Data-Driven Decisions and School Leadership: Best Practices for School Improvement, 1st edition

  • Theodore J. Kowalski
  • Thomas J. Lasley
  • James W. Mahoney

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Overview

The book provides a unique contribution to the literature in this field in that the studies of decision theory and data-based decision making are integrated. Focusing on educators assuming leadership roles in school improvement, the book’s content is equally relevant for administrators, supervisors, and teachers.

The book, however, is centered on data-driven decision making, both as a requirement of the No Child Left Behind Act and as a normative professional standard. Issues related to accumulating, storing, and protecting data in districts and schools also are covered. Applications in administration, supervision, and teaching are demonstrated.

Table of contents

PREFACE.


PART I: FOUNDATIONS OF DECISION MAKING IN SCHOOLS

 

Chapter 1: Problem Solving and Decision Making in the Context of School Reform

 

Chapter 2: Decision-Making Behavior

 

Chapter 3: Decision Complexity, Models, and Action Theories

 

Chapter 4: Group Decision Making

 

PART II: DATA-BASED DECISIONS

 

Chapter 5: Understanding Data-Driven Decision Making

 

Chapter 6: Research to Drive Education Decision Making

 

Chapter 7: Collecting and Accessing Data

 

Chapter 8: Technology and Information Management

 

PART III: APPLYING DATA-BASED DECISIONS

 

Chapter 9: Curriculum and Instruction

 

Chapter 10: Effective School Improvement

 

Chapter 11: Implementing and Monitoring Decisions

Published by Pearson (July 31st 2007) - Copyright © 2008