Data-Driven School Improvement: Linking Data and Learning (Technology, Education—Connections Series)
Data-Driven School Improvement: Linking Data and Learning (Technology, Education—Connections Series)

How to Read Data-Driven School Improvement: Linking Data and Learning (Technology, Education—Connections Series) PDF

The first comprehensive examination of the field, 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. Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry P. King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz M. Rivas, Mark S. Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young.“If you want to understand usable knowledge, read Data-Driven School Improvement.”—Ellen Condliffe Lagemann, Harvard University“It is reassuring to know that at least some of the data being generated in our data-driven age are being used to make wiser decisions. We can all learn from these illustrative accounts.”—David C. Berliner, Mary Lou Fulton College of Education, Arizona State University“Replete with examples from real schools and districts, this volume provides a multi-layered portrait of what it takes to establish a culture of data use. Readers will come away with an appreciation of the systemic changes needed to reap the full potential of data-driven decision making.”—Barbara Means, Center for Technology in Learning, SRI International

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  • Released:
  • Author: Ellen B. Mandinach
  • Rating: 4,4
  • Publisher: Ebook DIgital Agency
  • Total Page: 251 pages
  • File Size: 2551 Kb
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