Data Literacy In Education

  data literacy in education: Data Literacy for Educators Ellen B. Mandinach, Edith S. Gummer, 2016-04-01 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.
  data literacy in education: The Basics of Data Literacy Michael Bowen, Anthony Bartley, 2014 Here's the ideal statistics book for teachers with no statistical background. Written in an informal style with easy-to-grasp examples, The Basics of Data Literacy teaches you how to help your students understand data. Then, in turn, they learn how to collect, summarize, and analyze statistics inside and outside the classroom. The books 10 succinct chapters provide an introduction to types of variables and data, ways to structure and interpret data tables, simple statistics, and survey basics from a student perspective. The appendices include hands-on activities tailored to middle and high school investigations. Because data are so central to many of the ideas in the Next Generation Science Standards, the ability to work with such information is an important science skill for both you and your students. This accessible book will help you get over feeling intimidated as your students learn to evaluate messy data on the Internet, in the news, and in future negotiations with car dealers and insurance agents.
  data literacy in education: Data Literacy for Educators Ellen B. Mandinach, Edith S. Gummer, 2016 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. Book Features: Defines data literacy for teaching and outlines the knowledge and skills it comprises. Uses examples and case studies that tie theory to practice. Provides a roadmap for integrating data literacy into teacher preparation programs. Covers emerging trends, such as virtual and hybrid courses and massive open online courses. “This thoughtful, well-organized book raises the challenges that beginning and experienced teachers face in becoming more data literate to increase their pedagogical effectiveness in their classrooms.” —From the Foreword by Barbara Schneider “Deans of colleges of education, practicing teachers, education advocates, and many others will find useful information here.” —Benjamin Riley, Deans for Impact “This work should join the ‘common core’ of teacher education and professional development programs.” —Lee S. Shulman, The Carnegie Foundation for the Advancement of Teaching “The authors lay out a compelling call to action to ensure that every teacher in this country has the skills, knowledge, and disposition in knowing how to use data to inform effective teaching.” —Aimee Rogstad Guidera, Data Quality Campaign
  data literacy in education: Data Literacy in Academic Libraries Julia Bauder, 2021-07-21 We live in a data-driven world, much of it processed and served up by increasingly complex algorithms, and evaluating its quality requires its own skillset. As a component of information literacy, it's crucial that students learn how to think critically about statistics, data, and related visualizations. Here, Bauder and her fellow contributors show how librarians are helping students to access, interpret, critically assess, manage, handle, and ethically use data. Offering readers a roadmap for effectively teaching data literacy at the undergraduate level, this volume explores such topics as the potential for large-scale library/faculty partnerships to incorporate data literacy instruction across the undergraduate curriculum; how the principles of the ACRL Framework for Information Literacy for Higher Education can help to situate data literacy within a broader information literacy context; a report on the expectations of classroom faculty concerning their students’ data literacy skills; various ways that librarians can partner with faculty; case studies of two initiatives spearheaded by Purdue University Libraries and University of Houston Libraries that support faculty as they integrate more work with data into their courses; Barnard College’s Empirical Reasoning Center, which provides workshops and walk-in consultations to more than a thousand students annually; how a one-shot session using the PolicyMap data mapping tool can be used to teach students from many different disciplines; diving into quantitative data to determine the truth or falsity of potential “fake news” claims; and a for-credit, librarian-taught course on information dissemination and the ethical use of information.
  data literacy in education: Evidence-based School Leadership and Management Gary Jones, 2018-09-17 There is a vast amount of research on what goes on in schools, but how can school leaders sort credible findings from dubious claims and use these to make informed decisions that benefit their schools? How can abstract ideas from research be translated into dynamic plans for action? This book is a practical guide to evidence-based school leadership demonstrating the benefits that can be gained from engaging with robust educational research and offering clear guidance on applying meaningful lessons to practice. Topics include: · What is evidence-based school leadership and why does it matter? · How to collect data from your own school and how to analyse this evidence in order to inform strategic leadership decisions · Models for implementing school improvement and change · Leadership skills for fostering a culture of evidence-based practice This is essential reading for senior and middle leaders in educational organisations who aspire to lead effective schools with high levels of staff well-being and enhanced outcomes for the learners they teach.
