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Data Literacy in the Real World

Data Literacy in the Real World
Author: Kristin Fontichiaro
Publisher: Maize Books
Total Pages: 0
Release: 2017
Genre: Education
ISBN: 9781607854524

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Knowing how to recognize the role data plays in our lives is critical to navigating today's complex world. In this volume, you'll find two kinds of professional development tools to support that growth. Part I contains pre-made professional development via links to webinars from the 2016 and 2017 4T Virtual Conference on Data Literacy, along with discussion questions and activities that can animate conversations around data in your school. Part II explores data "in the wild" with case studies pulled from the headlines, along with provocative discussion questions, professionals and students alike can explore multiple perspectives at play with Big Data, data privacy, personal data management, ethical data use, and citizen science.


Creating Data Literate Students

Creating Data Literate Students
Author: Kristin Fontichiaro
Publisher: Maize Books
Total Pages: 0
Release: 2017
Genre: Education
ISBN: 9781607854241

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Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills -- data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. Data -- both raw and displayed in visualizations -- can clarify or confuse, confirm or deny, persuade or deter. Students often learn that numbers are objective, though data in the real world is rarely so. In fact, visualized data -- even from authoritative sources -- can sometimes be anything but objective. Librarians and classroom educators need to be as fluent with quantitative data as they are with text in order to support high schoolers as they engage with data in formal and informal settings. We asked contributors to this volume -- experts in high school curriculum, information literacy and/or data literacy -- to explore the intersections between data and curriculum and identify high-impact strategies for demystifying data for educators and students alike.


Be Data Literate

Be Data Literate
Author: Jordan Morrow
Publisher: Kogan Page Publishers
Total Pages: 241
Release: 2021-03-03
Genre: Business & Economics
ISBN: 1789668026

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WINNER: International Book Awards 2023 - Business: Technology In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without retraining as a data scientist or statistician. With learnings to show development and real-world examples from industries implementing data literacy skills, this book explains how to confidently read and speak the 'language of data' in the modern business environment and everyday life. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions. Written by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world.


Data Information Literacy

Data Information Literacy
Author: Jake Carlson
Publisher: Purdue University Press
Total Pages: 282
Release: 2015-01-15
Genre: Language Arts & Disciplines
ISBN: 1612493521

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Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields? And what role can librarians play in helping students attain these competencies? In addressing these questions, this book articulates a new area of opportunity for librarians and other information professionals, developing educational programs that introduce graduate students to the knowledge and skills needed to work with research data. The term "data information literacy" has been adopted with the deliberate intent of tying two emerging roles for librarians together. By viewing information literacy and data services as complementary rather than separate activities, the contributors seek to leverage the progress made and the lessons learned in each service area. The intent of the publication is to help librarians cultivate strategies and approaches for developing data information literacy programs of their own using the work done in the multiyear, IMLS-supported Data Information Literacy (DIL) project as real-world case studies. The initial chapters introduce the concepts and ideas behind data information literacy, such as the twelve data competencies. The middle chapters describe five case studies in data information literacy conducted at different institutions (Cornell, Purdue, Minnesota, Oregon), each focused on a different disciplinary area in science and engineering. They detail the approaches taken, how the programs were implemented, and the assessment metrics used to evaluate their impact. The later chapters include the "DIL Toolkit," a distillation of the lessons learned, which is presented as a handbook for librarians interested in developing their own DIL programs. The book concludes with recommendations for future directions and growth of data information literacy. More information about the DIL project can be found on the project's website: datainfolit.org.


Data Literacy in Practice

Data Literacy in Practice
Author: Angelika Klidas
Publisher: Packt Publishing Ltd
Total Pages: 396
Release: 2022-11-30
Genre: Computers
ISBN: 1803232358

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Accelerate your journey to smarter decision making by mastering the fundamentals of data literacy and developing the mindset to work confidently with data Key FeaturesGet a solid grasp of data literacy fundamentals to support your next steps in your careerLearn how to work with data and extract meaningful insights to take the right actionsApply your knowledge to real-world business intelligence projectsBook Description Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin—data literacy. This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights. You'll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights. By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making. What you will learnStart your data literacy journey with simple and actionable stepsApply the four-pillar model for organizations to transform data into insightsDiscover which skills you need to work confidently with dataVisualize data and create compelling visual data storiesMeasure, improve, and leverage your data to meet organizational goalsMaster the process of drawing insights, ask critical questions and action your insightsDiscover the right steps to take when you analyze insightsWho this book is for This book is for data analysts, data professionals, and data teams starting or wanting to accelerate their data literacy journey. If you're looking to develop the skills and mindset you need to work independently with data, as well as a solid knowledge base of the tools and frameworks, you'll find this book useful.


