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Author: LaCole Foots
Publisher:
ISBN:
Category :
Languages : en
Pages : 139
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Book Description
Six data analysts with expertise in public education agencies across the country have teamed up to write a new volume for the Education Data Done Right (EDDR) series. Following the success of the first volume in this series, which covered missing elements critical to success in building data capacity in education agencies, this new volume showcases applied data science strategies and lessons learned in agencies across the country. New chapters explain how to document work to ensure continuity of operations, navigate data governance, and ensure transparency and reproducibility of agencies' important work; how early warning systems can be useful in agencies' work; and why self-awareness of how identities shape the work is one of the most important skills data analysts must have. Written by Dorothyjean Cratty, LaCole Foots, Wendy Geller, Jared Knowles, Justin Meyer, and Ellis Ott, this new volume covers education data science strategies and lessons with a perspective only possible from authors who've been in the trenches and gotten the work done. The series is intended for education agency data analysts, and data managers, strategists, and leaders seeking to improve how their agency operates. Many education agency data analysts come from a social science research background and the transition to work inside agencies can come with a lot of new challenges. This series is a guide through those challenges.
Author: LaCole Foots
Publisher:
ISBN:
Category :
Languages : en
Pages : 139
Get Book
Book Description
Six data analysts with expertise in public education agencies across the country have teamed up to write a new volume for the Education Data Done Right (EDDR) series. Following the success of the first volume in this series, which covered missing elements critical to success in building data capacity in education agencies, this new volume showcases applied data science strategies and lessons learned in agencies across the country. New chapters explain how to document work to ensure continuity of operations, navigate data governance, and ensure transparency and reproducibility of agencies' important work; how early warning systems can be useful in agencies' work; and why self-awareness of how identities shape the work is one of the most important skills data analysts must have. Written by Dorothyjean Cratty, LaCole Foots, Wendy Geller, Jared Knowles, Justin Meyer, and Ellis Ott, this new volume covers education data science strategies and lessons with a perspective only possible from authors who've been in the trenches and gotten the work done. The series is intended for education agency data analysts, and data managers, strategists, and leaders seeking to improve how their agency operates. Many education agency data analysts come from a social science research background and the transition to work inside agencies can come with a lot of new challenges. This series is a guide through those challenges.
Author: Dorothyjean Cratty
Publisher:
ISBN: 9781698152318
Category :
Languages : en
Pages : 178
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Book Description
Lots of pundits and researchers have ideas about how education data work should be done and who should do it. Many of their ideas are disseminated widely. This book covers the things those books do not: metadata, working with enterprise IT, data requests, politics, and why descriptive statistics can take you far.
Author: Ryan A. Estrellado
Publisher: Routledge
ISBN: 1000200906
Category : Education
Languages : en
Pages : 315
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Book Description
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Author: Kim Schildkamp
Publisher: Springer Science & Business Media
ISBN: 9400748159
Category : Education
Languages : en
Pages : 221
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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.
Author: Paul Bambrick-Santoyo
Publisher: John Wiley & Sons
ISBN: 0470548746
Category : Education
Languages : en
Pages : 298
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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.
Author: Paul Connolly
Publisher: Routledge
ISBN: 1134191847
Category : Education
Languages : en
Pages : 283
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Book Description
An accessible and user-friendly guide to quantitative data analysis in educational research, aimed at those with little or no prior knowledge of statistical methods.
Author:
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 554
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Book Description
An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.
Author: Natalia P. Tarasova
Publisher: EOLSS Publications
ISBN: 1905839081
Category :
Languages : en
Pages : 434
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Book Description
Quality of Human Resources: Education is a component of Encyclopedia of Human Resources Policy, Development and Management which is part of the global Encyclopedia of Life Support Systems (EOLSS), an integrated compendium of twenty one Encyclopedias. The Theme is organized into five different topics which represent the main scientific areas of the theme: Foundations of Educational Systems; Knowledge for Education; Structural Foundations of Educational Systems; Educational Systems: Case Studies and Educational Indices; Education for Sustainable Development. Each of these consists of a topic chapter emphasizing the general aspects and various subject articles explaining the back ground, theory and practice of a specific type of education which is a very important factor in human development and awareness for achieving global sustainable development. These three volumes are aimed at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.
Author: Amanda Datnow
Publisher: John Wiley & Sons
ISBN: 1118234081
Category : Education
Languages : en
Pages : 160
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Book Description
Tools and techniques from the trailblazers in data-basededucation reform Over a period of several years, Amanda Datnow and Vicki Parkvisited public schools with a reputation for being ahead of thepack in data-driven decision making. The results of this pioneeringstudy reveal how education leaders can make data work for studentsand teachers, rather than against them. This book is an essential guide to meeting the challenges ofhigh-stakes accountability, building performance-based schools, andimproving student outcomes. By following the advice in this book,you’ll be able to transform data overload into adata-positive school culture. You’ll learn the differencebetween “data-driven leadership” and“data-informed leadership,” and how to use distributedleadership to inspire collaboration and guided analysis. Incorporating narrative reflections drawn from real educatorsand administrators, the authors refine their observations andinterviews into practical conclusions that leaders can put to useimmediately. This book empowers leaders to support inquiry, buildtrust in data-based initiatives, establish goals for evidence use,and provide educators with the skills they need to mobilize datafor the good of all stakeholders. “Datnow and Park’s ideas are easily accessible andgrounded in clear examples, and their seven ‘calls’about what needs to be done nail the problem and the solutions. Usethis book as your action guide and you’ll be rewarded withbetter results in student learning.” —Michael Fullan, professor emeritus,University of Toronto “Datnow and Park uncover, at last, what it means to usedata to inform leadership. Documenting the four P’s (people,policies, practices, and patterns) in schools, we learn about theorganization and dynamics of reform informed by data. A mustread!” —Ann Lieberman, senior scholar,Stanford University
Author: Ryan A. Estrellado
Publisher: Taylor & Francis
ISBN: 1000552934
Category : Education
Languages : en
Pages : 195
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Book Description
The K-12 Educator’s Data Guidebook is a comprehensive field guide for school professionals learning to use data. “Non-data people,” rejoice! Requiring no prior proficiency in data tools and programming, this book validates the implicit challenges of learning to use data to empower educators and features original real-world examples from in-service educators to illustrate common problem-solving. Each chapter uses stories, humor, and a human approach to set the tone for a safe and fun learning experience. Through this highly practical foundation, everyday educators can better engage school initiatives, professional development, and instructional challenges that require competent data use for improving school systems.