  data literacy in education: Data Information Literacy Jake Carlson, Lisa R. Johnston, 2015-01-15 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 education: Transforming Teaching and Learning Through Data-Driven Decision Making Ellen B. Mandinach, Sharnell S. Jackson, 2012-04-10 Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management.--Publisher's description.
  data literacy in education: Educational Data Literacy Demetrios Sampson, Zacharoula Papamitsiou, Dirk Ifenthaler, Michail Giannakos, Sofia Mougiakou, Dimitra Vinatsella, 2022-10-26 Digital Education is recognised as a key transformative innovation for K-12 school and university teaching and learning, as well as, for professional development and vocational training. As a result, blended and online courses are nowadays widely deployed to meet the needs of K-12, higher education and vocational training students, as well as, the needs for professional development of in-service professionals. In this context, important professional roles in digital education and training, such as, the Instructional Designers, who design and develop online and blended courses, and the Trainers or Tutors who support the delivery of these online and blended courses, require new professional competences compared to those assumed at the traditional face to face education and tra ining programs.This is particularly relevant today, in the post Covid-19 era, where educational organisations, leaders and teachers are challenged with reinventing their teaching and learning environments to offer higher quality, more accessible and inclusive teaching, learning and assessment. Educational Data Literacy (EDL) is a core competence for all education professionals, including school teachers, instructional designers and tutors of online and blended learning courses, as well as educational institutions' leaders. Nevertheless, existing professional competence frameworks for educators pay little attention to EDL, missing out the potential of using emerging EDL methods and tools in online and blended teaching and learning - thus there is a need for extending existing professional competence frameworks for educators with new competences to accommodate the emerging field of EDL. To this end, this brief monograph presents a comprehensive proposal of an Educational Data Literacy Competence Profile (EDL-CP) framework for education professionals, as well as, exemplary learning outcomes for the proposed EDL-CP framework, and use-case examples for indicative target groups, namely instructional designers, e-Trainers and K-12 school teachers. The work of this book has been produced within the project Learn2Analyze — An Academia-Industry Knowledge Alliance for enhancing Online Training Professionals’ (Instructional Designers and e-Trainers) Competences in Educational Data Analytics which is co-funded by European Commission through the Erasmus+ Program (Cooperation for innovation and the exchange of good practices – Knowledge Alliances).
  data literacy in education: Data-based Decision Making in Education Kim Schildkamp, Mei Kuin Lai, Lorna Earl, 2012-09-18 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.
  data literacy in education: Data-Driven School Improvement Ellen B. Mandinach, Margaret Honey, 2008 The first comprehensive examination of the field, this book brings together stakeholders representing a variety of perspectives to explore how educators actually use data and technology tools to achieve lasting improvement in student performance. Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry P. King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz M. Rivas, Mark S. Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young. “If you want to understand usable knowledge, read Data-Driven School Improvement.” —Ellen Condliffe Lagemann, Harvard University “It is reassuring to know that at least some of the data being generated in our data-driven age are being used to make wiser decisions. We can all learn from these illustrative accounts.” —David C. Berliner, Mary Lou Fulton College of Education, Arizona State University “Replete with examples from real schools and districts, this volume provides a multi-layered portrait of what it takes to establish a culture of data use. Readers will come away with an appreciation of the systemic changes needed to reap the full potential of data-driven decision making.” —Barbara Means, Center for Technology in Learning, SRI International
