| data cycle 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 cycle 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 cycle in education: Driven by Data Paul Bambrick-Santoyo, 2010-04-12 Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD. |
| data cycle 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 cycle in education: Dear Data Giorgia Lupi, Stefanie Posavec, 2016-09-13 Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates the infinitesimal, incomplete, imperfect, yet exquisitely human details of life, in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere. |
| data cycle in education: Driven by Data 2.0 Paul Bambrick-Santoyo, 2019-04-16 The bestselling guide for school leaders—updated in a new edition Data-driven instruction is the philosophy that schools should focus on two simple questions: how do you know if are students learning? And when they are not, what do you do about it? Driven by Data 2.0 is a practical guide that answers these questions to empower schools to achieve significant gains in student achievement. Rooted in a proven framework that has been implemented in thousands of schools, the book presents what makes schools successful along with tools to put the framework into place to make data work for your schools: Assess—set the roadmap for learning Analyze—identify why students struggle Act—teach more effectively what students need Build the culture—train and develop your staff so that data-driven instruction can thrive If you’re a K – 12 leader, coach, or teacher looking to implement data-driven instruction in your school district, Driven by Data 2.0 has the tools to train your staff: PD materials, videos of exemplar practice and all the resources you need to achieve remarkable results. |
| data cycle 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 cycle 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 cycle in education: Explicit Direct Instruction (EDI) John R. Hollingsworth, Silvia E. Ybarra, 2009 A proven method for better teaching, better learning, and better test scores! This teacher-friendly book presents a step-by-step approach for implementing the Explicit Direct Instruction (EDI) approach in diverse classrooms. Based on educational theory, brain research, and data analysis, EDI helps teachers deliver effective lessons that can significantly improve achievement all grade levels. The authors discuss characteristics of EDI, such as checking for understanding, lesson objectives, activating prior knowledge, concept and skills development, and guided practice, and provide: Clearly defined lesson design components Detailed sample lessons Easy-to-follow lesson delivery strategies Scenarios that illustrate what EDI techniques look like in the classroom |
| data cycle 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 cycle in education: Developing Learner-Centered Teaching Phyllis Blumberg, 2017-07-27 Developing Learner-Centered Teaching offers a step-by-step plan for transforming any course from teacher-centered to the more engaging learner-centered model. Filled with self-assessments and worksheets that are based on each of the five practices identified in Maryellen Weimer's Learner-Centered Teaching, this groundbreaking book gives instructors, faculty developers, and instructional designers a practical and effective resource for putting the learner-centered model into action. |
| data cycle in education: Contemporary Technologies in Education Olusola O. Adesope, A.G. Rud, 2018-11-08 This edited volume provides a critical discussion of theoretical, methodological, and practical developments of contemporary forms of educational technologies. Specifically, the book discusses the use of contemporary technologies such as the Flipped Classroom (FC), Massive Open Online Course (MOOC), Social Media, Serious Educational Games (SEG), Wikis, innovative learning software tools, and learning analytic approach for making sense of big data. While some of these contemporary educational technologies have been touted as panaceas, researchers and developers have been faced with enormous challenges in enhancing the use of these technologies to arouse student attention and improve persistent motivation, engagement, and learning. Hence, the book examines how contemporary technologies can engender student motivation and result in improved engagement and learning. Each chapter also discusses the road ahead and where appropriate, uses the current trend to predict future affordances of technologies. |
