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Books > Social sciences > Education > Schools
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Using Data in Schools to Inform Leadership and Decision Making (Hardcover)
Loot Price: R2,698
Discovery Miles 26 980
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Using Data in Schools to Inform Leadership and Decision Making (Hardcover)
Series: International Research on School Leadership
Expected to ship within 10 - 15 working days
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Our fifth book in the International Research on School Leadership
series focuses on the use of data in schools and districts as
useful information for leadership and decision making. Schools are
awash in data and information, from test scores, to grades, to
discipline reports, and attendance as just a short list of student
information sources, while additional streams of data feed into
schools and districts from teachers and parents as well as local,
regional and national policy levels. To deal with the data, schools
have implemented a variety of data practices, from data rooms, to
data days, data walks, and data protocols. However, despite the
flood of data, successful school leaders are leveraging an analysis
of their school's data as a means to bring about continuous
improvement in an effort to improve instruction for all students.
Nevertheless, some drown, some swim, while others find success. Our
goal in this book volume is to bring together a set of chapters by
authors who examine successful data use as it relates to leadership
and school improvement. In particular, the chapters in this volume
consider important issues in this domain, including: How
educational leaders use data to inform their practice. What types
of data and data analysis are most useful to successful school
leaders. To what extent are data driven and data informed practices
helping school leaders positively change instructional practice? In
what ways does good data collection and analysis feed into
successful continuous improvement and holistic systems thinking?
How have school leadership practices changed as more data and data
analysis techniques have become available? What are the major
obstacles facing school leaders when using data for decision making
and how do they overcome them?
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