  data literacy in education: Data Literacy in the Real World Kristin Fontichiaro, Amy Lennex, Jo Angela Oehrli, Tyler Hoff, Kelly Hovinga, 2017 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.
  data literacy in education: Data Analysis, Interpretation, and Theory in Literacy Studies Research Michele Knobel, Judy Kalman, Colin Lankshear, 2020-04-17 Novice and early career researchers often have difficulty with understanding how theory, data analysis and interpretation of findings “hang together” in a well-designed and theorized qualitative research investigation and with learning how to draw on such understanding to conduct rigorous data analysis and interpretation of their analytic results. Data Analysis, Interpretation, and Theory in Literacy Studies Research demonstrates how to design, conduct and analyze a well put together qualitative research project. Using their own successful studies, chapter authors spell out a problem area, research question, and theoretical framing, carefully explaining their choices and decisions. They then show in detail how they analyzed their data, and why they took this approach. Finally, they demonstrate how they interpreted the results of their analysis, to make them meaningful in research terms. Approaches include interactional sociolinguistics, microethnographic discourse analysis, multimodal analysis, iterative coding, conversation analysis, and multimediated discourse analysis, among others. This book will appeal to beginning researchers and to literacy researchers responsible for teaching qualitative literacy studies research design at undergraduate and graduate levels. Perfect for courses such as: Literacy Research Seminar | Introduction to Qualitative Research | Advanced Research Methods | Studying New Literacies and Media | Research Perspectives in Literacy | Discourse Analysis | Advanced Qualitative Data Analysis | Sociolinguistic Analysis | Classroom Language Research
  data literacy in education: Data Literacy David Herzog, 2015-01-29 A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
  data literacy in education: The Data-Driven School Daniel M. Hyson, Joseph F. Kovaleski, Benjamin Silberglitt, Jason A. Pedersen, 2020-05-06 This indispensable practitioner's guide helps to build the capacity of school psychologists, administrators, and teachers to use data in collaborative decision making. It presents an applied, step-by-step approach for creating and running effective data teams within a problem-solving framework. The authors describe innovative ways to improve academic and behavioral outcomes at the individual, class, grade, school, and district levels. Applications of readily available technology tools are highlighted. In a large-size format for easy photocopying, the book includes learning activities and helpful reproducible forms. The companion website provides downloadable copies of the reproducible forms as well as Excel spreadsheets, PowerPoint slides, and an online-only chapter on characteristics of effective teams. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas.
  data literacy in education: Worldwide Commonalities and Challenges in Information Literacy Research and Practice Serap Kurbanoglu, Esther Grassian, Diane Mizrachi, Ralph Catts, Sonja Spiranec, 2013-12-13 This book constitutes the refereed proceedings of the European Conference on Information Literacy, ECIL 2013, held in Istanbul Turkey, in October 2013. The 73 revised full papers presented together with two keynotes, 9 invited papers and four doctoral papers were carefully reviewed and selected from 236 submissions. The papers are organized in topical sections on overview and research; policies and strategies; theoretical framework; related concepts; citizenship and digital divide; disadvantaged groups; information literacy for the workplace and daily life; information literacy in Europe; different approaches to information literacy; teaching and learning information literacy; information literacy instruction; assessment of information literacy; information literacy and K-12; information literacy and higher education; information literacy skills of LIS students; librarians, libraries and ethics.
  data literacy in education: Predict, Observe, Explain John Haysom, Michael Bowen, 2010 John Haysom and Michael Bowen provide middle and high school science teachers with more than 100 student activities to help the students develop their understanding of scientific concepts. The powerful Predict, Observe, Explain (POE) strategy, field-tested by hundreds of teachers, is designed to foster student inquiry and challenge existing conceptions that students bring to the classroom.
  data literacy in education: The K-12 Educator’s Data Guidebook Ryan A. Estrellado, 2022-03-21 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.