| data cycle in education: The Knowledge Gap Natalie Wexler, 2020-08-04 The untold story of the root cause of America's education crisis--and the seemingly endless cycle of multigenerational poverty. It was only after years within the education reform movement that Natalie Wexler stumbled across a hidden explanation for our country's frustrating lack of progress when it comes to providing every child with a quality education. The problem wasn't one of the usual scapegoats: lazy teachers, shoddy facilities, lack of accountability. It was something no one was talking about: the elementary school curriculum's intense focus on decontextualized reading comprehension skills at the expense of actual knowledge. In the tradition of Dale Russakoff's The Prize and Dana Goldstein's The Teacher Wars, Wexler brings together history, research, and compelling characters to pull back the curtain on this fundamental flaw in our education system--one that fellow reformers, journalists, and policymakers have long overlooked, and of which the general public, including many parents, remains unaware. But The Knowledge Gap isn't just a story of what schools have gotten so wrong--it also follows innovative educators who are in the process of shedding their deeply ingrained habits, and describes the rewards that have come along: students who are not only excited to learn but are also acquiring the knowledge and vocabulary that will enable them to succeed. If we truly want to fix our education system and unlock the potential of our neediest children, we have no choice but to pay attention. |
| data cycle in education: Unconditional Education Robin Detterman, Jenny Ventura, Lihi Rosenthal, Ken Berrick, 2019-03-19 After decades of reform, America's public schools continue to fail particular groups of students; the greatest opportunity gaps are faced by those whose achievement is hindered by complex stressors, including disability, trauma, poverty, and institutionalized racism. When students' needs overwhelm the neighborhood schools assigned to serve them, they are relegated to increasingly isolated educational environments. Unconditional Education (UE) offers an alternate approach that transforms schools into communities where all students can thrive. It reduces the need for more intensive and costly future remediation by pairing a holistic, multi-tiered system of supports with an intentional focus on overall culture and climate, and promotes systematic coordination and integration of funding and services by identifying gaps and eliminating redundancies to increase the efficient allocation of available resources. This book is an essential resource for mental health and educational stakeholders (i.e., school social workers, therapists, teachers, school administrators, and district-level leaders) who are interested in adopting an unconditional approach to supporting the students within their schools. |
| data cycle in education: Flash Feedback [Grades 6-12] Matthew Johnson, 2020-02-11 Beat burnout with time-saving best practices for feedback For ELA teachers, the danger of burnout is all too real. Inundated with seemingly insurmountable piles of papers to read, respond to, and grade, many teachers often find themselves struggling to balance differentiated, individualized feedback with the one resource they are already overextended on—time. Matthew Johnson offers classroom-tested solutions that not only alleviate the feedback-burnout cycle, but also lead to significant growth for students. These time-saving strategies built on best practices for feedback help to improve relationships, ignite motivation, and increase student ownership of learning. Flash Feedback also takes teachers to the next level of strategic feedback by sharing: How to craft effective, efficient, and more memorable feedback Strategies for scaffolding students through the meta-cognitive work necessary for real revision A plan for how to create a culture of feedback, including lessons for how to train students in meaningful peer response Downloadable online tools for teacher and student use Moving beyond the theory of working smarter, not harder, Flash Feedback works deeper by developing practices for teacher efficiency that also boost effectiveness by increasing students’ self-efficacy, improving the clarity of our messages, and ultimately creating a classroom centered around meaningful feedback. |
| data cycle in education: Using Data to Support Learning in Schools Gabrielle Matters, 2006 Examines the issues raised by the ACER Research Conference 2005. Analyses conference papers, distils essence of conference 'conversations' and contextualises them in the light of Australian and international literature. |
| data cycle in education: Data-Driven Leadership Amanda Datnow, Vicki Park, 2014-03-10 Tools and techniques from the trailblazers in data-based education reform Over a period of several years, Amanda Datnow and Vicki Park visited public schools with a reputation for being ahead of the pack in data-driven decision making. The results of this pioneering study reveal how education leaders can make data work for students and teachers, rather than against them. This book is an essential guide to meeting the challenges of high-stakes accountability, building performance-based schools, and improving student outcomes. By following the advice in this book, you’ll be able to transform data overload into a data-positive school culture. You’ll learn the difference between “data-driven leadership” and “data-informed leadership,” and how to use distributed leadership to inspire collaboration and guided analysis. Incorporating narrative reflections drawn from real educators and administrators, the authors refine their observations and interviews into practical conclusions that leaders can put to use immediately. This book empowers leaders to support inquiry, build trust in data-based initiatives, establish goals for evidence use, and provide educators with the skills they need to mobilize data for the good of all stakeholders. “Datnow and Park’s ideas are easily accessible and grounded in clear examples, and their seven ‘calls’ about what needs to be done nail the problem and the solutions. Use this book as your action guide and you’ll be rewarded with better results in student learning.” —Michael Fullan, professor emeritus, University of Toronto “Datnow and Park uncover, at last, what it means to use data to inform leadership. Documenting the four P’s (people, policies, practices, and patterns) in schools, we learn about the organization and dynamics of reform informed by data. A must read!” —Ann Lieberman, senior scholar, Stanford University |
