Data Literacy for Educators

Author: Ellen B. Mandinach
Publisher: Teachers College Press
ISBN: 0807757535
Category : Education
Languages : en
Pages : 177

Book Description
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.

Creating Data Literate Students

Author: Kristin Fontichiaro
Publisher: Maize Books
ISBN: 9781607854241
Category : Education
Languages : en
Pages : 0

Book Description
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.

Becoming Data Literate

Author: David Reed
Publisher: Harriman House Limited
ISBN: 0857199277
Category : Business & Economics
Languages : en
Pages : 0

Book Description
Data is a must-have for any business looking to thrive. So is having leadership who 'get' data and use it to support their decision-making. But how do you embed the use of data and analytics across your organisation so they truly support every process end-to-end? Becoming data literate in this way is a journey that involves vision, strategy, value creation, culture and data foundations. With an evidence-based framework to guide you, this book lays out a roadmap to ensure you get where you need to go.

Be Data Literate

Author: Jordan Morrow
Publisher: Kogan Page Publishers
ISBN: 1398617822
Category : Computers
Languages : en
Pages : 257

Book Description
WINNER: International Book Awards 2023 - Business: Technology (1st edition) Not everyone needs to be a data scientist, but everyone should be data literate in a fast-moving world that brings new technological developments every day. 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 needing a data science degree. With learnings to show development and real-world examples from industries implementing data literacy skills, this new edition includes groundbreaking insights into the future of data and AI. 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.

World Literacy

Author: John W. Miller
Publisher: Routledge
ISBN: 1317437977
Category : Language Arts & Disciplines
Languages : en
Pages : 213

Book Description
International literacy assessments have provided ample data for ranking nations, charting growth, and casting blame. Summarizing the findings of these assessments, which afford a useful vantage from which to view world literacy as it evolves, this book examines literate behavior worldwide, in terms of both the ability of populations from a wide variety of nations to read and the practice of literate behavior in those nations. Drawing on The World’s Most Literate Nations, author Jack Miller’s internationally released study, emerging trends in world literacy and their relationships to political, economic, and social factors are explored. Literacy, and in particular the practice of literate behaviors, is used as a lens through which to view countries’ economic development, gender equality, resource utilization, and ethnic discrimination. Above all, this book is about trajectories. It begins with historical contexts, described in terms of support for literate cultures. Based on a variety of data sources, these trends are traced to the present and then projected ahead. The literate futures of nations are discussed and how these relate to their economic and sociocultural development. This book is unique in providing a broader perspective on an intractable problem, a vantage point that offers useful insights to inform policy, and in bringing together an array of relevant data sources not typically associated with literacy status.

Shaping Literate Minds

Author: Linda Dorn
Publisher: Taylor & Francis
ISBN: 1003844146
Category : Education
Languages : en
Pages : 213

Book Description
How can teachers create a literacy curriculum that builds processing links between reading, writing, and spelling knowledge? In Shaping Literate Minds: Developing Self Regulated Learners , Linda J. Dorn and Carla Soffos illustrate how processing theory can be applied to the everyday practices of classroom teaching. If instruction emphasizes the interrelationships of these three language areas, students learn how to transfer knowledge, skills, and strategies across literacy events. This is complex theory, but the authors provide clear and practical examples to support teachers as they incorporate these ideas into their classroom practices. Grounded in authentic experiences from primary classrooms, this book provides: Explanations of processing behaviors among reading, writing, and spelling knowledgeObservational tools that support teachers in noticing changes over time in specific literacy behaviorsGuidance on creating conditions for developing self-regulated learnersAuthentic reading and writing samples and teacher/student interactionsFigures and pictures that clearly describe how teachers can use assessment to inform and guide instruction, with links to national standardsDetails for establishing a school-based literacy model that includes team meetings, assessment walls, high standards, and a curriculum for literacyAppendixes with reproducible assessment checklists, report cards, task cards for literacy corners, and guided reading observation forms for team meetingsWith a national emphasis on accountability, high standards, and literacy achievement, Shaping Literate Minds will help teachers and administrators implement a high-quality literacy curriculum that links to national and state goals.

Turning Data Into Wisdom

Author: Kevin Hanegan
Publisher:
ISBN: 9780578639871
Category :
Languages : en
Pages : 268

Book Description
This book presents a 6-phase, 12-step process to help those at all levels of an organization use their knowledge, skills, and experience to make data-informed decisions that can help transform their companies-and sometimes, even the world.

Data Fluency

Author: Zach Gemignani
Publisher: John Wiley & Sons
ISBN: 1118851005
Category : Computers
Languages : en
Pages : 294

Book Description
A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable and easy to understand Develop unique skills required to shape data to the needs of different audiences Full color book links to bonus content at juiceanalytics.com Written by well-known and highly esteemed authors in the data presentation community Data Fluency: Empowering Your Organization with Effective Communication focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use Data Fluency today to develop the skills necessary to turn data into effective displays for decision-making.

Avoiding Data Pitfalls

Author: Ben Jones
Publisher: John Wiley & Sons
ISBN: 1119278163
Category : Business & Economics
Languages : en
Pages : 272

Book Description
Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.

R for Data Science

Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521

Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results