Tools and Techniques for Effective Data-Driven Decision Making

Streifer, Philip A.

ISBN 10: 1578861233 / ISBN 13: 9781578861231

Verlag: ScarecrowEducation, 2004

Beschreibung

Philip A. Streifer provides readers with a comprehensive understanding of what data-driven decision making can and cannot tell educators about student achievement and addresses the related issues for leadership, policy development, and accountability. Num Pages: 152 pages, black & white illustrations. BIC Classification: JNK. Category: (P) Professional & Vocational. Dimension: 232 x 154 x 8. Weight in Grams: 240. . 2004. Paperback. . . . . Bestandsnummer des Verkäufers V9781578861231

Bibliografische Details

Titel: Tools and Techniques for Effective ...

Verlag: ScarecrowEducation

Erscheinungsdatum: 2004

Einband: Softcover

Zustand: New

Über diesen Titel

Inhaltsangabe:

Hard to find

Reseña del editor:

With the new federal law, No Child Left Behind, there is ever increasing pressure on schools to be accountable for improving student achievement. That pressure is taking the form of focused efforts around data-driven decision making. However, very little is known about what data-driven decision making can really tell one about improving achievement nor is there a full explanation available about what it really takes to do this work. The few examples that do exist, while proposing to get at some of these issues, make huge assumptions about educators' knowledge base and available resources necessary for success. In this book, Philip Streifer fills the gaps by laying out how this work can be done and then explains what is knowable when one actually conducts these analyses and what follow-up steps are needed to make true improvements. He provides readers with a comprehensive understanding of what data-driven decision making can and cannot tell educators about student achievement and addresses the related issues for leadership, policy development, and accountability.Senior level district administration for policy development, school level administrators who have to put policy into practice, and graduate college professors teaching data-driven decision making will find this book most useful.