The Data Team Procedure: A Systematic Approach to School Improvement 2017 (Paperback, 2018 ed.)

This book describes the Data Team Procedure: a method for data-based decision making that can help schools to improve their quality. It involves the use of teams consisting of 4-6 teachers, 1-2 school leaders and a data expert. The members of the team collaboratively learn how to use data to solve an educational problem within the school, adopting a systematic approach. The data team procedure is an iterative and cyclic procedure consisting of eight steps. The data team members are trained in the data team procedure by a coach. The coach visits the data team's school regularly for a meeting and facilitates working according to the systematic procedure. Teams participate in data analysis workshops for more specific support. Divided into three parts, the book first describes the importance of data use and the data team procedure. Next, it describes two cases. The first case concerns a data team working on a school level problem: Reducing grade repetition. The second case concerns a data team working on a classroom level problem: low student achievement in English language. The last part of the book explains what it means to implement the data team procedure in the school, the conditions needed for implementing the data team procedure, and the factors that may hinder or support the use of data in data teams.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Texts in Education
Release date:	August 2017
First published:	2017
Authors:	Kim Schildkamp • Maaike Smit
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	63
Edition:	2018 ed.
ISBN-13:	978-3-319-58852-0
Subtitles:	Dutch
Categories:	Books > Social sciences > Education > Teaching skills & techniques Books > Social sciences > Education > Organization & management of education > Examinations & assessment Books > Social sciences > Education > Higher & further education > Teacher training
LSN:	3-319-58852-4
Barcode:	9783319588520

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