  data literacy in education: The Handbook of Media Education Research Divina Frau-Meigs, Sirkku Kotilainen, Manisha Pathak-Shelat, Michael Hoechsmann, Stuart R. Poyntz, 2020-09-04 Over the past forty years, media education research has emerged as a historical, epistemological and practical field of study. Shifts in the field—along with radical transformations in media technologies, aesthetic forms, ownership models, and audience participation practices—have driven the application of new concepts and theories across a range of both school and non-school settings. The Handbook on Media Education Research is a unique exploration of the complex set of practices, theories, and tools of media research. Featuring contributions from a diverse range of internationally recognized experts and practitioners, this timely volume discusses recent developments in the field in the context of related scholarship, public policy, formal and non-formal teaching and learning, and DIY and community practice. Offering a truly global perspective, the Handbook focuses on empirical work from Media and Information Literacy (MIL) practitioners from around the world. The book’s five parts explore global youth cultures and the media, trans-media learning, media literacy and scientific controversies, varying national approaches to media research, media education policies, and much more. A ground breaking resource on the concepts and theories of media research, this important book: Provides a diversity of views and experiences relevant to media literacy education research Features contributions from experts from a wide-range of countries including South Africa, Finland, India, Italy, Brazil, and many more Examines the history and future of media education in various international contexts Discusses the development and current state of media literacy education institutions and policies Addresses important contemporary issues such as social media use; datafication; digital privacy, rights, and divides; and global cultural practices. The Handbook of Media Education Research is an invaluable guide for researchers in the field, undergraduate and graduate students in media studies, policy makers, and MIL practitioners.
  data literacy in education: Data Literacy Fundamentals Ben Jones, 2020-07-03 The vast majority of people in the world today do not receive a formal education that adequately prepares them for the level of data literacy required of them in their careers and by their communities. As a result, many are being left behind by the transition to data-driven dialogues and decisions all around them, and they're seeking ways to break down the barriers that are preventing them from participating. Data Literacy Fundamentals covers foundational topics such as the overall goal of data, various ways of measuring and categorizing the world, five different forms of data analysis and when they apply, pros and cons related to how we display data in tabular or graphic form, and the way teams work together to convert data into insight.This book has been written for anyone who is just getting started with data and who wants to feel more confident in their understanding of what it is, what it isn't, and what it's used for. This invaluable resource will cure you of your dataphobia, teach you the basic concepts of data, and set you on a path of learning that will ultimately result in fluency in the language of data.
  data literacy in education: Teaching Literacy in the Twenty-First Century Classroom Tiffany L. Gallagher, Katia Ciampa, 2020-07-02 This book discusses current issues in literacy teacher education and illuminates the complexity of supporting self-efficacious educators to teach language and literacy in the twenty-first century classroom. In three sections, chapter authors first detail how teacher education programs can be revamped to include content and methods to inspire self-efficacy in pre-service teachers, then reimagine how teacher candidates can be set up for success toward obtaining this. The final section encourages readers to ruminate on the interplay among teacher candidates as they transition into practice and work to have both self- and collective- efficacy.
  data literacy in education: Mindset Mathematics Jo Boaler, Jen Munson, Cathy Williams, 2017-08-28 Engage students in mathematics using growth mindset techniques The most challenging parts of teaching mathematics are engaging students and helping them understand the connections between mathematics concepts. In this volume, you'll find a collection of low floor, high ceiling tasks that will help you do just that, by looking at the big ideas at the first-grade level through visualization, play, and investigation. During their work with tens of thousands of teachers, authors Jo Boaler, Jen Munson, and Cathy Williams heard the same message—that they want to incorporate more brain science into their math instruction, but they need guidance in the techniques that work best to get across the concepts they needed to teach. So the authors designed Mindset Mathematics around the principle of active student engagement, with tasks that reflect the latest brain science on