Tools and Techniques for Effective Data-Driven Decision Making

Streifer, Philip A.

ISBN 10: 1578861233 / ISBN 13: 9781578861231

Editore: ScarecrowEducation, 2004

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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. . . . . Books ship from the US and Ireland. Codice articolo V9781578861231

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Titolo: Tools and Techniques for Effective ...

Casa editrice: ScarecrowEducation

Data di pubblicazione: 2004

Legatura: Brossura

Condizione: New

Descrizione articolo

Riassunto:

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.

L'autore:

Philip A. Streifer is associate professor of educational leadership at the NEAG School of Education, University of Connecticut, where he directs and teachers UCONN's Executive Leadership Program for superintendency preparation and certification. He is also program coordinator for the school's educational administration programs.

His research interest is in how educational organizations improve in a data-driven rich environment, and he has spoken and published on this topic nationally. He has served as superintendent of schools in Avon, CT and Barrington, RI before joining the University of Connecticut and has held building and district level leadership positions in several Connecticut and Rhode Island school districts.

Streifer is the author of Using Data to Make Better Educational Decisions (ScarecrowEducation, 2002), and is also President of his own firm, EDsmart, Inc. that provides information technologies to schools nationally.