Deep Fakes, Fake News, and Misinformation in Online Teaching and Learning Technologies

Deep Fakes, Fake News, and Misinformation in Online Teaching and Learning Technologies
Author: Rebecca J. Blankenship
Publisher:
Total Pages: 292
Release: 2021
Genre: Critical thinking
ISBN: 9781799897149

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"This book discusses how educators and educational professionals are now tasked with employing best practices to not only teach basic digital literacy and citizenship skills but also recognize how technology immersed learning environments interact with deep fakes while equipping students with the tools necessary to recognize authentic and altered content"--


Data Literacy for Educators

Data Literacy for Educators
Author: Ellen B. Mandinach
Publisher: Teachers College Press
Total Pages: 177
Release: 2016-04-01
Genre: Education
ISBN: 0807757535

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Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession. Teachers in all stages of professional growth need to learn how to use data effectively and responsibly to inform their teaching practices. This groundbreaking resource describes data literacy for teaching, emphasizing the important relationship between data knowledge and skills and disciplinary and pedagogical content knowledge. Case studies of emerging programs in schools of education are used to illustrate the key components needed to integrate data-driven decisionmaking into the teaching curricula. The book offers a clear path for change while also addressing the inherent complexities associated with change. Data Literacy for Educators provides concrete strategies for schools of education, professional developers, and school districts.


Better the Data You Know

Better the Data You Know
Author: Erica Sachiyo Deahl
Publisher:
Total Pages: 119
Release: 2014
Genre:
ISBN:

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We live in an era of unprecedented growth in the use and impact of data. While large institutions are using data about individuals to drive decision-making, small organizations and civic hackers are using open and public data to innovate for social good. Meanwhile, the educational and informational resources to enable individuals to understand this data remain scarce. Individuals and communities are often unaware of the data being collected about them, the data they are contributing, and the ways in which that data is being used. Although the Open Data movement has given some individuals a new opportunity to interface with data directly, the public at large lacks the skills and knowledge to take advantage of this opportunity. This thesis argues that we need to support the public - especially youth - in developing data literacy, so that they are equipped to think critically and ethically about data. I make this case in four ways. First, I contextualize the need for data literacy by describing the historical evolution of institutional data collection practices, contemporary uses of data that have had a profound impact on institutions and individuals, and the potentially problematic consequences of data modeling. Second, I propose a definition of "data literacy," situate the concept within the landscape of new media literacies, and describe settings, methodologies, and tools that can be used to support it. Third, I analyze two data literacy initiatives that enable youth to use data to investigate and address real-world issues: one in an informal learning environment, Young Rewired State's Festival of Code, and the other in a public school, City Digits: Local Lotto. Fourth, I analyze the challenges facing data literacy initiatives - from the constraints of the public school environment, to the challenges of reaching diverse audiences and supporting open-ended learning. I propose three design principles to guide researchers, educators, and practitioners in shaping future data literacy initiatives.


The Data Librarian’s Handbook

The Data Librarian’s Handbook
Author: Robin Rice
Publisher: Facet Publishing
Total Pages: 193
Release: 2016-12-20
Genre: Language Arts & Disciplines
ISBN: 1783300477

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An insider’s guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data. Interest in data has been growing in recent years. Support for this peculiar class of digital information – its use, preservation and curation, and how to support researchers’ production and consumption of it in ever greater volumes to create new knowledge, is needed more than ever. Many librarians and information professionals are finding their working life is pulling them toward data support or research data management but lack the skills required. The Data Librarian’s Handbook, written by two data librarians with over 30 years’ combined experience, unpicks the everyday role of the data librarian and offers practical guidance on how to collect, curate and crunch data for economic, social and scientific purposes. With contemporary case studies from a range of institutions and disciplines, tips for best practice, study aids and links to key resources, this book is a must-read for all new entrants to the field, library and information students and working professionals. Key topics covered include: • the evolution of data libraries and data archives • handling data compared to other forms of information • managing and curating data to ensure effective use and longevity • how to incorporate data literacy into mainstream library instruction and information literacy training • how to develop an effective institutional research data management (RDM) policy and infrastructure • how to support and review a data management plan (DMP) for a project, a key requirement for most research funders • approaches for developing, managing and promoting data repositories • handling and sharing confidential or sensitive data • supporting open scholarship and open science, ensuring data are discoverable, accessible, intelligible and assessable. This title is for the practising data librarian, possibly new in their post with little experience of providing data support. It is also for managers and policy-makers, public service librarians, research data management coordinators and data support staff. It will also appeal to students and lecturers in iSchools and other library and information degree programmes where academic research support is taught.


Putting FACES on the Data

Putting FACES on the Data
Author: Lyn Sharratt
Publisher: Corwin Press
Total Pages: 281
Release: 2012-02-03
Genre: Education
ISBN: 1452283877

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Build the bridge from data collection to improved instruction Students are people—not data. How can you use assessment data to focus on reaching every student? This book shows how to develop a common language for sharing all students’ progress with all teachers and leaders, and how to use ongoing assessment to inform instruction. Based on worldwide research of more than 500 educators, the book presents solutions organized by: Assessment Instruction Leadership Ownership The many benefits of personalizing data include increased student engagement and a positive impact on school culture. This reader-friendly guide helps you set goals, adjust lessons, identify students’ strengths and weaknesses, and implement interventions.