ISBN:
9789400748163
,
1283634147
,
9781283634144
Language:
English
Pages:
Online-Ressource (XIV, 216 p. 15 illus, digital)
Series Statement:
Studies in Educational Leadership 17
Series Statement:
SpringerLink
Series Statement:
Bücher
Parallel Title:
Buchausg. u.d.T. Data-based decision making in education
Keywords:
Educational tests and measurements
;
Education
;
Education
;
Educational tests and measurements
;
Education
;
Decision making
;
Data mining
;
Erziehung
;
Entscheidung
;
Data Mining
;
Erziehung
;
Entscheidung
;
Data Mining
Abstract:
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students assessments, classroom observations etc.This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are best practice studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.
Description / Table of Contents:
Contents; About the Authors; About the Editors; Chapter 1 Introduction; 1.1 Introduction; 1.2 How Will This Book Help You?; 1.3 Organization of Chapters; References; Chapter 2 Data-based Decision Making: An Overview; 2.1 Introduction; 2.2 Broadening Our Understanding of Data; 2.3 Why Data?; 2.3.1 The Nature of Effective Teaching and School Leadership; 2.3.2 Evidence of Improvements in Student Learning and Achievement; 2.4 The Process of Using Data; 2.5 How Data Can be Used; 2.6 Reflection Questions; References
Description / Table of Contents:
Chapter 3 Analysis and Discussion of Classroom andAchievement Data to Raise Student Achievement3.1 Introduction: Context Description; 3.2 Why Decision-Making Using Data Requires Linking Achievement Patterns to Classroom Practices; 3.3 The Overall Intervention Model in Three Clusters; 3.4 Gains in Achievement; 3.5 Analysis and Discussion of Data; 3.5.1 General Process of Analysing and Discussing Achievement Data; 3.5.2 General Process of Analysing and Discussing Observation Data; 3.5.3 Linking Student Achievement to Classroom Observations; 3.6 Enablers and Discussion
Description / Table of Contents:
3.7 Conclusions and Next Steps3.8 Reflection Questions; References; Chapter 4 From ``Intuition''- to ``Data''-based Decision Making in Dutch Secondary Schools?; 4.1 Introduction: Context Description; 4.2 Two Stories of Data-based Decision Making; 4.2.1 Data-based Decision Making in the Real World:School Level; 4.2.2 Data-based Decision Making in the Real World:Classroom Level; 4.2.3 Data-based Decision Making in a Perfect World:School Level; 4.2.4 Data-based Decision Making in a Perfect World:Classroom Level; 4.3 Supporting and Hindering Factors; 4.4 Possible Effects and Side Effects
Description / Table of Contents:
4.5 Conclusion and Discussion4.6 Reflection Questions; References; Chapter 5 Professional Attitudes to the Use of Data in England; 5.1 Introduction and Background; 5.2 Research Questions and Research Base; 5.3 Selecting and Recruiting the Participating Schools; 5.4 Collection of Data; 5.5 Discussion of Findings; 5.5.1 Use of Pupil Attainment and Progress Data; 5.5.2 Teachers' Understanding of Pupil Attainment and Progress Data and Confidence in Their Skills to Access, Utilise and Interpret Data; 5.5.3 The Impact of Training and Continuing Professional Development
Description / Table of Contents:
5.5.4 Management, Analysis and Interpretation of Pupil Attainment and Progress Data: Who Does Whatand Who Should Do What in Schools?5.5.5 The Rationale for Collecting Pupil Attainment and Progress Data: What Teachers Perceive It To Be and What They Consider It Should Be; 5.6 Summary and Conclusion; 5.7 Reflection Questions; References; Chapter 6 Approaches to Effective Data Use: Does One Size Fit All?; 6.1 Introduction: Context; 6.2 Data Dissemination and Data Use: How the One Influences the Other; 6.3 Research Design and Methodology; 6.3.1 The Feedback System; 6.3.2 Sample
Description / Table of Contents:
6.3.3 Instruments and Data Collection
Note:
Description based upon print version of record
DOI:
10.1007/978-94-007-4816-3
URL:
Volltext
(lizenzpflichtig)
Permalink