| data cycle in education: Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) Anna Bargagliotti, Christine Franklin, Pip Arnold, Rob Gould, 2020 This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education-- |
| data cycle in education: Using Data to Improve Learning Anthony Shaddock, 2014-02-01 Using Data to Improve Learning: A practical guide for busy teachers |
| data cycle in education: National Educational Technology Standards for Students International Society for Technology in Education, 2007 This booklet includes the full text of the ISTE Standards for Students, along with the Essential Conditions, profiles and scenarios. |
| data cycle in education: The Impact Cycle Jim Knight, 2017-07-28 Jim Knight introduces an all-new instructional coaching cycle for ensuring teachers and, in turn, their students improve in clear, measurable ways. |
| data cycle in education: The Fast Track to New Skills María Marta Ferreyra, Lelys Dinarte Díaz, Sergio Urzúa, 2021-11-09 Short-cycle higher education programs (SCPs) form skilled human capital in two or three years. Through original empirical research, this book explores SCPs? outcomes and returns, their supply, and what makes them good. It draws attention towards a higher education sector that has been typically overlooked in research and policy. |
| data cycle in education: Understanding by Design Grant P. Wiggins, Jay McTighe, 2005 What is understanding and how does it differ from knowledge? How can we determine the big ideas worth understanding? Why is understanding an important teaching goal, and how do we know when students have attained it? How can we create a rigorous and engaging curriculum that focuses on understanding and leads to improved student performance in today's high-stakes, standards-based environment? Authors Grant Wiggins and Jay McTighe answer these and many other questions in this second edition of Understanding by Design. Drawing on feedback from thousands of educators around the world who have used the UbD framework since its introduction in 1998, the authors have greatly revised and expanded their original work to guide educators across the K-16 spectrum in the design of curriculum, assessment, and instruction. With an improved UbD Template at its core, the book explains the rationale of backward design and explores in greater depth the meaning of such key ideas as essential questions and transfer tasks. Readers will learn why the familiar coverage- and activity-based approaches to curriculum design fall short, and how a focus on the six facets of understanding can enrich student learning. With an expanded array of practical strategies, tools, and examples from all subject areas, the book demonstrates how the research-based principles of Understanding by Design apply to district frameworks as well as to individual units of curriculum. Combining provocative ideas, thoughtful analysis, and tested approaches, this new edition of Understanding by Design offers teacher-designers a clear path to the creation of curriculum that ensures better learning and a more stimulating experience for students and teachers alike. |
| data cycle 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 cycle in education: From Children's Interests to Children's Thinking Jane Tingle Broderick, Seong Bock Hong, 2020-06-30 Learn how to connect your curriculum planning to children's interests and thinking. With this book, educators will discover a systematic way for using documentation to design curriculum that emerges from children's inquiries, what they wonder, and what they want to understand. Get strategies for designing a classroom environment at the start of the year to facilitate emergent inquiry curriculum. Each chapter guides teachers to document and reflect on their thinking through each of the five phases of a cycle of inquiry process, including observing, interpreting the meaning of the play they see, and developing questions to engage children. |
| data cycle in education: Instructional Coaching Jim Knight, 2007-05-01 An innovative professional development strategy that facilitates change, improves instruction, and transforms school culture! Instructional coaching is a research-based, job-embedded approach to instructional intervention that provides the assistance and encouragement necessary to implement school improvement programs. Experienced trainer and researcher Jim Knight describes the nuts and bolts of instructional coaching and explains the essential skills that instructional coaches need, including getting teachers on board, providing model lessons, and engaging in reflective conversations. Each user-friendly chapter includes: First-person stories from successful coaches Sidebars highlighting important information A Going Deeper section of suggested resources Ready-to-use forms, worksheets, checklists, logs, and reports |
