Limit search to available items
Book Cover
E-book
Author Schildkamp, Kim, author

Title The Data Team™ procedure : a systematic approach to school improvement / Kim Schildkamp, Adam Handelzalts, Cindy L. Poortman, Hanadie Leusink, Marije Meerdink, Maaike Smit, Johanna Ebbeler, Mireille D. Hubers
Published Cham : Springer International Publishing : Imprint : Springer, 2018

Copies

Description 1 online resource (XXII, 84 pages) : 8 illustrations
Series Springer Texts in Education, 2366-7672
Springer texts in education, 2366-7672
Contents Preface: Data teams can make a difference; Lorna Earl & Helen Timperley -- Introduction: Data use with the data team™ procedure -- Part 1: The eight steps of the data team™ procedure -- 1. Step 1: Defining the problem -- 2. Step 2: Drawing up hypotheses -- 3. Step 3: Collecting data -- 4. Step 4: Verifying the quality of collected data -- 5. Step 5: Data analysis -- 6. Step 6: Interpretation and conclusion -- 7. Step 7: Taking measures -- 8. Step 8: Evaluation -- Part 2: Two examples of the data team™ procedure: Graduation rates and English language results -- 9. Case study: High school graduation rates -- 10. Case study: English language results -- Part 3: Integration into the organization -- 11. Introducing the data team™ procedure in schools -- 12. The road to sustainability -- Acknowledgements -- References
Summary 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
Bibliography Includes bibliographical references
In Springer eBooks
Subject School management and organization -- Research
Education.
Teacher training.
Examinations & assessment.
Teaching skills & techniques.
Organization & management of education.
Education -- Professional Development.
Education -- Evaluation.
Education -- Educational Psychology.
Education -- Administration -- General.
School management and organization -- Research
Education
School management and organization
Teaching
Form Electronic book
Author Handelzalts, Adam, author
Poortman, Cindy L., author
Leusink, Hanadie, author
Meerdink, Marije, author
Smit, Maaike, author
Ebbeler, Johanna, author
Hubers, Mireille D., author
ISBN 9783319588537
3319588532
3319588524
9783319588520