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| data based decision making in education: Data-based Decision Making in Education Kim Schildkamp, Mei Kuin Lai, Lorna Earl, 2012-09-17 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 based decision making 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 based decision making in education: Data-Driven Decision Making Chris O'Neal, 2012-02-21 This workbook will serve as your guide to incorporating the data-driven decision making process into your organization’s culture and behavior. O’Neal leads you through setting up teams; warehousing, accessing, and examining data; and finally reflecting on your process. Understand what’s happening in your school environment and how you can make better decisions that will keep you on a path to success. |
| data based decision making in education: Statistics Made Simple for School Leaders Susan Rovezzi Carroll, David J. Carroll, 2002-10-16 The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community. |
| data based decision making in education: Data-driven Decision Making for Effective School Leadership Anthony G. Picciano, 2006 Brief ContentsPrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Planning and Developing Information Resources Hardware, Software, and People Educational Research Methods and Tools Teachers and Administrators as Researchers Basic Applications Student Data, Demographics, and Enrollments School and the Community Financial Management and Budgeting Supporting Teaching and Learning Supporting Teachers and Their Professional Development Technical Support Review of Statistical Routines Used in this Book Introduction to Spreadsheet Software Introduction to the Statistical Package for the Social Sciences (SPSS) Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex Contents PrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Rationale for Adopting Data-Driven Decision Making Purpose of This Book Defining Data-Driven Decision Making An Old Idea: Knowledge Is Power Need for Planning The Systems Approach Organization of This Book SummaryReferences Planning and Developing Information Resources School Districts Take the Lead Defining Information Needs Database Management Systems Long-Term and Short-Term Data Resources SummaryCase StudyReferences Hardware, Software, and People A Brief Look at Infrastructure Hardware for Effective Data Management and Access Client-Server Architecture Software for Data Analysis Developing People Resources The Data Analyst SummaryCase StudyReferences Educational Research Methods and Tools The Scientific Method and Educational Research Educational Research Methods Ethnographic Research Historical Research Descriptive Research Correlational Research Causal Comparative Research Experimental Research Action Research Data Collection Tools Direct Observation Structured Interviews Document Analysis Surveys Test Instruments SummaryCase StudyReferences Teachers and Administrators as Researchers Learning Communities Action Research in Action Trial Testing a Peer Tutoring Program Multiple Intelligences in a Foreign Language Program Advancing to an Inclusion Program SummaryActivitiesReferences Basic Applications Student Data, Demographics, and Enrollments Student Data Enrollment Projections at the District Level Attendance Zones and Individual Schools Taking a Census Special Student Populations SummaryActivitiesReferences School and the Community Partnering with the Community: Broad-Based Surveys Anatomy of a Survey Who Will Participate in the Survey? What Data Will Be Collected? Data Analysis Is the Sample Representative of the High School Population? Do Students Have Access to the Internet? The Committee's Next Steps SummaryActivitiesReferences Financial Management and Budgeting Basic Terminology School District Budget School Budget The Canton Alternative School Budget Emergency SummaryActivitiesReferences Supporting Teaching and Learning States, Cities, Districts, Schools, Classes, Teachers, Students Improving Teaching and Learning Jefferson Middle School Developing a Plan Information Overload: A Caution SummaryActivitiesReferences Supporting Teachers and Their Professional Development Summative and Formative Evaluation Collecting Personnel Data Kingsland School District Case Study Keeping Track of Professional Development SummaryActivitiesReferences Technical Support Review of Statistical Routines Used in this Book Key Terms Descriptive Statistical Procedures Frequency Distributions Contingency Tables (Crosstabulations) Measures of Central Tendency Measures of Dispersion Measures of Relationship Correlational Coefficient Linear Regression Caution Introduction to Spreadsheet Software Overview and Key Terms Spreadsheet Structure Data Types and Data Manipulation Charts and Graphics Introduction to the Statistical Package for the Social Sciences (SPSS) Overview The Data Editor Creating a Data Set Defining Variables Transforming Data Options Data Analysis Procedures and the Output Viewer Graphs and Charts Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex. |
| data based decision making in education: Data-Driven Decision Making and Dynamic Planning Paul Preuss, 2013-09-27 This book will help you understand how to integrate data-based decisions into the daily work of the school. It is a practical and relevant handbook for converting data into wise decision-making and planning. It will give you the skills to successfully make data-based decisions, measure student learning and program effectiveness, evaluate student progress, use data to improve instruction, integrate a Dynamic Planning process into the daily operation of your school. |
