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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.
This text investigates the integration of decision theory and data-based methodologies to enhance school improvement outcomes for educational leaders. The authors, Mahoney, Kowalski, and Lasley, draw upon their expertise in educational administration to bridge the gap between theoretical decision-making frameworks and the practical requirements imposed by legislative mandates like the No Child Left Behind Act. By synthesizing normative professional standards with actionable strategies, the book provides a comprehensive guide for administrators, supervisors, and teachers tasked with navigating complex data environments.
What You Will Find
The text serves as a technical resource for practitioners seeking to formalize their approach to data-driven school improvement. Its focus on the intersection of policy requirements and administrative practice suggests a high level of utility for graduate-level educational leadership programs and district-level professional development.
Page Count:
288
Publication Date:
2007-07-31
Publisher:
Pearson
ISBN-10:
0205496687
ISBN-13:
9780205496686
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