learning. Open, creative, and visual math tasks have been shown to improve student test scores, and more importantly change their relationship with mathematics and start believing in their own potential. The tasks in Mindset Mathematics reflect the lessons from brain science that: There is no such thing as a math person - anyone can learn mathematics to high levels. Mistakes, struggle and challenge are the most important times for brain growth. Speed is unimportant in mathematics. Mathematics is a visual and beautiful subject, and our brains want to think visually about mathematics. With engaging questions, open-ended tasks, and four-color visuals that will help kids get excited about mathematics, Mindset Mathematics is organized around nine big ideas which emphasize the connections within the Common Core State Standards (CCSS) and can be used with any current curriculum.
  data literacy in education: The Datafication of Education Juliane Jarke, Andreas Breiter, 2020-05-21 This book attends to the transformation of processes and practices in education, relating to its increasing digitisation and datafication. The introduction of new means to measure, capture, describe and represent social life in numbers has not only transformed the ways in which teaching and learning are organised, but also the ways in which future generations (will) construct reality with and through data. Contributions consider data practices that span across different countries, educational fields and governance levels, ranging from early childhood education, to schools, universities, educational technology providers, to educational policy making and governance. The book demonstrates how digital data not only support decision making, but also fundamentally change the organisation of learning and teaching, and how these transformation processes can have partly ambivalent consequences, such as new possibilities for participation, but also the monitoring and emergence/manifestation of inequalities. Focusing on how data can drive decision making in education and learning, this book will be of interest to those studying both educational technology and educational policy making. The chapters in this book were originally published in Learning, Media and Technology. Chapter 4 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
  data literacy in education: Learning to See Data Ben Jones, 2020-12-15 This book is associated with the 'Data Literacy Level 1' on-demand online course: https://dataliteracy.com/courses/data-literacy-level-1 For most of us, it's rare to go a full day without coming across data in the form of a chart, map or dashboard. Graphical displays of data are all around us, from performance indicators at work to election trackers on the news to traffic maps on the road. But few of us have received training or instruction in how to actually read and interpret them. How many times have we been misled simply because we aren't aware of the pitfalls to avoid when interpreting data visualizations. Learning to See Data will teach you the different ways that data can be encoded in graphical form, and it will give you a deeper understanding of the way our human visual system interprets these encodings. You will also learn about the most common chart types, and the situations in which they are most appropriate. From basic bar charts to overused pie charts to helpful maps and many more, a wide array of chart types are covered in detail, and conventions, pitfalls, strengths and weaknesses of each of them are revealed. This book will help you develop fluency in the interpretation of charts, an ability that we all need to hone and perfect if we are to make meaningful contributions in the professional, public and personal arenas of life. The principles covered in it also serve as a critical background for anyone looking to create charts that others will be able to understand. This book is clear and evocative, thorough and thoughtful, and remarkably readable: a marvelous launchpad into the world of data. –Tamara Munzner, Professor, University of British Columbia Computer Science Everyone of us needs good data literacy skills to survive in the modern world. Without them, it's hard to succeed at work, or survive the onslaught of information (and misinformation) across all our media. Ben's book provides the necessary building blocks for a strong foundation. From that foundation, Ben's approach will inspire you to own the process of developing your skills further. –Andy Cotgreave, Technical Evangelism Director, Tableau