| data cycle in education: The Power of Inquiry Kath Murdoch, 2015 |
| data cycle in education: Evaluating Professional Development Thomas R. Guskey, 2000 Explains how to better evaluate professional development in order to ensure that it increases student learning, providing questions for accurate measurement of professional development and showing how to demonstrate results and accountability. |
| data cycle in education: Spin Cycle Jeffrey R. Henig, 2008-02-13 One important aim of social science research is to provide unbiased information that can help guide public policies. However, social science is often construed as politics by other means. Nowhere is the polarized nature of social science research more visible than in the heated debate over charter schools. In Spin Cycle, noted political scientist and education expert Jeffrey Henig explores how controversies over the charter school movement illustrate the use and misuse of research in policy debates. Henig's compelling narrative reveals that, despite all of the political maneuvering on the public stage, research on school choice has gradually converged on a number of widely accepted findings. This quiet consensus shows how solid research can supersede partisan cleavages and sensationalized media headlines. In Spin Cycle, Henig draws on extensive interviews with researchers, journalists, and funding agencies on both sides of the debate, as well as data on federal and foundation grants and a close analysis of media coverage, to explore how social science research is spun in the public sphere. Henig looks at the consequences of a highly controversial New York Times article that cited evidence of poor test performance among charter school students. The front-page story, based on research findings released by the American Federation of Teachers (AFT), sparked an explosive debate over the effectiveness of charter schools. In the ensuing drama, reputable scholars from both ends of the political spectrum launched charges and counter-charges over the research methodology and the implications of the data. Henig uses this political tug-of-war to illustrate broader problems relating to social science: of what relevance is supposedly non-partisan research when findings are wielded as political weapons on both sides of the debate? In the case of charter schools, Henig shows that despite the political posturing in public forums, many researchers have since revised their stances according to accumulating new evidence and have begun to find common ground. Over time, those who favored charter schools were willing to admit that in many instances charter schools are no better than traditional schools. And many who were initially alarmed by the potentially destructive consequences of school choice admitted that their fears were overblown. The core problem, Henig concludes, has less to do with research itself than with the way it is often sensationalized or misrepresented in public discourse. Despite considerable frustration over the politicization of research, until now there has been no systematic analysis of the problem. Spin Cycle provides an engaging narrative and instructive guide with far-reaching implications for the way research is presented to the public. Ultimately, Henig argues, we can do a better job of bringing research to bear on the task of social betterment. |
| data cycle in education: Handbook of Data-Based Decision Making in Education Theodore Kowalski, Thomas J. Lasley, 2010-04-15 Education has fought long and hard to gain acceptance as a profession and, since professionals by definition use data to shape the decisions they make, education has little choice but to continue moving in this direction. This 3-part handbook represents a major contribution to the literature of education. It is a unique compendium of the most original work currently available on how, when and why evidence should be used to ground practice. It is a comprehensive, cross-disciplinary, research-based, and practice-based resource that all educators can turn to as a guide to data-based decision making. The Handbook of Data-Based Decision Making in Education is a must read for researchers who are just beginning to explore the scientifically based nature of educational practice. It is also appropriate for policy makers and practitioners who are confronted with young people who need to be in classrooms where best practices are the norm and not the exception. |
