Making Data Work

Author: Carol Kaffenberger, Ph.D.
Editor:
ISBN: 9781929289462
File Size: 75,63 MB
Format: PDF
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Making Data Work

Author: Anita Young
Editor:
ISBN: 9781929289554
File Size: 29,46 MB
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Beyond The Numbers

Author: Stephen H. White
Editor: Lead + Learn Press
ISBN: 9780964495548
File Size: 18,66 MB
Format: PDF, ePub
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Educators are frustrated with being asked to do work that they haven't been trained to do. Yet the effect of this work is to improve student achievement, the sole goal in education.

Making Data Work

Author:
Editor:
ISBN:
File Size: 60,55 MB
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Working hours in England are significantly higher than other countries (TALIS 2013) and the Teacher Workload Survey 2016 shows that teachers still work long hours. Workload is consistently cited as one of the most important factors for teachers who are leaving the profession. The Workload Challenge (2014) identified unnecessary tasks linked to assessment and data with 56% of respondents citing tasks around 'recording, inputting, monitoring and analysing data' as burdensome, and noted a range of drivers for this. This report was commissioned by the Secretary of State for Education, following on from his commitment to tackle workload and strip away tasks that do not add value. [Executive summary, ed]

Farmer Profiling Making Data Work For Smallholder Farmers

Author: Addison, C.
Editor: CTA
ISBN:
File Size: 20,26 MB
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The study presented in this report was commissioned by the Technical Centre for Agricultural and Rural Cooperation (CTA) as a member of the Global Open Data for Agriculture & Nutrition (GODAN) initiative, and was conducted by SB Consulting (SBC4D). The objective of the research is to understand the role of farmer organisations (FO) and cooperatives in the agriculture data ecosystem. These organisations have long been recognised to play an important role in society that translates into the improvement of living conditions of their members, particularly the low-income earning population. More than 40% of households in Africa are member of a cooperative society ([ILO-2000]) and the cooperative movement is Africa’s biggest nongovernmental organisation. The key question this report explores is the role of these organisations in the emergent “data revolution.” How can they ensure that this data revolution benefits their members and the smallholder farmers in general, and at the same time contribute to the revolution by providing valuable information to policy makers or other stakeholders of the ecosystem?

Making Big Data Work For Your Business

Author: Sudhi Sinha
Editor: Packt Publishing Ltd
ISBN: 1783000996
File Size: 73,72 MB
Format: PDF, Kindle
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If your are interested in the power of Big Data to drive improvement in your business, then this book will help you build and initiate a project for positive change.

Making Data Work For Human Development

Author: Astra Bonini
Editor:
ISBN:
File Size: 45,82 MB
Format: PDF, ePub, Docs
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Data Feminism

Author: Catherine D'Ignazio
Editor: MIT Press
ISBN: 0262044005
File Size: 28,43 MB
Format: PDF, ePub, Mobi
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A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

Data Action

Author: Sarah Williams
Editor:
ISBN: 0262044196
File Size: 43,11 MB
Format: PDF, Mobi
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"Data Action will offer a model for reading, collecting, visualizing, and putting data to work on civic change. Using arresting graphics and influential case studies, as well as incorporating cultural and historical context, Data Action presents a helpful corrective to standard practice. Historically, data has been used and manipulated to make policy decisions without input from the general public. Data Action asks advocates of big data to rethink how they work by laying out a methodology for more transparent and accountable data analysis. The tools outlined in this book will help anyone, not just government officials, but data scientists, civic activists and hackers, as well as all citizens reaching for more effective civic debates and policy reforms, to shape our environment, economy, public health, and quality of life, with greater transparency and democratic participation"--

Resources In Education

Author:
Editor:
ISBN:
File Size: 26,78 MB
Format: PDF, Kindle
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O Reilly Strata Conference

Author:
Editor:
ISBN:
File Size: 71,90 MB
Format: PDF, Kindle
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"Didn't make it to Strata Santa Clara 2013? No problem. This complete video compilation puts you front and center at every keynote, session, and tutorial from the biggest Strata Conference to date. With more than 100 presentations from today's leading big data practitioners, you'll learn the latest approaches to data-driven business, data design, data science, new data from an increasingly connected world, and many other issues."--Resource description page.

Making Your Data Work

Author: Kenneth R. Rohde
Editor: HC Pro, Inc.
ISBN: 1601461453
File Size: 38,88 MB
Format: PDF, ePub, Docs
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The Joint Commission, state agencies, and others are demanding solid data proving increased patient safety. You may be enlisting your front-line staff to gather this kind of information, but do they know how to interpret that data? Frequently, vital information with great potential for improving patient care, as well as proving compliance with Joint Commission patient safety goals, is overlooked or underutilized. Avoid common mistakes with this valuable resource. Making Your Data Work: Tools and templates for effective analysis will help staff quickly and easily find and present valuable information to improve quality and performance at your facility. BONUS! The CD-ROM contains customizable forms, policies and tools meet the needs of your facility!

