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| data literacy assessment questions: 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 assessment questions: Data Literacy in Practice Angelika Klidas, Kevin Hanegan, 2022-11-30 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. |
| data literacy assessment questions: 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 assessment questions: The Adult Literacy and Life Skills (ALL) Survey Paul Satherley, Elliot Lawes, New Zealand. Comparative Education Research Unit, 2009 |
| data literacy assessment questions: Essential Readings in Problem-based Learning Andrew Elbert Walker, Heather Leary, Cindy E. Hmelo-Silver, Peggy A. Ertmer, 2015 This book surveys the state of problem-based learning and assesses the impact of this innovative educational methodology on teaching and research effectiveness across a range of disciplines and in a variety of organizational contexts. |
| data literacy assessment questions: 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 assessment questions: 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 assessment questions: 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 assessment questions: Measures of Health Literacy Institute of Medicine, Board on Population Health and Public Health Practice, Roundtable on Health Literacy, 2009-12-30 Health literacy-the ability for individuals to obtain, process, and understand basic health information and services to facilitate appropriate health decisions-is increasingly recognized as an important facet of health care and health outcomes. Although research on health literacy has grown tremendously in the past decade, there is no widely agreed-upon framework for health literacy as a determinant of health outcomes. Most instruments focus on assessing an individual's health literacy, yet the scope of health literacy reaches far beyond an individual's skills and abilities. Health literacy occurs in the context of the health care system, and therefore measures of health literacy must also assess the demands and complexities of the health care systems with which patients interact. For example, measures are needed to determine how well the system has been organized so that it can be navigated by individuals with different levels of health literacy and how well health organizations are doing at making health information understandable and actionable. To examine what is known about measures of health literacy, the Institute of Medicine convened a workshop. The workshop, summarized in this volume, reviews the current status of measures of health literacy, including those used in the health care setting; discusses possible surrogate measures that might be used to assess health literacy; and explores ways in which health literacy measures can be used to assess patient-centered approaches to care. |
| data literacy assessment questions: AI & Data Literacy Bill Schmarzo, 2023-07-26 Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world. Purchase of the print or Kindle book includes a free PDF eBook Key Features Prepare for a future dominated by AI and big data Enhance your AI and data literacy with real-world examples Learn how to leverage AI and data to address current and future challenges Book DescriptionAI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.What you will learn Get to know the fundamentals of data literacy, privacy, and analytics Find out what makes AI tick and the role of the AI utility function Make informed decisions using prominent decision-making frameworks Understand relevant statistics and probability concepts Create new sources of value by leveraging and applying AI and data Apply ethical parameters to AI development with real-world examples Find out how to get the most out of ChatGPT and its peers Who this book is forThis book is designed to benefit everyone from students to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their AI and Data literacy. |
| data literacy assessment questions: 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 assessment questions: Using Data to Improve Student Learning Graham S. Maxwell, 2021-04-21 This book offers a coherent research-based overview and analysis of theories and practices in using data to improve student learning. It clarifies what 'use of data' means and differentiates the different levels of decision-making in education (relating to the system, district, school, classroom, or individual student). The relationship between data and decision-making is considered and various movements in the use of data to improve student learning are analysed, especially from the perspective of their assumptions and effects. This leads to a focus on effective educational decision-making as a social process requiring collaboration among all relevant participants. It also requires a clear understanding of educational aims, and these are seen to transcend what can be assessed by standardised tests. The consequences of this analysis for decision processes are explored and conclusions are drawn about what principles might best guide educational practice as well as what ambiguities remain. Throughout, the focus is on what existing research says about each of the issues explored. |
| data literacy assessment questions: Data and Analytics in Accounting Ann C. Dzuranin, Guido Geerts, Margarita Lenk, 2023-12-25 |
