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Data-based Decision Making in Education

Overview of attention for book
Cover of 'Data-based Decision Making in Education'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Data-based Decision Making: An Overview
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    Chapter 3 Analysis and Discussion of Classroom and Achievement Data to Raise Student Achievement
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    Chapter 4 From “Intuition”- to “Data”-based Decision Making in Dutch Secondary Schools?
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    Chapter 5 Professional Attitudes to the Use of Data in England
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    Chapter 6 Approaches to Effective Data Use: Does One Size Fit All?
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    Chapter 7 Improving Data Literacy in Schools: Lessons from the School Feedback Project
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    Chapter 8 Implementation of a Data Initiative in the NCLB Era
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    Chapter 9 Towards Data-Informed Decisions: From Ministry Policy to School Practice
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    Chapter 10 Conclusions and a Data Use Framework
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    Chapter 11 Data Use: Where to from Here?
Overall attention for this book and its chapters
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Mentioned by

policy
1 policy source
twitter
11 X users
facebook
1 Facebook page

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
146 Mendeley
citeulike
1 CiteULike
Summary Policy documents X Facebook Dimensions citations
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Title
Data-based Decision Making in Education
Published by
Springer Netherlands, January 2013
DOI 10.1007/978-94-007-4816-3
ISBNs
978-9-40-074815-6, 978-9-40-074816-3, 978-9-40-178506-8
Editors

Kim Schildkamp, Mei Kuin Lai, Lorna Earl

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 14%
Student > Ph. D. Student 17 12%
Lecturer 14 10%
Student > Doctoral Student 14 10%
Researcher 12 8%
Other 24 16%
Unknown 45 31%
Readers by discipline Count As %
Social Sciences 52 36%
Arts and Humanities 9 6%
Computer Science 8 5%
Business, Management and Accounting 4 3%
Nursing and Health Professions 3 2%
Other 21 14%
Unknown 49 34%

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