| data cycle in education: World Development Report 2018 World Bank Group, 2017-10-16 Every year, the World Bank’s World Development Report (WDR) features a topic of central importance to global development. The 2018 WDR—LEARNING to Realize Education’s Promise—is the first ever devoted entirely to education. And the time is right: education has long been critical to human welfare, but it is even more so in a time of rapid economic and social change. The best way to equip children and youth for the future is to make their learning the center of all efforts to promote education. The 2018 WDR explores four main themes: First, education’s promise: education is a powerful instrument for eradicating poverty and promoting shared prosperity, but fulfilling its potential requires better policies—both within and outside the education system. Second, the need to shine a light on learning: despite gains in access to education, recent learning assessments reveal that many young people around the world, especially those who are poor or marginalized, are leaving school unequipped with even the foundational skills they need for life. At the same time, internationally comparable learning assessments show that skills in many middle-income countries lag far behind what those countries aspire to. And too often these shortcomings are hidden—so as a first step to tackling this learning crisis, it is essential to shine a light on it by assessing student learning better. Third, how to make schools work for all learners: research on areas such as brain science, pedagogical innovations, and school management has identified interventions that promote learning by ensuring that learners are prepared, teachers are both skilled and motivated, and other inputs support the teacher-learner relationship. Fourth, how to make systems work for learning: achieving learning throughout an education system requires more than just scaling up effective interventions. Countries must also overcome technical and political barriers by deploying salient metrics for mobilizing actors and tracking progress, building coalitions for learning, and taking an adaptive approach to reform. |
| data cycle in education: Data Mining and Learning Analytics Samira ElAtia, Donald Ipperciel, Osmar R. Zaïane, 2016-09-20 Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research. |
| data cycle 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 cycle in education: Learning to Improve Anthony S. Bryk, Louis M. Gomez, Alicia Grunow, Paul G. LeMahieu, 2015-03-01 As a field, education has largely failed to learn from experience. Time after time, promising education reforms fall short of their goals and are abandoned as other promising ideas take their place. In Learning to Improve, the authors argue for a new approach. Rather than “implementing fast and learning slow,” they believe educators should adopt a more rigorous approach to improvement that allows the field to “learn fast to implement well.” Using ideas borrowed from improvement science, the authors show how a process of disciplined inquiry can be combined with the use of networks to identify, adapt, and successfully scale up promising interventions in education. Organized around six core principles, the book shows how “networked improvement communities” can bring together researchers and practitioners to accelerate learning in key areas of education. Examples include efforts to address the high rates of failure among students in community college remedial math courses and strategies for improving feedback to novice teachers. Learning to Improve offers a new paradigm for research and development in education that promises to be a powerful driver of improvement for the nation’s schools and colleges. |
| data cycle in education: Education at a Glance 2017 Organization for Economic Cooperation and Development, 2017-10-02 Education at a Glance: OECD Indicators is the authoritative source for information on the state of education around the world. With more than 125 charts and 145 tables included in the publication and much more data available on the educational database, Education at a Glance 2017 provides key information on the output of educational institutions; the impact of learning across countries; the financial and human resources invested in education; access, participation and progression in education; and the learning environment and organisation of schools. The 2017 edition presents a new focus on fields of study, investigating both trends in enrolment at upper secondary and tertiary level, student mobility, and labour market outcomes of the qualifications obtained in these fields. The publication also introduces for the first time a full chapter dedicated to the Sustainable Development Goals, providing an assessment of where OECD and partner countries stand on their way to meeting the SDG targets. Finally, two new indicators are developed and analysed in the context of participation and progress in education: an indicator on the completion rate of upper secondary students and an indicator on admission processes to higher education. The report covers all 35 OECD countries and a number of partner countries (Argentina, Brazil, China, Colombia, Costa Rica, India, Indonesia, Lithuania, the Russian Federation, Saudi Arabia and South Africa). The Excel(tm) spreadsheets used to create the tables and charts in Education at a Glance are available via the StatLinks provided throughout the publication. |
| data cycle in education: Becoming a Learning Team Stephanie Hirsh, 2017-01-01 |