| data literacy assessment questions: National nutrition information systems. Technical note: the power of nutrition dashboards, scorecards and profiles World Health Organization, United Nations Children's Fund, 2024-01-12 This series of technical notes is produced on different topics of a national nutrition information system (NNIS) that are included in the first-ever global guidance on NNIS published in 2021. While the fundamental modules of the guidance describe the basics of a NNIS, each technical note deals with a specific topical area and presents details on those topics. The technical notes will help design and implement a NNIS and/or integrate a nutrition information system in the existing health management information system. Making data understandable to stakeholders is key to influencing and informing decision-making on nutrition policies and programmes. Dashboards, scorecards, and profiles are commonly used to facilitate data use. This technical note provides a set of useful tips and reflection questions for those seeking to develop effective data visuals for nutrition audiences. |
| data literacy assessment questions: ICOPE 2020 Ryzal Perdana, Gede Eka Putrawan, Sunyono, 2021-03-24 We are delighted to introduce the Proceedings of the Second International Conference on Progressive Education (ICOPE) 2020 hosted by the Faculty of Teacher Training and Education, Universitas Lampung, Indonesia, in the heart of the city Bandar Lampung on 16 and 17 October 2020. Due to the COVID-19 pandemic, we took a model of an online organised event via Zoom. The theme of the 2nd ICOPE 2020 was “Exploring the New Era of Education”, with various related topics including Science Education, Technology and Learning Innovation, Social and Humanities Education, Education Management, Early Childhood Education, Primary Education, Teacher Professional Development, Curriculum and Instructions, Assessment and Evaluation, and Environmental Education. This conference has invited academics, researchers, teachers, practitioners, and students worldwide to participate and exchange ideas, experiences, and research findings in the field of education to make a better, more efficient, and impactful teaching and learning. This conference was attended by 190 participants and 160 presenters. Four keynote papers were delivered at the conference; the first two papers were delivered by Prof Emeritus Stephen D. Krashen from the University of Southern California, the USA and Prof Dr Bujang Rahman, M.Si. from Universitas Lampung, Indonesia. The second two papers were presented by Prof Dr Habil Andrea Bencsik from the University of Pannonia, Hungary and Dr Hisham bin Dzakiria from Universiti Utara Malaysia, Malaysia. In addition, a total of 160 papers were also presented by registered presenters in the parallel sessions of the conference. The conference represents the efforts of many individuals. Coordination with the steering chairs was essential for the success of the conference. We sincerely appreciate their constant support and guidance. We would also like to express our gratitude to the organising committee members for putting much effort into ensuring the success of the day-to-day operation of the conference and the reviewers for their hard work in reviewing submissions. We also thank the four invited keynote speakers for sharing their insights. Finally, the conference would not be possible without the excellent papers contributed by authors. We thank all authors for their contributions and participation in the 2nd ICOPE 2020. We strongly believe that the 2nd ICOPE 2020 has provided a good forum for academics, researchers, teachers, practitioners, and students to address all aspects of education-related issues in the current educational situation. We feel honoured to serve the best recent scientific knowledge and development in education and hope that these proceedings will furnish scholars from all over the world with an excellent reference book. We also expect that the future ICOPE conference will be more successful and stimulating. Finally, it was with great pleasure that we had the opportunity to host such a conference. |
| data literacy assessment questions: Information and Data Literacy Joyce Hagen-McIntosh, 2016-01-05 In an age where data flows non-stop, across all geographic borders and accessible to many, the job of providing information literacy has become much more exciting, more complicated, and more necessary. Information and Data Literacy: The Role of the Library takes a comprehensive look at the changing role of today’s librarians and libraries in an increasingly tech-driven world. You’ll find the authors of this book represent public and academic libraries, countries around the globe, and differences of opinion as to the definition, purpose, charge, and success of providing information and data literacy. The book is divided into several parts, covering: Understanding the role of information and data literacy in the library The new and changing roles for librarians Methods for promoting information and data literacy New challenges for the library in the new information environment The need for information and data literacy for marginalized populations, including the homeless, those in rural settings, sexual