Data-Driven Decisions and School Leadership Best Practices for School Improvement
by Kowalski, Theodore J.; Lasley, Thomas J., II; Mahoney, James W.Edition: 1st
Format: Paperback
Pub. Date: 2007-07-31
Publisher(s): Pearson
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Summary
This 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 bookrs"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 theNo Child Left Behind Actand 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. KEY BENEFITS: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.The studies of decision theory and data-based decision making. Issues related to accumulating, storing, and protecting data in districts and schools also are covered. MARKETt:Pre and in-service administrators, supervisors, and teachers
Table of Contents
| Preface | |
| Foundations of Decision Making In Schools | |
| Problem Solving and Decision Making in the Context of School Reform | |
| Decision-Making Behavior | |
| Decision Complexity, Models, and Action Theories | |
| Group Decision Making | |
| Data-Based Decisions | |
| Understanding Data-Driven Decision Making | |
| Research to Drive Education Decision Making | |
| Collecting and Accessing Data | |
| Technology and Information Management | |
| Applying Data-Based Decisions | |
| Curriculum and Instruction | |
| Effective School Improvement | |
| Implementing and Monitoring Decisions | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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