Author: Kim Schildkamp
Publisher: Springer Science & Business Media
ISBN: 9400748159
Category : Education
Languages : en
Pages : 221
Book Description
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.
Data-based Decision Making in Education
Author: Kim Schildkamp
Publisher: Springer Science & Business Media
ISBN: 9400748159
Category : Education
Languages : en
Pages : 221
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 9400748159
Category : Education
Languages : en
Pages : 221
Book Description
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.
Data-Driven Decision Making
Author: Chris O'Neal
Publisher: International Society for Technology in Education
ISBN: 1564844609
Category : Education
Languages : en
Pages : 149
Book Description
This workbook will serve as your guide to incorporating the data-driven decision making process into your organization’s culture and behavior. O’Neal leads you through setting up teams; warehousing, accessing, and examining data; and finally reflecting on your process. Understand what’s happening in your school environment and how you can make better decisions that will keep you on a path to success.
Publisher: International Society for Technology in Education
ISBN: 1564844609
Category : Education
Languages : en
Pages : 149
Book Description
This workbook will serve as your guide to incorporating the data-driven decision making process into your organization’s culture and behavior. O’Neal leads you through setting up teams; warehousing, accessing, and examining data; and finally reflecting on your process. Understand what’s happening in your school environment and how you can make better decisions that will keep you on a path to success.
Handbook of Data-Based Decision Making in Education
Author: Theodore Kowalski
Publisher: Routledge
ISBN: 1135890846
Category : Education
Languages : en
Pages : 511
Book Description
Pt. 1. Theoretical and practical perspectives -- pt. 2. Building support for data-based decisions -- pt. 3. Data-based applications.
Publisher: Routledge
ISBN: 1135890846
Category : Education
Languages : en
Pages : 511
Book Description
Pt. 1. Theoretical and practical perspectives -- pt. 2. Building support for data-based decisions -- pt. 3. Data-based applications.
A Handbook on Multi-Attribute Decision-Making Methods
Author: Omid Bozorg-Haddad
Publisher: John Wiley & Sons
ISBN: 1119563496
Category : Business & Economics
Languages : en
Pages : 192
Book Description
Clear and effective instruction on MADM methods for students, researchers, and practitioners. A Handbook on Multi-Attribute Decision-Making Methods describes multi-attribute decision-making (MADM) methods and provides step-by-step guidelines for applying them. The authors describe the most important MADM methods and provide an assessment of their performance in solving problems across disciplines. After offering an overview of decision-making and its fundamental concepts, this book covers 20 leading MADM methods and contains an appendix on weight assignment methods. Chapters are arranged with optimal learning in mind, so you can easily engage with the content found in each chapter. Dedicated readers may go through the entire book to gain a deep understanding of MADM methods and their theoretical foundation, and others may choose to review only specific chapters. Each standalone chapter contains a brief description of prerequisite materials, methods, and mathematical concepts needed to cover its content, so you will not face any difficulty understanding single chapters. Each chapter: Describes, step-by-step, a specific MADM method, or in some cases a family of methods Contains a thorough literature review for each MADM method, supported with numerous examples of the method's implementation in various fields Provides a detailed yet concise description of each method's theoretical foundation Maps each method's philosophical basis to its corresponding mathematical framework Demonstrates how to implement each MADM method to real-world problems in a variety of disciplines In MADM methods, stakeholders' objectives are expressible through a set of often conflicting criteria, making this family of decision-making approaches relevant to a wide range of situations. A Handbook on Multi-Attribute Decision-Making Methods compiles and explains the most important methodologies in a clear and systematic manner, perfect for students and professionals whose work involves operations research and decision making.
