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Titlebook: The Data Team? Procedure: A Systematic Approach to School Improvement; Kim Schildkamp,Adam Handelzalts,Mireille D. Hubers Textbook 2018 Sp

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書目名稱The Data Team? Procedure: A Systematic Approach to School Improvement
編輯Kim Schildkamp,Adam Handelzalts,Mireille D. Hubers
視頻videohttp://file.papertrans.cn/908/907161/907161.mp4
概述Presents one of the few interventions with regard to data use, proven to be effective.Describes an approach that can be used in a wide range of different contexts and countries.Provides the reader wit
叢書名稱Springer Texts in Education
圖書封面Titlebook: The Data Team? Procedure: A Systematic Approach to School Improvement;  Kim Schildkamp,Adam Handelzalts,Mireille D. Hubers Textbook 2018 Sp
描述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 condit
出版日期Textbook 2018
關(guān)鍵詞collect data on grade repetition; research in schools; quantitative school data; classroom observations
版次1
doihttps://doi.org/10.1007/978-3-319-58853-7
isbn_softcover978-3-319-58852-0
isbn_ebook978-3-319-58853-7Series ISSN 2366-7672 Series E-ISSN 2366-7680
issn_series 2366-7672
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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