minorities, and others Addressing the trends and challenges at different types of libraries, the volume provides an overview of information and data literacy in the library and offers an array of perspectives. Topics cover: The role of the public library as a community hub Student information literacy in the mobile environment Information literacy in schools How the information landscape has changed library reference services Library instruction and exercises to promote information literacy for both traditional students and those in continuing education Edited by a consultant with the Freedom to Read Foundation who is a former outreach and assistive technology librarian, the book offers a wealth of information for beginning librarians as well as for seasoned library professionals looking for new methods to evaluate and promote data and information literacy. |
| data literacy assessment questions: Product Direction Nacho Bassino, 2021-03-29 How do you identify, select and define the right Product Strategy? How do you connect it to execution and align the entire company towards the same goals?Making great products is hard. Interdisciplinary teams must discover and deliver the right solutions to delight customers while creating a sustainable business model. But that is not enough to succeed. Product Leaders must play a critical role: they must identify the problems and opportunities most crucial to delight customers while creating a sustainable business. They must also align teams toward them. But how?How do you come up with the right insights and select the most promising opportunities?How does a successful product strategy look? Who has to define it?How do you focus product teams and the entire organization in the same direction?Product Direction is a practical approach to solve these problems, based on artifacts, tools, and best practices, to define, link, and communicate your product strategy, strategic roadmap, and objectives. These tools will help you:? Multiply your results, with increased team alignment and autonomy.? Align everyone on the right opportunities, and ignore other distractions. |
| data literacy assessment questions: Lone Star Politics Ken Collier, Steven Galatas, Julie Harrelson-Stephens, 2018-11-29 I really love this textbook. It is easy to read and flows logically. [...] as far as an assigned reading book for a face-to-face lecture goes, the book is top notch. —Brian Naples, Panola College In Texas, myth often clashes with the reality of everyday government. Explore the state′s rich political tradition with Lone Star Politics as this local author team explains who gets what and how. Utilizing the comparative method, the authors set Texas in context with other states′ constitutions, policymaking, electoral practices, and institutions as they delve into the evolution of its politics. Critical thinking questions and unvarnished Winners and Losers discussions guide students toward understanding Texas government and assessing the state′s political landscape. The Sixth Edition expands its coverage on civil rights in the state, as well as contemporary issues highlighting the push-pull relationship between the state and federal and local governments. A Complete Teaching & Learning Package Interactive eBook Includes access to video, multimedia tools, and much more! Save when you bundle the interactive eBook with the new edition. Order using bundle ISBN: 978-1-5443-6568-8. Learn more. SAGE coursepacks FREE! Easily import our quality instructor and student resource content into your school’s learning management system (LMS) and save time. Learn more. SAGE edge FREE online resources for students that make learning easier. See how your students benefit. Bundle and save! When bundled with the new edition of Lone Star Politics, your students can receive the following books from our trending topics series for free. Texas State and Local Media: Use Bundle ISBN 978-1-5443-6542-8 The Learning Outcomes Guide to accompany Lone Star Politics Use Bundle ISBN 978-1-5443-2167-7 |
| data literacy assessment questions: Assessment in Perspective Clare Landrigan, Tammy Mulligan, 2013 Assessment is an integral part of instruction. For the past decade, the focus on assessment--particularly via high-stakes mandated tests--has shifted away from the classroom and left teachers feeling like they are drowning in data. Assessment is, and needs to be again, much more than a number. Assessment in Perspective is about moving beyond the numbers and using assessment to find the stories they tell. This book helps teachers sort through the myriad of available assessments and use each to understand different facets of their readers. It discusses how to use a range of assessment types--from reading conference notes and student work to running records and state tests--together to uncover the strengths and weaknesses of a reader. The authors share a framework for thinking about the purpose, method, and types of different assessments. They also address the questions they ask when choosing or analyzing assessments: - What type of tool do we need: diagnostic, formative, or summative; formal or informal; quantitative or qualitative? - How do we use multiple assessments together to provide an in-depth picture of a reader? - When and how are we giving the assessment? - Do