Publisher: John Wiley & Sons
ISBN: 1119563496
Category : Business & Economics
Languages : en
Pages : 192
Book Description
Clear and effective instruction on MADM methods for students, researchers, and practitioners. A Handbook on Multi-Attribute Decision-Making Methods describes multi-attribute decision-making (MADM) methods and provides step-by-step guidelines for applying them. The authors describe the most important MADM methods and provide an assessment of their performance in solving problems across disciplines. After offering an overview of decision-making and its fundamental concepts, this book covers 20 leading MADM methods and contains an appendix on weight assignment methods. Chapters are arranged with optimal learning in mind, so you can easily engage with the content found in each chapter. Dedicated readers may go through the entire book to gain a deep understanding of MADM methods and their theoretical foundation, and others may choose to review only specific chapters. Each standalone chapter contains a brief description of prerequisite materials, methods, and mathematical concepts needed to cover its content, so you will not face any difficulty understanding single chapters. Each chapter: Describes, step-by-step, a specific MADM method, or in some cases a family of methods Contains a thorough literature review for each MADM method, supported with numerous examples of the method's implementation in various fields Provides a detailed yet concise description of each method's theoretical foundation Maps each method's philosophical basis to its corresponding mathematical framework Demonstrates how to implement each MADM method to real-world problems in a variety of disciplines In MADM methods, stakeholders' objectives are expressible through a set of often conflicting criteria, making this family of decision-making approaches relevant to a wide range of situations. A Handbook on Multi-Attribute Decision-Making Methods compiles and explains the most important methodologies in a clear and systematic manner, perfect for students and professionals whose work involves operations research and decision making.
Handbook on Using Administrative Data for Research and Evidence-based Policy
Author: Shawn Cole
Publisher: Abdul Latif Jameel Poverty Action Lab
ISBN: 9781736021606
Category :
Languages : en
Pages : 618
Book Description
This Handbook intends to inform Data Providers and researchers on how to provide privacy-protected access to, handle, and analyze administrative data, and to link them with existing resources, such as a database of data use agreements (DUA) and templates. Available publicly, the Handbook will provide guidance on data access requirements and procedures, data privacy, data security, property rights, regulations for public data use, data architecture, data use and storage, cost structure and recovery, ethics and privacy-protection, making data accessible for research, and dissemination for restricted access use. The knowledge base will serve as a resource for all researchers looking to work with administrative data and for Data Providers looking to make such data available.
Publisher: Abdul Latif Jameel Poverty Action Lab
ISBN: 9781736021606
Category :
Languages : en
Pages : 618
Book Description
This Handbook intends to inform Data Providers and researchers on how to provide privacy-protected access to, handle, and analyze administrative data, and to link them with existing resources, such as a database of data use agreements (DUA) and templates. Available publicly, the Handbook will provide guidance on data access requirements and procedures, data privacy, data security, property rights, regulations for public data use, data architecture, data use and storage, cost structure and recovery, ethics and privacy-protection, making data accessible for research, and dissemination for restricted access use. The knowledge base will serve as a resource for all researchers looking to work with administrative data and for Data Providers looking to make such data available.
Handbook of Educational Data Mining
Author: Cristobal Romero
Publisher: CRC Press
ISBN: 1439804583
Category : Business & Economics
Languages : en
Pages : 528
Book Description
This handbook provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems that EDM has addressed. With contributions by well-known researchers from a variety of fields, the book reflects the multidisciplinary nature of the EDM community. It helps education experts understand what types of questions EDM can address and helps data miners understand what types of questions are important to educational design and educational decision making.
Publisher: CRC Press
ISBN: 1439804583
Category : Business & Economics
Languages : en
Pages : 528
Book Description
This handbook provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems that EDM has addressed. With contributions by well-known researchers from a variety of fields, the book reflects the multidisciplinary nature of the EDM community. It helps education experts understand what types of questions EDM can address and helps data miners understand what types of questions are important to educational design and educational decision making.
Driven by Data
Author: Paul Bambrick-Santoyo
Publisher: John Wiley & Sons
ISBN: 0470548746
Category : Education
Languages : en
Pages : 336
Book Description
Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
Publisher: John Wiley & Sons
ISBN: 0470548746
Category : Education
Languages : en
Pages : 336
Book Description
Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
The Decision Maker's Handbook to Data Science
Author: Stylianos Kampakis
Publisher: Apress
ISBN: 1484254945
Category : Computers
Languages : en
Pages : 154
Book Description
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts, communications strategists, designers, and more. With the second edition of The Decision Maker’s Handbook to Data Science, you will learn how to think like a veteran data scientist and approach solutions to business problems in an entirely new way. Author Stylianos Kampakis provides you with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated and revised second edition, includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker’s Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide. What You Will Learn Understand how data science can be used within your business. Recognize the differences between AI, machine learning, and statistics.Become skilled at thinking like a data scientist, without being one.Discover how to hire and manage data scientists.Comprehend how to build the right environment in order to make your organization data-driven. Who This Book Is For Startup founders, product managers, higher level managers, and any other non-technical decision makers who are thinking to implement data science in their organization and hire data scientists. A secondary audience includes people looking for a soft introduction into the subject of data science.
