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Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 764
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Author: Jenny Grant Rankin
Publisher: Routledge
ISBN: 1317353382
Category : Education
Languages : en
Pages : 163
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Book Description
Educators are increasingly responsible for using data to improve teaching and learning in their schools. This helpful guide provides leaders with simple steps for facilitating accurate analysis and interpretation of data, while avoiding common errors and pitfalls. How to Make Data Work provides clear strategies for getting data into workable shape and creating an environment that supports understanding, analysis, and successful use of data, no matter what data system or educational technology tools are in place in your district. This accessible resource makes data easy to understand and use so that educators can better evaluate and maximize their systems to help their staff, students, and school succeed. With this tried-and-true guidance, you’ll be prepared to advocate for tools that adhere to data reporting standards, avoid misinterpretation of data, and improve the data use climate in your school.
Author: Alejandro Peña-Ayala
Publisher: Springer
ISBN: 3319027387
Category : Technology & Engineering
Languages : en
Pages : 477
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Book Description
This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows: · Profile: The first part embraces three chapters oriented to: 1) describe the nature of educational data mining (EDM); 2) describe how to pre-process raw data to facilitate data mining (DM); 3) explain how EDM supports government policies to enhance education. · Student modeling: The second part contains five chapters concerned with: 4) explore the factors having an impact on the student's academic success; 5) detect student's personality and behaviors in an educational game; 6) predict students performance to adjust content and strategies; 7) identify students who will most benefit from tutor support; 8) hypothesize the student answer correctness based on eye metrics and mouse click. · Assessment: The third part has four chapters related to: 9) analyze the coherence of student research proposals; 10) automatically generate tests based on competences; 11) recognize students activities and visualize these activities for being presented to teachers; 12) find the most dependent test items in students response data. · Trends: The fourth part encompasses four chapters about how to: 13) mine text for assessing students productions and supporting teachers; 14) scan student comments by statistical and text mining techniques; 15) sketch a social network analysis (SNA) to discover student behavior profiles and depict models about their collaboration; 16) evaluate the structure of interactions between the students in social networks. This volume will be a source of interest to researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and find targets for future work in the field of educational data mining.
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:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 764
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Book Description
Author: Shane Safir
Publisher: Corwin
ISBN: 1071812661
Category : Education
Languages : en
Pages : 281
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Book Description
Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.
Author:
Publisher:
ISBN:
Category : Education, Elementary
Languages : en
Pages : 222
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Book Description
Since the creation of the National Cooperative Educational Statistics System in 1988, states have joined with the National Center for Education Statistics to produce and maintain comparable and uniform education statistics. Through the National Forum on Education Statistics, states have met to develop and propose a set of basic data elements for voluntary use. Using these data elements will provide more comparable and reliable education information for any educational system adopting the common terminology. The basic data elements will not meet every education information purpose, but a set of basic data elements should help answer the most frequently asked questions about the administration, status, quality, operation, and performance of schools and school systems. This report presents a process for selecting and including new data elements in an information system and the student and staff elements that can be used to create information for conducting the day-to-day administration of schools and school districts; completing federal and state reports, and creating indicators that address questions about the success and functioning of education systems. The basic data elements selected for student information systems are grouped into categories of: (1) personal information; (2) enrollment; (3) school participation and activities; (4) assessment; (5) transportation; (6) health conditions, special program participation, and student support services; and (7) discipline. Similar elements defined for staff information systems include personal information, educational background, qualification information, current employment, assignments, and information on career development and separation from employment. An appendix contains discussions of policy questions, indicators, and basic data elements. (SLD)
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 572
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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: Jock Lul Pan Chuol
Publisher: Xlibris Corporation
ISBN: 1450086756
Category : Political Science
Languages : en
Pages : 617
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Book Description
This Book is overview of Outer executive Departments and 64 Independent Federal Agencies; the Outer Executive Departments are--United States Department of Interior, Labor, Agriculture, Commerce, Energy, Housing and Urban Development, Health and Human Services, Transportation, Education, and Veterans Affairs. In the 64 Federal Independent Agencies, some are larger than many Departments; for instance, United States Postal Services employs 656, 000; ranks third next to Wal-Mart and Department of Defense that employs 700,000 civilians. Accordingly, it had been my journey to know the governmental agencies; for me, the local and states basic social service administration never been satisfactory if I dont know inside the United States Department of Health and Human Services category of its agencies. Because of that, it influences my learning and leads me made further research on governmental agencies. In these ten Outer Executive Department and 64 Independent Agencies--which I put together as a Policy of Federal Independent Agencies and Federal Outer Executive Departments, paved my way to supplementary learning on Public Services and would leads me makes further researches on States, local and Cities governments agencies. This Book can be used by Graduates and Post Graduates students as special topic on Federal Agencies/be second Book in different classes, or be main text in certain levels, and it also can be Handbook for Public Administrators, United States Congress who creates and defines the Agencies Policy and Mission, from 2nd to 111th Congresses, and to the Heads of these Agencies, and states Administrators, Directors, Public Managers and any interested individual who want to learn more on Governmental Agencies. The Heads and Staff of these Departments and Agencies may know more mainly on ones or more Agencies than the Policy on this Book, but they can easily Master other Departments and Agencies like their owns if they have this Book on hand. Bases on my believe, Graduate students from Public Administration, Political Science, Sociology, Psychology, Social Work, Law, and International Relation etc never apprehend all agencies specifically as how I put and illustrate them; except their Agencies. I always cross these agencies in different books, but nothing enough enlighten me how the Agencies and Policies are; now I am clearly sure on agencies policy, roles and organizations, etc. This Pans 2nd Book as well as first Book is away beyond Administrative Laws and Administrative Ethic and Leadership. Author: Pan, Jock Lul
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 974
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Book Description