we want to be able to compare our readers to a standard score, or do we need to diagnose a reader's needs? - Which area of reading does this tool assess? - How can we use the information from assessments to inform our instruction? - What information does a particular assessment tell us, and what doesn't it tell us? - What additional information do we need about a reader to understand his or her learning needs? The book emphasizes the importance of triangulating data by using varied sources, both formal and informal, and across multiple intervals. It explains the power of looking at different types of assessments side-by-side with displays to find patterns or inconsistencies. What's more, students are included as valuable sources of data. Letting students in on the process of assessment is key to helping them set goals, monitor their own progress, and celebrate growth. When assessment is viewed in this way, instruction can meet high standards and still be developmentally appropriate. |
| data literacy assessment questions: Data Leadership for K-12 Schools in a Time of Accountability Mense, Evan G., Crain-Dorough, Mindy, 2017-12-15 The monitoring of data within educational institutions is essential to ensure the success of its students and faculty. By continually analyzing data, educational leaders can increase quality and productivity in their institutions. Data Leadership for K-12 Schools in a Time of Accountability explores techniques and processes of educational data analysis and its application in developing solutions and systems for instructional concerns and next-generation learning. Providing extensive research covering areas such as data-driven culture, student accountability, and data dissemination, this unique reference is essential for principals, administrators, practitioners, academicians, students, and educational consultants looking to maximize their institution’s performance. |
| data literacy assessment questions: Exploring classroom assessment practices and teacher decision-making Dennis Alonzo, Chris Davison, Chris Ann Harrison, 2023-05-25 |
| data literacy assessment questions: Data Literacy in Academic Libraries Julia Bauder, 2021-06-22 The strategies and initiatives detailed in this book will empower data librarians, information literacy instructors, library liaisons, and reference staff to successfully incorporate data literacy into their work. |
| data literacy assessment questions: Literacy in Teacher Preparation and Practice Patrick M. Jenlink, 2022-04-01 Today, the meaning of literacy, what it means to be literate, has shifted dramatically. Literacy involves more than a set of conventions to be learned, either through print or technological formats. Rather, literacy enables people to negotiate meaning. The past decade has witnessed increased attention on multiple literacies and modalities of learning associated with teacher preparation and practice. Research recognizes both the increasing cultural and linguistic diversity in the new globalized society and the new variety of text forms from multiple communicative technologies. There is also the need for new skills to operate successfully in the changing literate and increasingly diversified social environment. Linguists, anthropologists, educators, and social theorists no longer believe that literacy can be defined as a concrete list of skills that people merely manipulate and use. Rather, they argue that becoming literate is about what people do with literacy—the values people place on various acts and their associated ideologies. In other words, literacy is more than linguistic; it is political and social practice that limits or creates possibilities for who people become as literate beings. Such understandings of literacy have informed and continue to inform our work with teachers who take a sociological or critical perspective toward literacy instruction. Importantly, as research indicates, the disciplines pose specialized and unique literacy demands. Disciplinary literacy refers to the idea that we should teach the specialized ways of reading, understanding, and thinking used in each academic discipline, such as science, mathematics, engineering, history, or literature. Each field has its own ways of using text to create and communicate meaning. Accordingly, as children advance through school, literacy instruction should shift from general literacy strategies to the more specific or specialized ones from each discipline. Teacher preparation programs emphasizing different disciplinary literacies acknowledge that old approaches to literacy are no longer sufficient. Literacy in Teacher Preparation and Practice: Enabling Individuals to Negotiate Meaning introduces the reader to a collection of thoughtful, research-based works by authors that represent current thinking about literacy across disciplines and the preparation of teachers to enter classrooms. Each chapter focuses on teaching guided by literacies across disciplines and the preparation of teachers who will enter classrooms to instruct the next generation of students. |