Publisher: Apress
ISBN: 1484254945
Category : Computers
Languages : en
Pages : 154
Book Description
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts, communications strategists, designers, and more. With the second edition of The Decision Maker’s Handbook to Data Science, you will learn how to think like a veteran data scientist and approach solutions to business problems in an entirely new way. Author Stylianos Kampakis provides you with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated and revised second edition, includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker’s Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide. What You Will Learn Understand how data science can be used within your business. Recognize the differences between AI, machine learning, and statistics.Become skilled at thinking like a data scientist, without being one.Discover how to hire and manage data scientists.Comprehend how to build the right environment in order to make your organization data-driven. Who This Book Is For Startup founders, product managers, higher level managers, and any other non-technical decision makers who are thinking to implement data science in their organization and hire data scientists. A secondary audience includes people looking for a soft introduction into the subject of data science.
Education Hell
Author: Gerald Watkins Bracey
Publisher: Editorial Projects in Education
ISBN:
Category : Education
Languages : en
Pages : 296
Book Description
Are America's schools broken? Education Hell: Rhetoric vs. Reality seeks to address misconceptions about America's schools by taking on the credo 'what can be measured matters.' To the contrary, Dr. Bracey makes a persuasive case that much of what matters cannot be assessed on a multiple choice test. The challenge for educators is to deal effectively with an incomplete accountability system-while creating a broader understanding of successful schools and teachers. School leaders must work to define, maintain, and increase essential skills that may not be measured in today's accountability plans.
Publisher: Editorial Projects in Education
ISBN:
Category : Education
Languages : en
Pages : 296
Book Description
Are America's schools broken? Education Hell: Rhetoric vs. Reality seeks to address misconceptions about America's schools by taking on the credo 'what can be measured matters.' To the contrary, Dr. Bracey makes a persuasive case that much of what matters cannot be assessed on a multiple choice test. The challenge for educators is to deal effectively with an incomplete accountability system-while creating a broader understanding of successful schools and teachers. School leaders must work to define, maintain, and increase essential skills that may not be measured in today's accountability plans.
Handbook of Research in Education Finance and Policy
Author: Helen F. Ladd
Publisher: Routledge
ISBN: 1135863881
Category : Education
Languages : en
Pages : 786
Book Description
Sponsored by the Association for Education Finance and Policy (AEFP), this groundbreaking new handbook assembles in one place the existing research-based knowledge in education finance and policy, thereby helping to define this evolving field of research and practice. It provides a readily available resource for anyone seriously involved in education finance and policy in the United States and around the world. The Handbook traces the evolution of the field from its initial focus on school inputs and the revenue sources used to finance these inputs to a focus on educational outcomes and the larger policies used to achieve them. It shows how the current decision-making context in school finance inevitably interacts with those of governance, accountability, equity, privatization, and other areas of education policy. Because a full understanding of the important contemporary issues requires input from a variety of perspectives, the Handbook draws on contributors from a variety of disciplines. While many of the chapters cover complex state-of-the-art empirical research, the authors explain key concepts in language that non-specialists can understand.
Publisher: Routledge
ISBN: 1135863881
Category : Education
Languages : en
Pages : 786
Book Description
Sponsored by the Association for Education Finance and Policy (AEFP), this groundbreaking new handbook assembles in one place the existing research-based knowledge in education finance and policy, thereby helping to define this evolving field of research and practice. It provides a readily available resource for anyone seriously involved in education finance and policy in the United States and around the world. The Handbook traces the evolution of the field from its initial focus on school inputs and the revenue sources used to finance these inputs to a focus on educational outcomes and the larger policies used to achieve them. It shows how the current decision-making context in school finance inevitably interacts with those of governance, accountability, equity, privatization, and other areas of education policy. Because a full understanding of the important contemporary issues requires input from a variety of perspectives, the Handbook draws on contributors from a variety of disciplines. While many of the chapters cover complex state-of-the-art empirical research, the authors explain key concepts in language that non-specialists can understand.