| data cycle in education: Experiential Learning David A. Kolb, 2015 Experiential learning is a powerful and proven approach to teaching and learning that is based on one incontrovertible reality: people learn best through experience. Now, in this extensively updated book, David A. Kolb offers a systematic and up-to-date statement of the theory of experiential learning and its modern applications to education, work, and adult development. Experiential Learning, Second Edition builds on the intellectual origins of experiential learning as defined by figures such as John Dewey, Kurt Lewin, Jean Piaget, and L.S. Vygotsky, while also reflecting three full decades of research and practice since the classic first edition. Kolb models the underlying structures of the learning process based on the latest insights in psychology, philosophy, and physiology. Building on his comprehensive structural model, he offers an exceptionally useful typology of individual learning styles and corresponding structures of knowledge in different academic disciplines and careers. Kolb also applies experiential learning to higher education and lifelong learning, especially with regard to adult education. This edition reviews recent applications and uses of experiential learning, updates Kolb's framework to address the current organizational and educational landscape, and features current examples of experiential learning both in the field and in the classroom. It will be an indispensable resource for everyone who wants to promote more effective learning: in higher education, training, organizational development, lifelong learning environments, and online. |
| data cycle in education: Planning the Quality of Education Institut international de planification de l'éducation, International Institute for Educational Planning, 1990 Hardbound. This book was prepared from the papers and discussions associated with an international workshop on Issues and Practices in Planning the Quality of Education organized by the International Institute for Educational Planning in November 1989. The first part considers the differing information requirements for different levels of decision making in education and a review of established educational information collection practices. The second explores the linkages between information and the quality of education. The third considers two areas where many countries have experienced difficulties in the collection and use of educational information: the dialogue between the producers and consumers of information, and the technical issues associated with the collection, preparation, and analysis of information. A conclusion summarizes the fundamental needs for training and research that emerged from the preceding chapters. |
| data cycle in education: The Language of Science Education William F. McComas, 2013-12-30 The Language of Science Education: An Expanded Glossary of Key Terms and Concepts in Science Teaching and Learning is written expressly for science education professionals and students of science education to provide the foundation for a shared vocabulary of the field of science teaching and learning. Science education is a part of education studies but has developed a unique vocabulary that is occasionally at odds with the ways some terms are commonly used both in the field of education and in general conversation. Therefore, understanding the specific way that terms are used within science education is vital for those who wish to understand the existing literature or make contributions to it. The Language of Science Education provides definitions for 100 unique terms, but when considering the related terms that are also defined as they relate to the targeted words, almost 150 words are represented in the book. For instance, “laboratory instruction” is accompanied by definitions for openness, wet lab, dry lab, virtual lab and cookbook lab. Each key term is defined both with a short entry designed to provide immediate access following by a more extensive discussion, with extensive references and examples where appropriate. Experienced readers will recognize the majority of terms included, but the developing discipline of science education demands the consideration of new words. For example, the term blended science is offered as a better descriptor for interdisciplinary science and make a distinction between project-based and problem-based instruction. Even a definition for science education is included. The Language of Science Education is designed as a reference book but many readers may find it useful and enlightening to read it as if it were a series of very short stories. |
| data cycle 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 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 enable a …
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 minimum time …
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, released in …
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 from …
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 barriers …
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 to …
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 collected, …
The observation cycle - Pennsylvania State University
The documentation and data in both types of observation and assessment, formal and informal, are used to support reflection about practice and to support best outcomes for children. After …
