Untangling Data-Based Decision Making

A Problem-Solving Model to Enhance MTSS (A practical tool to help you make sense of student data for effective use in MTSS)

Jason E.l Harlacher, Jon Potter, Adam Collins

• Éditeur: Marzano Resources
• Année: 2024
• ISBN:
  9781943360796
• Édition: 1
• Sujet: Éducation
• Sous-sujet: Éducation générale

This book offers knowledge, strategies, and tools that will help you use data effectively. Applicable to any content area, the four simple steps in this book's problem-solving model include specific questions that will guide your use of data to identify and solve problems that stand in the way of student achievement. Learn how to change instruction, curriculum, and environment to better support students.

K–12 educators and leaders will:

• Understand the proper application of data-based decision making
• Successfully utilize data to improve student learning
• Use worksheets and tools to organize data team meetings
• Become data rich and information rich
• Develop an MTSS within their school or district

Contents:
Introduction
Part 1: Foundations of Data-Based Decision Making
Chapter 1: Overview of the Multitiered System of Supports
Chapter 2: Defining Data-Based Decision Making
Part 2: Data-Based Decision Making at the Systems Level
Chapter 3: Data-Based Decision Making at the Schoolwide Level
Chapter 4: Data-Based Decision Making at Tier 1
Part 3: Data-Based Decision Making at the Student Level
Chapter 5: Data-Based Decision Making at Tier 2 for Groups of Students
Chapter 6: Data-Based Decision Making at Tier 3 for Individual Students
Epilogue
References
Index