  data literacy in education: Data Wise, Revised and Expanded Edition Kathryn Parker Boudett, Elizabeth A. City, Richard J. Murnane, 2020-08-26 Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning presents a clear and carefully tested blueprint for school leaders. It shows how examining test scores and other classroom data can become a catalyst for important schoolwide conversations that will enhance schools’ abilities to capture teachers’ knowledge, foster collaboration, identify obstacles to change, and enhance school culture and climate. This revised and expanded edition captures the learning that has emerged in integrating the Data Wise process into school practice and brings the book up-to-date with recent developments in education and technology including: The shift to the Common Core State Standards. New material on the “ACE Habits of Mind”: practices that prioritize Action, Collaboration, and Evidence as part of transforming school culture. A new chapter on “How We Improve,” based on experiences implementing Data Wise and to address two common questions: “Where do I start?” and “How long will it take?” Other revisions take into account changes in the roles of school data teams and instructional leadership teams in guiding the inquiry process. The authors have also updated exhibits, examples, and terminology throughout and have added new protocols and resources.
  data literacy in education: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
  data literacy in education: The Data Coach's Guide to Improving Learning for All Students Nancy Love, Katherine E. Stiles, 2008-02-27 Use data as an effective tool for school change and improvement! This resource helps data team facilitators move schools away from unproductive data practices and toward examining data for systematic and continuous improvement in instruction and learning. The book, which includes a CD-ROM with slides and reproducibles, illustrates how the authors' model has proven successful in: Narrowing achievement gaps in all content areas and grade levels Achieving strong, continuous gains in local and state assessments in mathematics, science, and reading Initiating powerful conversations about race/ethnicity, class, educational status, gender, and language differences Developing a vision for a high-performing, data-informed school culture
  data literacy in education: Culturally Responsive Data Literacy Ellen B. Mandinach, 2024-04-30 This book describes culturally responsive data literacy (CRDL), which merges data literacy and culturally responsive practices to help educators assume a whole child perspective, an asset model, and an equity lens to the use of data. It provides authentic scenarios and guiding questions to uncover unconscious bias, seeking to build awareness of CRDL and to provide usable resources for all educators.
  data literacy in education: How to Make Decisions with Different Kinds of Student Assessment Data Susan M. Brookhart, 2015-12-07 In How to Make Decisions with Different Kinds of Student Assessment Data, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn— * What different kinds of data can—and cannot—tell us about student learning; * What different analyses reveal about changes in student achievement; * How to interpret, use, and share relevant data; and * How to create a model to go from problem to solution in a data-based decision-making process. With easy-to-understand explanations, supplemented by examples and scenarios from actual schools, this book offers a path to better understanding, more accurate interpretation of assessment results, and—most important—more effective use of data to improve teaching and learning.
  data literacy in education: Learning and Leading with Habits of Mind Arthur L. Costa, Bena Kallick, 2008 Revised and expanded from the original 4-book Habits of Mind series, this compelling volume shows how developing strong habits of mind is an essential foundation for leading, teaching, learning, and living well in a complex world.
  data literacy in education: Teaching Advanced Literacy Skills Nonie K. Lesaux, Emily Phillips Galloway, Sky H. Marietta, 2016-08-01 In our knowledge-based society, K?8 students need to develop increasingly sophisticated skills to read, write, and speak for a wide variety of purposes and audiences. Including an extended case example from a linguistically diverse school (nearly 75% English learners), this book guides school leaders to design and implement advanced literacy instruction through four key shifts: strengthening the instructional core, giving data a central role, using a shared curriculum, and providing supportive and tailored professional development. Reproducible forms and templates facilitate planning and implementation of schoolwide initiatives. Purchasers get access to a Web page where they can download and print the reproducible materials in a convenient 8 1/2 x 11 size.