Assessment Toolkit: Assessment Cycle - Assessment and …
Assessment Cycle Assessment Cycle . Assessment is the ongoing, systematic process of collecting, analyzing, and using information about divisional, departmental, and programmatic …
Using Evidence-Based Practice and Data-Based Decision …
literacy [10]. Data literacy concerns the ability to analyse and interpret data so that it can be used to inform practice. Data only becomes usable information when the observer is able to …
How to . . . teach data handling across the curriculum
Continuous data: data resulting from measurement, e.g. length, temperature, weight. It is possible for continuous data to take any value between two values. It can only be measured …
Continuous Improvement in Schools and Districts: Policy …
After completing one cycle, the team begins a new cycle to test different solutions or address new problems. Accounting for Continuous Improvement in Education Policy Allowing for continuous …
The Data Investigation Process
For many years, experts in statistics education have described processes used during data-intensive investigations that can guide curriculum and assessment practices in K-12 …
Using Student Achievement Data to Support Instructional …
Institute of Education Sciences levels of evidence for practice guides . 3. Table 2. Recommendations and corresponding levels of evidence . 8. ... Data use cycle . 10. Figure 2. …
Insights to inform school practice - School reviews
in each of the last four years. The 2019 data shows that it remains a priority. Out of 72 school reviews undertaken in Term 1 2019, 61 (85 per cent) recommended key improvement …
DaSy Data Inquiry Cycle
DaSy Data Inquiry Cycle 2 What is the data inquiry cycle? The data inquiry cycle is an iterative sequence of six stages: planning and design for data collection, data collection, data analysis …
A Practitioner s Guide to Improving Literacy Outcomes for …
Continuous Improvement in Education: A Toolkit for Schools and Districts. Continuous Improvement for a Multi-Tiered System of Support in Reading. PDE Data Summit: Using data …
School Age - arksped.ade.arkansas.gov
CYCLE 7 – Reviewing Student Data in MySped Overview Special Education student data in MySped Resource is the data pulled from APSCN Special Education Module. The data should …
Family Data Leader Program: Facilitator’s Guide
Session Two focuses on learning about data, the stages of the data cycle, and how to use data to advance equity. We will also examine the importance of WHY and how important WHY plays in …
Data Breach Response Checklist - ed
data systems and web-based applications to store, process, and deliver education data to internal customers and external partners. These systems have grown to encompass not only P-12 (pre …
PLC Quick Start Guide - Literacy Essentials
Engage teachers in a cycle of inquiry (see the sections that follow for more on inquiry cycles) Are guided by our discussion protocol ensuring equitable and collaborative participation Encourage …
Performance Assessment Guide - California
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GAO-24-107407, FAFSA: Education Needs to Improve …
Education data on FAFSA submissions and processing for the current application cycle (2024-25) and comparable data for the prior year. GAO also examined data and performance metrics …
WHITE PAPER 5 signs of a data–informed classro
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REQUEST FOR PROPOSALS GOV. JUAN F. LUIS HOSPITAL
Continuously analyze previous charge data to identify missing charges, coding errors, discrepancies, or irregularities that have potential for revenue recovery. • Utilize hospital data …
Questions for Data Team Leaders to Use when Facilitating …
Questions for Data Team Leaders to Use when Facilitating Data Team Meetings The following questions are intended to serve as a resource to assist the Data Team leader during the …
Continuous improvement in the public school context: …
Plan–do–study–act cycle: The crux of continuous improvement At the crux of CIR is the plan–do–study–act (PDSA) cycle. PDSA cycles test a change in real world settings and help …
A Deeper Dive into Plan-Do-Study-Act Cycles and Measures
the next cycle is planned. Measures Ideally, data should only be garnered for a clear purpose. Data can be used for accountability, research, and improvement (Bryk et al., 2015). If used for …
MAY 2018 CENTERVIEW - ed
In a learning cycle’s simplest form, educators begin by using data to identify a problem, then select a research-based . approach to address that problem. Next, they test the approach, …
THE EARLY YEARS LEARNING FRAMEWORK PLANNING CYCLE
of the planning cycle that are identified and explained in Diagram 2 can occur spontaneously, ‘in the moment’, throughout the day or over a period. Educators use these 5 components to inform …
Using data effectively infographic - School reviews
EDUCATION IMPROVEMENT RESEARCH CENTRE USING DATA EFFECTIVELY ‘Nothing else matters in teaching and learning as much as ...data that inform and differentiate instruction for …
Maximising our impact - School reviews
identifies: what data will be collected and why, who will collect it, when it will be collected, what tools will be used, where the data will be stored, and how it will be used • provide regular …