Teachers Know Best

Author: Bill & Melinda Gates Foundation
Editor:
ISBN:
File Size: 34,87 MB
Format: PDF, Docs
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As part of the Bill & Melinda Gates Foundation's broader efforts to improve educational opportunities for all students, the "Teachers Know Best" research project seeks to encourage innovation in K-12 education by helping product developers and those who procure resources for teachers better understand teachers' views. The original "Teachers Know Best" report, released in 2014, was an attempt to share with educators and product developers detailed information about how K-12 teachers and students view digital instructional tools as a whole. This follow-up study focuses on the potential of a specific subset of digital instructional tools: those that help teachers collect and make use of student data to tailor and improve instruction for individual students. The use of data is a crucial component in personalized learning, which ensures that student learning experiences--what they learn and how, when, and where they learn it--are tailored to their individual needs, skills, and interests and enable them to take ownership of their learning. Personalized learning is critical to meeting all students where they are, so they are neither bored with assignments that are too easy nor overwhelmed by work that is too hard. The intent of "Making Data Work" is to drill down to help educators, school leaders, and product developers better understand the challenges teachers face when working with this critical segment of digital instructional tools. More than 4,600 teachers from a nationally representative sample were surveyed about their use of data to drive instruction and the use of these tools. They were asked to talk about their behaviors and beliefs, to discuss specific occasions in which they use data to guide student learning, to describe and rate current tools, and to talk about the challenges they face, and offer advice on ways to make digital tools more effective for teachers and students. In addition, the study included qualitative research in innovative schools that are at the forefront of personalizing learning for students, as well as in more traditional public schools. The results of the study as well as recommendations for product developers, teachers, district and school leaders, and funders are included in the report.

Gmd

Author: Great Britain. Work Study Branch
Editor:
ISBN:
File Size: 19,70 MB
Format: PDF, ePub
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Ethics Of Big Data

Author: Kord Davis
Editor: "O'Reilly Media, Inc."
ISBN: 1449357490
File Size: 24,84 MB
Format: PDF, Kindle
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What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices. Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue—as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you’ll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders. Review your data-handling practices and examine whether they reflect core organizational values Express coherent and consistent positions on your organization’s use of big data Define tactical plans to close gaps between values and practices—and discover how to maintain alignment as conditions change over time Maintain a balance between the benefits of innovation and the risks of unintended consequences

Designing Data Visualizations

Author: Noah Iliinsky
Editor: "O'Reilly Media, Inc."
ISBN: 1449317065
File Size: 60,47 MB
Format: PDF, Mobi
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Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process. Learn data visualization classifications, including explanatory, exploratory, and hybrid Discover how three fundamental influences—the designer, the reader, and the data—shape what you create Learn how to describe the specific goal of your visualization and identify the supporting data Decide the spatial position of your visual entities with axes Encode the various dimensions of your data with appropriate visual properties, such as shape and color See visualization best practices and suggestions for encoding various specific data types

Collaborative Analysis Of Student Work

Author: Georgea M. Langer
Editor: ASCD
ISBN: 0871207842
File Size: 79,42 MB
Format: PDF, Kindle
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Offers an approach to staff development that challenges teachers to examine their beliefs about what students can do and helps them identify which teaching methods are working most successfully.

Oracle Essentials

Author: Rick Greenwald
Editor: "O'Reilly Media, Inc."
ISBN: 1449343171
File Size: 62,16 MB
Format: PDF, ePub, Docs
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Written by Oracle insiders, this indispensable guide distills an enormous amount of information about the Oracle Database into one compact volume. Ideal for novice and experienced DBAs, developers, managers, and users, Oracle Essentials walks you through technologies and features in Oracle’s product line, including its architecture, data structures, networking, concurrency, and tuning. Complete with illustrations and helpful hints, this fifth edition provides a valuable one-stop overview of Oracle Database 12c, including an introduction to Oracle and cloud computing. Oracle Essentials provides the conceptual background you need to understand how Oracle truly works. Topics include: A complete overview of Oracle databases and data stores, and Fusion Middleware products and features Core concepts and structures in Oracle’s architecture, including pluggable databases Oracle objects and the various datatypes Oracle supports System and database management, including Oracle Enterprise Manager 12c Security options, basic auditing capabilities, and options for meeting compliance needs Performance characteristics of disk, memory, and CPU tuning Basic principles of multiuser concurrency Oracle’s online transaction processing (OLTP) Data warehouses, Big Data, and Oracle’s business intelligence tools Backup and recovery, and high availability and failover solutions

Data Scientists At Work

Author: Sebastian Gutierrez
Editor: Apress
ISBN: 143026599X
File Size: 22,14 MB
Format: PDF, Docs
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Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (André Karpištšenko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees’ earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients.

On Being A Data Skeptic

Author: Cathy O'Neil
Editor: "O'Reilly Media, Inc."
ISBN: 1491947241
File Size: 69,28 MB
Format: PDF, ePub, Docs
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"Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical––it understands that, while powerful, data science tools often fail. Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'" The big data revolution shouldn't be dismissed as hype, but current data science tools and models shouldn't be hailed as the end-all-be-all, either.