| data literacy assessment questions: Leading Schools in a Data-Rich World Lorna M. Earl, Steven Katz, 2006-02-01 Turn skepticism about data into knowledge for true educational reform! More versatile than mere number crunching and statistics, data can be an effective tool—or even a powerful catalyst—for change within a school. By replacing cynicism with conviction, learning to harness data′s power, and becoming good users of data to positively impact student achievement, school leaders can develop three crucial capacities: an inquiry habit of mind, data literacy, and a culture of inquiry. Lorna M. Earl and Steven Katz show educators how to become comfortable with data, and provide valuable tools for school improvement teams to use in their work, including: Vignettes to support group discussion Activities for practicing the ideas and concepts in the book Task sheets Short case studies with actual school data that show how the full process works in a school To improve schools, data can and should be a vital force in the change process. Using this essential resource, school leaders, school teams, study groups, and students of education can all make sense of data to plan and reform for maximum benefit. |
| data literacy assessment questions: Connecting People with Jobs Modernising Latvia’s Public Employment Service through Digitalisation OECD, 2024-05-24 Latvia’s public employment service, the State Employment Agency (SEA), is undertaking a modernisation of its service delivery. This review discusses the SEA’s digitalisation needs and strategy to guide its modernisation efforts. It provides a detailed assessment of the SEA’s digital infrastructure and key recommendations concerning its IT system, analytical capacity and digital tools for jobseekers and employers. This report on Latvia is the fourteenth country study published in this series. |
| data literacy assessment questions: The New Teacher's Guide to Overcoming Common Challenges Anna M. Quinzio-Zafran, Elizabeth A. Wilkins, 2020-10-29 This practical, hands-on guidebook offers support for your first years in the classroom by presenting strategies to overcome ten common challenges. Expertly curated by experienced educators, this book delivers quick access to timely advice, applicable across a range of educational settings. With contributions from National Board-Certified Teachers, National Teachers of the Year, and other educators involved in robust induction and mentoring programs, The New Teacher’s Guide to Overcoming Common Challenges provides: Wise and practical tips from accomplished veterans and successful new teachers from across rural, suburban, and urban settings; Web access to an online teacher community and customizable resources created by the book’s authors that can be quickly downloaded for immediate use in the classroom; Newly commissioned material that addresses the shift to remote learning brought about by the world pandemic. Accessible and stimulating, this book is designed for a wide range of users, including PK-12 school districts who offer new teacher induction programming, traditional and alternative teacher preparation programs and teacher cadet programs, and individual in-service teachers. Don’t face the challenges alone—learn from those who have been there! |
| data literacy assessment questions: Federal Register , 2012-03 |
| data literacy assessment questions: Deep Fakes, Fake News, and Misinformation in Online Teaching and Learning Technologies Blankenship, Rebecca J., 2021-06-25 Choosing the right technologies to match student learning outcomes in today's technology-integrated classrooms presents educators and instructional designers with multiple curricula and instructional design challenges including selecting appropriate technologies to match desired student learning outcomes. As students continue to have broad access to information from a variety of web-based platforms, educators and educational professionals are increasingly tasked with ensuring the information used to complete key assignments or tasks is authentic and from a verifiable resource. As such, the era of deep fakes in images, audios, videos, and digital texts is more prevalent than ever as numerous programs using artificial intelligence (AI) can significantly alter original content to fundamentally change the intent of original content. Moreover, students are being bombarded by a plethora of information that is either intentionally or mistakenly false and must be navigated with care. Accordingly, educators and educational professionals are now tasked with employing best practices to not only teach basic digital literacy and citizenship skills but also to recognize how technology-immersed learning environments interact with deep fakes and misinformation while equipping students with the tools necessary to recognize authentic and altered content. Deep Fakes, Fake News, and Misinformation in Online Teaching and Learning Technologies is a critical reference source that addresses rising concerns of students’ ability to navigate the multitude of false and altered information and content that is easily accessible through online platforms. The chapters go into deeper detail about how deep fakes, fake news, and mis- and dis-information have the potential of negatively affecting the fields of teaching and learning and the importance of student access to content-related tasks from legitimate, vetted resources that accurately reflect the desired information the student means to convey. The book seeks to reinforce the importance of digital literacy and digital citizenship among adolescents. This book is essential for teaching faculty, higher education faculty, higher education administrators, educational software developers, security specialists, information specialists, media specialists, librarians, educational researchers, and students looking for information on how deep fakes and fake news are being navigated within the context of online teaching and educational technologies. |
