Text Complexity

3 Making Decisions That Support Close Reading Instruction

4 Assessing During Close Reading

Part II: Instructional Scenarios

5 Understanding What the Text Says Through Differentiated Scaffolds

6 Understanding How the Text Works Through Differentiated Scaffolds

7 Understanding What the Text Means Through Differentiated Scaffolds

8 Supporting Knowledge Demands with Differentiated Scaffolds

Epilogue

Appendix A

References and Resources


Product Details
ISBN: 9781935249467
ISBN-10: 1935249460
Publisher: Solution Tree
Publication Date: May 6th, 2016
Pages: 184
Language: English