Data-based Decision Making in Education
Mei Kuin Lai (Hrsg.), Kim Schildkamp (Hrsg.), Lorna Earl (Hrsg.)
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Beschreibung
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc.
This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.
Kundenbewertungen
accountability, assessment, school improvement, curriculum development, ORD, learning and instruction, University of Twente, policy, Woolf Fisher Research Centre, student achievement, professional development, teacher development, evaluation