| data literacy assessment questions: 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 assessment questions: The SAGE Encyclopedia of Contemporary Early Childhood Education Donna Couchenour, J. Kent Chrisman, 2016-08-16 The general public often views early childhood education as either simply “babysitting” or as preparation for later learning. Of course, both viewpoints are simplistic. Deep understanding of child development, best educational practices based on development, emergent curriculum, cultural competence and applications of family systems are necessary for high-quality early education. Highly effective early childhood education is rare in that it requires collaboration and transitions among a variety of systems for children from birth through eight years of age. The SAGE Encyclopedia of Contemporary Early Childhood Education presents in three comprehensive volumes advanced research, accurate practical applications of research, historical foundations and key facts from the field of contemporary early childhood education. Through approximately 425 entries, this work includes all areas of child development – physical, cognitive, language, social, emotional, aesthetic – as well as comprehensive review of best educational practices with young children, effective preparation for early childhood professionals and policy making practices, and addresses such questions as: · How is the field of early childhood education defined? · What are the roots of this field of study? · How is the history of early childhood education similar to yet different from the study of public education? · What are the major influences on understandings of best practices in early childhood education? |
| data literacy assessment questions: International Practices to Promote Budget Literacy Harika Masud, Helene Pfeil, Sanjay Agarwal, Alfredo Gonzalez Briseno, 2017-06-28 Budget literacy is defined as 'the ability to read, decipher, and understand public budgets to enable and enhance meaningful citizen participation in the budget process'. It is comprised of two main parts - (i) a technical understanding of public budgets, including familiarity with government spending, tax rates and public debt and; (ii) the ability to engage in the budget process, comprising of practical knowledge on day-to-day issues, as well as an elementary understanding of the economic, social and political implications of budget policies, the stakeholders involved and when and how to provide inputs during the annual budget cycle. Given that no international standards or guidelines have been established for budget literacy education to date, this book seeks to address this gap by taking stock of illustrative initiatives promoting budget literacy for youth in selected countries. The underlying presumption is that when supply-side actors in the budget process -- governments -- simplify and disseminate budget information for demand-side actors -- citizens -- this information will then be used by citizens to provide feedback on the budget. However, since citizens are often insufficiently informed about public budgets to constructively participate in budget processes one way to empower them and to remedy the problem of budget illiteracy is to provide budget-literacy education in schools to youth, helping them evolve into civic-minded adults with the essential knowledge needed for analyzing their government's fiscal policy objectives and measures, and the confidence and sense of social responsibility to participate in the oversight of public resources. This book elaborates on approaches, learning outcomes, pedagogical strategies and assessment approaches for budget literacy education, and presents lessons that are relevant for the development, improvement, or scaling up of budget literacy initiatives. |
| data literacy assessment questions: 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 assessment questions: The Practice of Authentic PLCs Daniel R. Venables, 2011-01-11 This text illustrates the essence of what it really means to be a teacher—to care deeply and to think and act collectively about student and teacher learning. —Barrie Bennet, Professor OISE/University of Toronto, Ontario Daniel Venables has made a terrific contribution to the growing effort of teachers to educate ourselves in professional learning communities through protocols that focus our attention on the right stuff. Happily his writing is as accessible as his material is useful and his insights fresh. —Joseph P. McDonald, Professor of Teaching and Learning and author of The Power of Protocols New York University Discover the keys to building effective, authentic PLCs Creating an authentic professional learning community requires breaking down the walls of isolation and collaborating to improve student learning, because collectively we are more than the sum of our parts. Grounded in the award-winning author′s foundational work with the Coalition of Essential Schools, this book enables educators to hit the ground running with a research-based process that includes: Setting the foundation for collaboration and team building Facilitating protocols Examining student and teacher work Implementing teacher-designed common formative assessments Analyzing and responding to data Educators will find numerous strategies, activities, exercises, and guidance for PLC leaders, including FAQs and a troubleshooting guide to common obstacles. When teachers are given the time, tools, and power to improve instruction, everyone benefits. |