  data literacy in education: Teaching Data Literacy in Social Studies Tamara L. Shreiner, 2024 We are surrounded by data and data visualizations in our everyday lives. To help ensure that students can critically evaluate data—and use it to promote social justice—this book outlines principles and practices for teaching data literacy as part of social studies education. The author shows how social studies content and skills can enhance data literacy, and its importance in supporting students’ historical thinking and civic engagement. Shreiner also provides a rationale for including data literacy in the social studies curriculum and highlights the special knowledge and skills social studies teachers offer in promoting a critical, humanistic form of data literacy. Recognizing that many social studies teachers feel poorly equipped to teach data literacy, this book offers practical advice, summaries of the benefits and challenges to students, guidance for incorporating data literacy across elementary and secondary grades, and strategies to help students analyze, use, and create data visualizations. “This important book provides many practical suggestions and powerful visual examples built on sound research that will support educators as they continue to find new ways to integrate data literacy in their history, civics, geography, economics, and other social science classrooms and beyond.” —Christopher C. Martell, associate professor, University of Massachusetts Boston “Shreiner demonstrates how we use data visualizations to understand and construct arguments about the world around us and provides concrete ideas for how to approach teaching it in social studies classrooms. This book makes teaching data literacy feel relevant, urgent, and—most importantly—doable.” —Sarah McGrew, assistant professor, University of Maryland
  data literacy in education: R for Data Science Hadley Wickham, Garrett Grolemund, 2016-12-12 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
  data literacy in education: How to Lie with Statistics Darrell Huff, 2010-12-07 If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
  data literacy in education: Creating Data Literate Students Kristin Fontichiaro, Jo Angela Oehrli, Amy Lennex, 2017 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.
  data literacy in education: Case Studies on Diversity and Social Justice Education Paul C. Gorski, Seema G. Pothini, 2013-11-07 Case Studies on Diversity and Social Justice Education offers pre- and in-service educators an opportunity to analyze and reflect upon a variety of realistic case studies related to educational equity and social justice. Each case, written in an engaging, narrative style, presents a complex but common classroom scenario in which an inequity or injustice is in play. These cases allow educators to practice the process of considering a range of contextual factors, checking their own biases, and making immediate- and longer-term decisions about how to create and sustain equitable learning environments for all students. The book begins with a seven-point process for examining case studies. Largely lacking from existing case study collections, this framework guides readers through the process of identifying, examining, reflecting on, and taking concrete steps to resolve challenges related to diversity and equity in schools. The cases themselves present everyday examples of the ways in which racism, sexism, homophobia and heterosexism, class inequities, language bias, religious-based oppression, and other equity and diversity concerns affect students, teachers, families, and other members of our school communities. They involve classroom issues that are relevant to all grade levels and all content areas, allowing significant flexibility in how and with whom they are used. Although organized topically, the intersection of these issues are stressed throughout the cases, reflecting the multi-faceted way they play out in real life. All cases conclude with a series of questions to guide discussion and a section of facilitator notes, called points for consideration. This unique feature provides valuable insight for understanding the complexities of each case.
  data literacy in education: Big Data in Education Ben Williamson, 2017-07-24 Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!
  data literacy in education: Data Governance John Ladley, 2019-11-08 Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition
  data literacy in education: Street Data Shane Safir, Jamila Dugan, 2021-02-12 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.
  data literacy in education: Close Reading of Informational Texts Sunday Cummins, 2012-11-28 This book has been replaced by Close Reading of Informational Sources, Second Edition, ISBN 978-1-4625-3945-1.
  data literacy in education: Action Research Craig A. Mertler, 2016-06-29 Craig Mertler’s Action Research: Improving Schools and Empowering Educators introduces practicing educators to the process of conducting classroom-based action research. Practical and comprehensive, the book focuses on research methods and procedures that educators can use in their everyday practice. This Fifth Edition adds enhanced coverage of rigor and ethics in action research, means of establishing quality of both quantitative and qualitative data, as well as strengthened pedagogical features. New material includes discussions of social justice advocacy as an application of action research and the inclusion of abstracts in research reports.
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)

Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …

Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …

Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …

Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …

Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …

Advancing Resilience in Low Income Housing Using Climate …
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Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …

Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …

Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …

AN EXAMPLE ACTIVITY TO SUPPORT DATA LITERACY IN …
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Data literacy training and use for educational professionals
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Diving into data: Developing the capacity for data literacy in …
Teachers & Teacher Education; Teaching & Learning Keywords: data use; data literacy; accountability 1. Introduction One pedagogical challenge of the twenty-first century is the …

EDUCATIONAL STATISTICS AT A GLANCE - Ministry of …
Educational Statistics at A Glance 3 Table-1: Indian Population: Census 2001 and 2011 (In Crore) Year >> 2001 2011 Total 102.87 121.06 Male 53.22 62.31 Female 49.65 58.75 Data Source: …

Is Data Literacy a Catalyst of Social Justice? A Response from …
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Data Literacy: A Multidisciplinary Synthesis of the Literature
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Data Point: Adult Literacy in the United States - National …
DATA POINT Adult Literacy in the United States U.S. DEPARTMENT OF EDUCATION. NCES 2019-179. JULY 2019. Using the data from the Program for the International Assessment of …

Rapid shifts in educatorsâ perceptions of data literacy priorities
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NCSI Culturally Responsive Data Literacy - WestEd
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Co-Designing Data Labs at the Public Library: Data Literacy …
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Education - UNICEF
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The Promises, Challenges, and Futures of Media Literacy
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Bangladesh Education Statistics 2022 - banbeis.portal.gov.bd
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Transformation verstehen lernen: Nachhaltigkeitsbildung und …
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Educators’ data literacy: understanding the bigger picture
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Basic Geo-Spatial Data Literacy Education for Economic
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Teacher Digital Literacy Framework - Education Scotland
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Introduction of Artificial Intelligence Literacy and Data …
Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education Viktoriya Olari Till Zoppke Ralf Romeike viktoriya.olari@fu-berlin.de till.zoppke@fu …

Evidence-Based Practices Fact Sheet - literacycenter.ed.gov
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Cultivating a Data Literate Workforce: Considerations for …
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Lessons learned from a two-year experience in science data …
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Making data playable: A game co-creation method to …
on small to mid-sized datasets, can a) help promote data literacy in higher education, b) afford new insights into data beyond the current focus on visual evidence (Beale et al., 2013; Drucker, …

Teaching and Assessing Data Literacy
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2025 Ohio's Plan to Raise Literacy Achievement - Ohio …
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Navigating the Landscape of Data Literacy: It IS Complex - ed
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Data Literacy: How We Prepare for the Future
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How stakeholders’ data literacy contributes to student …
Keywords: Data literacy, Quality in higher education , Stakeholders, Goal-oriented analysis Introduction Data are one of the most significant assets in the era of big data, and data literacy …

Guesteditorial:Specialissue perspectivesondataliteracies
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Data literacy and education: Introduction and the challenges …
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Data Literacy as a Fundamental Component of Artificial …
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Take Ownership of Your Formation’s Data Literacy - Army …
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Nepal Education Fact Sheets I 2022 - UNICEF DATA
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Empowering Digital Natives: InstaClone – a Novel Approach …
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Does teacher’s data literacy and digital teaching ... - Springer
the context of digital competence, only assessed the level of data literacy (Reisoğlu & Çebi, 2020; Zhao et al., 2021). Past studies showed that teachers generally lacked adequate data literacy …

Enhancing Scientific Data Literacy in College Students: …
Data literacy education is a new service territory for many academic libraries. This paper reports our experience from a two-year Science Data Literacy (SDL) project through four areas of …

Data Literacy Education Design Based on Needs of …
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Fostering Data Literacy Teaching with Quantitative Data in …
Fostering Data Literacy Teaching with Quantitative Data in the Social Sciences Dylan Ruedinger Ithaka S+R Daniella Miriam Cooper Ithaka S+R ... “Digital Competence and Digital Literacy in …

Research on Scientific Data Literacy Education System
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A joint statement from Department of Education and the …
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Strategies and Best Practices for Data Literacy Education
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Untangling media literacy, information literacy, and digital …
Data Availability Statement: All relevant data are within the paper and its Supporting Information files. Competing Interests: ... Wuyckens, Landry & Fastrez ǀ Journal of Media Literacy …

Modernizing Professional Military Education in the Digital …
Prompt literacy is a skill that needs to be formally addressed in our professional military education system to ensure the United States Army remains on the cutting edge of technological …

Data Literacy for the Public Sector - Deloitte United States
Explaining Data Literacy: Developing a Shared Definition Data Literacy Realizes the Strategic Value of Government Data Public Sector Data Literacy in Practice: Examples of Pioneering …

The Human Impact of Data Literacy - Accenture
The Data Literacy Index, published in October 2018, was a study conducted by Wharton School Professor Lorin Hitt and IHS Markit on behalf of Qlik 3. Closing the Data Value Gap, published …

Culturally Responsive Data Literacy: Integration into …
Importance of Culturally Responsive Data Literacy 14 • Data use in education has historically been driven by accountability and a deficit model. – Accountability is intimately linked to …

4.3 Education Statistics - Ministry of Statistics and …
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2025 Ohio's Plan to Raise Literacy Achievement - Ohio …
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Literacy Rates Continue to Rise from One Generation to the …
presents the latest available literacy data from the UNESCO Institute for Statistics (UIS) and an overview of national, regional and global trends over ... According to UIS data, the majority of …