Overview of the Action Research Process - SAGE Publications …
and collect the data • Analyze the data • Develop an action plan • Share and communicate the results • Reflect on the research process Action research steps CHAPTER I n Chapter 1, the …
Using Student Achievement Data to Support Instructional …
data system. Summaries of these practices follow. Make data part of an ongoing cycle of instructional improvement. To help all students achieve, teachers need to systematically and …
MATHEMATICAL LITERACY LEARNER NOTES DATA …
numerical data can be further classified as discrete data or continuous data. Continuous data is data that you measure, e.g. The height of a learner The time taken to run a race Discrete data …
Principles for Using Public Health Data to Drive Equity - CDC …
Health Data to Drive Equity aim to ensure the integration of equity principles across the data life cycle. The Principles for Using Public Health Data to Drive Equity (also known as data equity …
Plan, Do, Study, Act Cycle Worksheet - dcyf.mn.gov
Plan for collection of data: Who, What, When, Where . Predictions (for questions above): Do: Report what happened, data; and begin analysis. Study: Complete analysis of data. Compare …
Table of Contents A
The Equity Data Inquiry Cycle 18 Skills and Dispositions for Collaborating in Data Inquiry Teams 19 Courageous Conversations 20 ... quality education. An ideal Data Inquiry Team has …
THE SCOTTISH APPROACH TO ASSESSMENT - The Scottish …
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Forum Guide to Education Data Privacy - National Center …
issues in education data policy, sponsors innovations in data collection and reporting, and provides technical assistance to improve state and local data systems. Development of Forum …
Adopting Technology: Using Student Qualitative Data and …
decisions about what specific technologies to purchase for their schools. Gartner’s Hype Cycle is an annually published report that can help school leaders anticipate and plan for trends in …
School Improvement Planning Basics: DATA ANALYSIS - Clark …
performance data. The following table describes data sources that may be available at school level. Site-based student learning data will be used in trend analysis and target -setting. …
Nepal Education Fact Sheets I 2022 - UNICEF DATA
issues in education by addressing two critical education data problems – gaps in key education indicators, as well as lack of effective data utilization by governments and education …
Self-Study Guide for Evidence-Based Coaching for Literacy: …
denceand data-driven decisionmakingprocesses. The facilitator should review the guide in detailbefore the self-study process begins, which should take about two hours. The facilita …
Completing the Plan-Do-Study-Act Cycle - ACGME
©2017 Accreditation Council for Graduate Medical Education (ACGME) Completing the Plan-Do-Study-Act Cycle Use this simple Plan-Do-Study-Act (PDSA) tool to plan and document the …
Continuous Improvement in Education - Carnegie …
education, this is oftentimes analogous to the school district, its people, processes, and outcomes. 3ystem ‘users’ in the field of education are students. While this term may appear somewhat …
State of the Period 2023
for age, region, and race/ethnicity, and education where necessary to align with actual proportions in the population. Period poverty is the inability to afford or access menstrual products. The …
AFSC 4T0X1 MEDICAL LABORATORY - Indiana University …
CAREER FIELD EDUCATION AND TRAINING PLAN PART I Preface 1. This Career Field Education and Training Plan (CFETP) is a comprehensive education and training document …
Data collection and use in early childhood education …
Research supports the potential value of using data in education settings for multiple pur poses (Crommey, 2000, and Earl & Katz, 2006, as cited in Datnow, Park, & Wohlstetter, 2007). But …
Energy Life-Cycle Assessment of Soybean Biodiesel
The farm input data for soybean production were obtained from ARMS and the National Agricultural Statistics Service (NASS). The direct energy data came from the 2002 ARMS, …
The 7 Steps of Data Analysis - williambannonassociates.org
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i.e.: inquiry in education
process of asking questions, conducting research, learning by analyzing data, and . 2 i.e.: inquiry in education, Vol. 13 [], Iss. 1, Art. 10 ... When examining the inquiry cycle, one can understand …
Enhancing Nursing Care Planning Through the Levett-Jones …
Figure 1 – Clinical Reasoning Cycle and relation with Levett-Jones clinical Reasoning cycle The CRC, with its emphasis on elements like data collection, hypothesis generation, and outcome …
THE CRIME REDUCING EFFECT OF EDUCATION* - Wiley …
We have access to OID data on anonymous samples of offenders sentenced during four weeks each year. We also have the entire pre and post-court appearance history of these individuals. …
Education at a Glance 2023 - OECD
draws on data from Education at a Glance 2023. In line with the thematic focus of this year’s Education at a Glance, it emphasises vocational education and training ... secondary and post …