| data literacy assessment questions: Formative Assessment Leadership Karen L. Sanzo, Steve Myran, John Caggiano, 2014-09-23 This exciting new book is for school leaders who are interested in transforming their school and district practices. Discussing issues that impact students, teachers within their classrooms, and the larger school community, Formative Assessment Leadership explores how leaders can implement effective professional development and positive change in their schools. Breaking down formative assessment into manageable, understandable parts, the authors provide: An exploration of what formative data-based decision making looks like Scaffolding that enables school leaders to effectively integrate processes into their own school structure Discussion of potential barriers to success and how to overcome these challenges Practical examples that help ground the formative assessment leadership concepts A range of worksheets and templates to help implement formative assessment leadership in your schools |
| data literacy assessment questions: School Library Management Gail K. Dickinson, Judi Repman, 2015-01-26 This book compiles selected articles from Library Media Connection to help school librarians and pre-service librarians learn about how to implement best practices for school library management. At a time when budget cuts threaten the role of the school librarian, dynamic learning experiences can resurrect the usefulness of the library and the role of its staff. The seventh edition of this popular book helps librarians develop engaging school library programs for greater student involvement. Comprised of important articles from Library Media Connection (LMC), School Library Management: Seventh Edition is a compilation of best practices in the field of school library management. An excellent textbook for professors teaching LIS courses, the book contains updates to standards and technologies, and features the latest initiatives guiding practices, including Standards for the 21st Century Learner and Empowering Learners: Guidelines for School Library Programs. Each of the book's five sections features helpful tips from LMC and lists relevant resources for school library management. Selected articles address standards, inquiry, ethics, and information literacy. The book also includes a focus on the role of the school librarian in designing authentic assessments. |
| data literacy assessment questions: Using Data to Improve Learning for All Nancy Love, 2009 Collaborative inquiry + effective use of data = significant leaps in learning and achievement! This resource combines a powerful collaborative inquiry process, reflective dialogue, and rigorous use of data to improve outcomes for all students. The editor and contributors provide detailed examples of schools that have demonstrated dramatic gains by building collaborative cultures, nurturing ongoing inquiry, and using data systematically. The book shows school leaders how to: Implement collaborative inquiry to meet accountability mandates Build and support a high-performing data culture Establish a school climate characterized by collective responsibility for student learning and a respect for students’ cultures |
| data literacy assessment questions: 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 assessment questions: Data Management Margaret E. Henderson, 2016-10-25 Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: Understanding data management basics and best practices. Using the reference interview to help with data management Writing data management plans for grants. Starting and growing a data management service. Finding collaborators inside and outside the library. Collecting and using data in different disciplines. |
| data literacy assessment questions: 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 assessment questions: Becoming Critical Teacher Educators Julie Ellison Justice, F. Blake Tenore, 2017-06-26 The personal and professional are woven together in this collection of scholarly narratives by teacher educators who share their early critical experiences and model teaching practices to support continued resistance and possibilities in teacher education. Each chapter suggests practical tools and encourages readers to reflect on their own journeys of becoming transformational teacher educators. |
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 …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
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 …
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 …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
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 …
