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Data-Driven School Improvement: Linking Data and Learning (Technology, Education--Connections)
 
 
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Data-Driven School Improvement: Linking Data and Learning (Technology, Education--Connections) [Paperback]

Editors (Author), Ellen B. Mandinach (Author), Margaret Honey (Author)

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Book Description

0807748560 978-0807748565 March 14, 2008 1
With federal and local demands for increased accountability, educators at all levels are now expected to acquire the necessary skills and knowledge to be effective data users and decision makers. This book brings together stakeholders representing a variety of perspectives to explore how educators actually use data and technology tools to achieve lasting improvement in student performance. The first comprehensive examination of the field, this volume introduces the history of testing and data use, explores current practices and tools, and presents a groundbreaking model for data-driven decision making.

Book Features:

* A valuable framework, based on a three-year project sponsored by the National Science Foundation, describing how data are transformed into usable knowledge.

* Informative case studies illustrating how schools are using data to inform best practice.

* Suggestions for how digital resources can be used to improve teaching in the classroom.

*A thought-provoking treatise on educational reform from the state perspective.

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Editorial Reviews

About the Author

Ellen B. Mandinach is Senior Project Director at the CNA Corporation in Alexandria, VA. Margaret Honey is Senior Vice President for Strategic Initiatives and Research for Wireless Generation, a Brooklyn-based software development company.

Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine R. Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz Rivas, Mark Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
digital resources, reflective process, chief academic officer, special education department, enabling school improvement, student data systems, longitudinal data systems, equity inquiry, cognitive density, items for classroom use, instructional validity, bubble kids, student information system, instructional guidance, progress monitoring, sessment data, content strands, using handheld computers, student performance data, computer data systems, instructional decision making
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, San Francisco, Teachers College, Copyright Clearance Center, Customer Service, Columbia University, Data-Driven School Improvement, Corpus Christi, New Jersey, Homegrown Data Warehouse, Supporting the Art of Teaching, Technology-Assisted Progress Monitoring, Thousand Oaks, Corwin Press, Supporting Equity Inquiry, Grow Network, Models of Data-Based Decision Making, Texas Education Agency, The Role of Comparative Data, Mamaroneck Avenue School, Department of Education, American Educational Research Association, Wireless Generation, Implementing Comprehensive Solutions, Incorporating Video
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