Data-based Decision Making in Education
Data-based Decision Making in Education

Author: Kim Schildkamp

Publisher: Springer Science & Business Media

Published: 2012-09-18

Total Pages: 221

ISBN-13: 9400748159

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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
Data-Driven Decision Making

Author: Chris O'Neal

Publisher: International Society for Technology in Education

Published: 2012-02-21

Total Pages: 149

ISBN-13: 1564844609

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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
Handbook of Data-Based Decision Making in Education

Author: Theodore Kowalski

Publisher: Routledge

Published: 2010-04-15

Total Pages: 686

ISBN-13: 1135890838

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Education has fought long and hard to gain acceptance as a profession and, since professionals by definition use data to shape the decisions they make, education has little choice but to continue moving in this direction. This 3-part handbook represents a major contribution to the literature of education. It is a unique compendium of the most original work currently available on how, when and why evidence should be used to ground practice. It is a comprehensive, cross-disciplinary, research-based, and practice-based resource that all educators can turn to as a guide to data-based decision making. The Handbook of Data-Based Decision Making in Education is a must read for researchers who are just beginning to explore the scientifically based nature of educational practice. It is also appropriate for policy makers and practitioners who are confronted with young people who need to be in classrooms where "best practices" are the norm and not the exception.

Data-Driven Leadership
Data-Driven Leadership

Author: Amanda Datnow

Publisher: John Wiley & Sons

Published: 2014-03-10

Total Pages: 111

ISBN-13: 1118234081

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Tools and techniques from the trailblazers in data-based education reform Over a period of several years, Amanda Datnow and Vicki Park visited public schools with a reputation for being ahead of the pack in data-driven decision making. The results of this pioneering study reveal how education leaders can make data work for students and teachers, rather than against them. This book is an essential guide to meeting the challenges of high-stakes accountability, building performance-based schools, and improving student outcomes. By following the advice in this book, you’ll be able to transform data overload into a data-positive school culture. You’ll learn the difference between “data-driven leadership” and “data-informed leadership,” and how to use distributed leadership to inspire collaboration and guided analysis. Incorporating narrative reflections drawn from real educators and administrators, the authors refine their observations and interviews into practical conclusions that leaders can put to use immediately. This book empowers leaders to support inquiry, build trust in data-based initiatives, establish goals for evidence use, and provide educators with the skills they need to mobilize data for the good of all stakeholders. “Datnow and Park’s ideas are easily accessible and grounded in clear examples, and their seven ‘calls’ about what needs to be done nail the problem and the solutions. Use this book as your action guide and you’ll be rewarded with better results in student learning.” —Michael Fullan, professor emeritus, University of Toronto “Datnow and Park uncover, at last, what it means to use data to inform leadership. Documenting the four P’s (people, policies, practices, and patterns) in schools, we learn about the organization and dynamics of reform informed by data. A must read!” —Ann Lieberman, senior scholar, Stanford University

A Handbook on Multi-Attribute Decision-Making Methods
A Handbook on Multi-Attribute Decision-Making Methods

Author: Omid Bozorg-Haddad

Publisher: John Wiley & Sons

Published: 2021-04-06

Total Pages: 192

ISBN-13: 1119563496

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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
Handbook on Using Administrative Data for Research and Evidence-based Policy

Author: Shawn Cole

Publisher: Abdul Latif Jameel Poverty Action Lab

Published: 2021

Total Pages: 618

ISBN-13: 9781736021606

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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.

Using Web and Paper Questionnaires for Data-Based Decision Making
Using Web and Paper Questionnaires for Data-Based Decision Making

Author: Susan J. Thomas

Publisher: Corwin Press

Published: 2004-03-06

Total Pages: 217

ISBN-13: 0761938834

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Excerpt: ...tribe. He had faculties. He had also various idiosyncrasies. He was undeniably the best hunter and trapper and trainer of dogs to sledge, as well as the most expert upon snowshoes of all the Indians living upon the point, and he was, furthermore, one of the dirtiest of them and the biggest drunkard whenever opportunity afforded. Fortunately for him and for his squaw, Bigbeam, as she had been facetiously named by an agent of the company, the opportunities for getting drunk were rare, for the company is conservative in the distribution of that which makes bad hunters. Given an abundance of firewater and tobacco, Red Dog was the happiest Indian between the northern boundary of the United States and Lake Gary; deprived of them both he hunted vigorously, thinking all the while of the coming hour when, after a long journey and much travail, he should be in what was his idea of heaven again. To-day, though, the rifle bought from the company stood idle beside the ridge-pole, the sledge dogs snarled and fought upon the snow outside, and Bigbeam, squat and broad as became her name, looked askance at her lord as she prepared the moose meat, uncertain of his temper, for his face was cloudy. Red Dog was, in fact, perplexed, and was planning deeply. Good reason was there for Red Dog's thought. Events of the immediate future were of moment to him and all his fellows, among whom, though no chief was formally acknowledged, he was recognized as leader; for had he not at one time been with the company as a hired hunter? Had he not once gone with a fur-carrying party even to Hudson's Bay, and thence to the far south and even to Quebec? And did he not know the ways of the company, and could not he talk a French patois which enabled him to be understood at the stations? Now, as fitting representative of himself and of his clan, a great responsibility had come upon him, and he was lost in as anxious thought as could come to a biped of his quality. Like a more or less...

The Decision Maker's Handbook to Data Science
The Decision Maker's Handbook to Data Science

Author: Stylianos Kampakis

Publisher: Apress

Published: 2019-11-26

Total Pages: 154

ISBN-13: 1484254945

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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.

Driven by Data
Driven by Data

Author: Paul Bambrick-Santoyo

Publisher: John Wiley & Sons

Published: 2010-04-12

Total Pages: 336

ISBN-13: 0470548746

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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.