| 书目名称 | The Data Team™ Procedure: A Systematic Approach to School Improvement |
| 编辑 | Kim Schildkamp,Adam Handelzalts,Mireille D. Hubers |
| 视频video | |
| 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 |
| 丛书名称 | Springer Texts in Education |
| 图书封面 |  |
| 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 |
| 关键词 | collect data on grade repetition; research in schools; quantitative school data; classroom observations |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-58853-7 |
| isbn_softcover | 978-3-319-58852-0 |
| isbn_ebook | 978-3-319-58853-7Series ISSN 2366-7672 Series E-ISSN 2366-7680 |
| issn_series | 2366-7672 |
| copyright | Springer International Publishing AG 2018 |
发表于 2025-3-21 17:55:44
