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Table of Contents

List of Figures

List of Videos

About the Teachers Featured in the Videos

Foreword

About the Authors

Acknowledgments

Preface

Chapter 1. Make Learning Visible in Mathematics

  • Forgetting the Past
  • What Makes for Good Instruction?
  • The Evidence Base
  • Meta-Analyses
  • Effect Sizes
  • Noticing What Does and Does Not Work
  • Direct and Dialogic Approaches to Teaching and Learning
  • The Balance of Surface, Deep, and Transfer Learning
  • Surface Learning
  • Deep Learning
  • Transfer Learning
  • Surface, Deep, and Transfer Learning Working in Concert
  • Conclusion
  • Reflection and Discussion Questions

Chapter 2. Making Learning Visible Starts With Teacher Clarity

  • Learning Intentions for Mathematics
  • Student Ownership of Learning Intentions
  • Connect Learning Intentions to Prior Knowledge
  • Make Learning Intentions Inviting and Engaging
  • Language Learning Intentions and Mathematical Practices
  • Social Learning Intentions and Mathematical Practices
  • Reference the Learning Intentions Throughout a Lesson
  • Success Criteria for Mathematics
  • Success Criteria Are Crucial for Motivation
  • Getting Buy-In for Success Criteria
  • Preassessments
  • Conclusion
  • Reflection and Discussion Questions

Chapter 3. Mathematical Tasks and Talk That Guide Learning

  • Making Learning Visible Through Appropriate Mathematical Tasks
  • Exercises Versus Problems
  • Difficulty Versus Complexity
  • A Taxonomy of Tasks Based on Cognitive Demand
  • Making Learning Visible Through Mathematical Talk
  • Characteristics of Rich Classroom Discourse
  • Conclusion
  • Reflection and Discussion Questions

Chapter 4. Surface Mathematics Learning Made Visible

  • The Nature of Surface Learning
  • Selecting Mathematical Tasks That Promote Surface Learning
  • Mathematical Talk That Guides Surface Learning
  • What Are Number Talks, and When Are They Appropriate?
  • What Is Guided Questioning, and When Is It Appropriate?
  • What Are Worked Examples, and When Are They Appropriate?
  • What Is Direct Instruction, and When Is It Appropriate?
  • Mathematical Talk and Metacognition
  • Strategic Use of Vocabulary Instruction
  • Word Walls
  • Graphic Organizers
  • Strategic Use of Manipulatives for Surface Learning
  • Strategic Use of Spaced Practice With Feedback
  • Strategic Use of Mnemonics
  • Conclusion
  • Reflection and Discussion Questions

Chapter 5. Deep Mathematics Learning Made Visible

  • The Nature of Deep Learning
  • Selecting Mathematical Tasks That Promote Deep Learning
  • Mathematical Talk That Guides Deep Learning
  • Accountable Talk
  • Supports for Accountable Talk
  • Teach Your Students the Norms of Class Discussion
  • Mathematical Thinking in Whole Class and Small Group Discourse
  • Small Group Collaboration and Discussion Strategies
  • When Is Collaboration Appropriate?
  • Grouping Students Strategically
  • What Does Accountable Talk Look and Sound Like in Small Groups?
  • Supports for Collaborative Learning
  • Supports for Individual Accountability
  • Whole Class Collaboration and Discourse Strategies
  • When Is Whole Class Discourse Appropriate?
  • What Does Accountable Talk Look and Sound Like in Whole Class Discourse?
  • Supports for Whole Class Discourse
  • Using Multiple Representations to Promote Deep Learning
  • Strategic Use of Manipulatives for Deep Learning
  • Conclusion
  • Reflection and Discussion Questions

Chapter 6. Making Mathematics Learning Visible Through Transfer Learning

  • The Nature of Transfer Learning
  • Types of Transfer: Near and Far
  • The Paths for Transfer: Low-Road Hugging and High-Road Bridging
  • Selecting Mathematical Tasks That Promote Transfer Learning
  • Conditions Necessary for Transfer Learning
  • Metacognition Promotes Transfer Learning
  • Self-Questioning
  • Self-Reflection
  • Mathematical Talk That Promotes Transfer Learning
  • Helping Students Connect Mathematical Understandings
  • Peer Tutoring in Mathematics
  • Connected Learning
  • Helping Students Transform Mathematical Understandings
  • Problem-Solving Teaching
  • Reciprocal Teaching
  • Conclusion
  • Reflection and Discussion Questions

Chapter 7. Assessment, Feedback, and Meeting the Needs of All Learners

  • Assessing Learning and Providing Feedback
  • Formative Evaluation Embedded in Instruction
  • Summative Evaluation
  • Meeting Individual Needs Through Differentiation
  • Classroom Structures for Differentiation
  • Adjusting Instruction to Differentiate
  • Intervention
  • Learning From What Doesn’t Work
  • Grade-Level Retention
  • Ability Grouping
  • Matching Learning Styles With Instruction
  • Test Prep
  • Homework
  • Visible Mathematics Teaching and Visible Mathematics Learning
  • Conclusion
  • Reflection and Discussion Questions

Appendices

  • A. Effect Sizes
  • B. Standards for Mathematical Practice
  • C. A Selection of International Mathematical Practice or Process Standards
  • D. Eight Effective Mathematics Teaching Practices
  • E. Websites to Help Make Mathematics Learning Visible

References

Index