| data based decision making in education: Schools and Data Theodore B. Creighton, 2006-07-06 Praise for the First Edition: Creighton′s descriptions of the applicability and helpfulness of statistics for educators is especially strong. His use of plain language and school-based examples is crucial. -Scott McLeod, Assistant Professor University of Cincinnati Improve instructional leadership practice with proven, easy-to-understand strategies for data-based decision making! Since the first edition of Schools and Data, the No Child Left Behind Act has swept the country, and data-based decision making is no longer an option for educators. Today′s educational climate makes it imperative for all schools to collect data and use statistical analysis to help create clear goals and recognize strategies for improvement. Schools and Data, Second Edition, focuses on the relevance of statistics in the lives of principals and teachers. Real-life examples and step-by-step procedures for collecting and organizing data provide every school leader with the means to facilitate more appropriate and effective decision making. With a highly practical method for statistical analysis, this comprehensive yet reader-friendly new edition places special emphasis on: Connecting statistics and educators′ daily work Integrating applied technology, including Excel and SPSS software Strengthening educators′ data interpretation skills Building strong skills in problem analysis, program evaluation, data-driven decision making, and report preparation Increasing the focus on correlation and regression Packed with easy-to-follow instructions, illustrations, and real-world examples that educators can readily understand, this is an essential resource for school leaders who want to create meaningful, data-driven decisions! *Note: The author created web site that provides information and activities paralleling the individual chapters of the second education of Schools and Data text is NO LONGER AVAILABLE. |
| data based decision making in education: The Data-Driven School Daniel M. Hyson, Joseph F. Kovaleski, Benjamin Silberglitt, Jason A. Pedersen, 2020-05-06 This indispensable practitioner's guide helps to build the capacity of school psychologists, administrators, and teachers to use data in collaborative decision making. It presents an applied, step-by-step approach for creating and running effective data teams within a problem-solving framework. The authors describe innovative ways to improve academic and behavioral outcomes at the individual, class, grade, school, and district levels. Applications of readily available technology tools are highlighted. In a large-size format for easy photocopying, the book includes learning activities and helpful reproducible forms. The companion website provides downloadable copies of the reproducible forms as well as Excel spreadsheets, PowerPoint slides, and an online-only chapter on characteristics of effective teams. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas. |
| data based decision making in education: Handbook of Data-Based Decision Making in Education Theodore Kowalski, Thomas J. Lasley, 2010-04-15 Pt. 1. Theoretical and practical perspectives -- pt. 2. Building support for data-based decisions -- pt. 3. Data-based applications. |
| data based decision making 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 based decision making 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 based decision making in education: Using Data in Schools to Inform Leadership and Decision Making Alex J. Bowers, Alan R. Shoho, Bruce G. Barnett, 2014-11-01 Our fifth book in the International Research on School Leadership series focuses on the use of data in schools and districts as useful information for leadership and decision making. Schools are awash in data and information, from test scores, to grades, to discipline reports, and attendance as just a short list of student information sources, while additional streams of data feed into schools and districts from teachers and parents as well as local, regional and national policy levels. To deal with the data, schools have implemented a variety of data practices, from data rooms, to data days, data walks, and data protocols. However, despite the flood of data, successful school leaders are leveraging an analysis of their school’s data as a means to bring about continuous improvement in an effort to improve instruction for all students. Nevertheless, some drown, some swim, while others find success. Our goal in this book volume is to bring together a set of chapters by authors who examine successful data use as it relates to leadership and school improvement. In particular, the chapters in this volume consider important issues in this domain, including: • How educational leaders use data to inform their practice. • What types of data and data analysis are most useful to successful school leaders. • To what extent are data driven and data informed practices helping school leaders positively change instructional practice? • In what ways does good data collection and analysis feed into successful continuous improvement and holistic systems thinking? • How have school leadership practices changed as more data and data analysis techniques have become available? • What are the major obstacles facing school leaders when using data for decision making and how do they overcome them? |
| data based decision making in education: RTI Team Building Kelly Broxterman, Angela J. Whalen, 2013-01-16 School teams play an essential role in the successful implementation of response to intervention (RTI). This user-friendly book offers a roadmap for creating effective RTI teams and overcoming common pitfalls. The authors discuss the nuts and bolts of planning and facilitating meetings during which data-based decisions are made about screening, interventions, and progress monitoring for individual students (K-6) or the whole school. Ways to develop sustainable team practices and strengthen collaboration are described. In a large-size format for easy photocopying, the book includes more than two dozen reproducible planning forms and other handy tools. Purchasers also get access to a Web page where they can download and print the reproducible materials. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas. |
| data based decision making in education: Using Web and Paper Questionnaires for Data-Based Decision Making Susan J. Thomas, 2004-03-06 Excerpt: ...tribe. He had faculties. He had also various idiosyncrasies. He was undeniably the best hunter and trapper and trainer of dogs to sledge, as well as the most expert upon snowshoes of all the Indians living upon the point, and he was, furthermore, one of the dirtiest of them and the biggest drunkard whenever opportunity afforded. Fortunately for him and for his squaw, Bigbeam, as she had been facetiously named by an agent of the company, the opportunities for getting drunk were rare, for the company is conservative in the distribution of that which makes bad hunters. Given an abundance of firewater and tobacco, Red Dog was the happiest Indian between the northern boundary of the United States and Lake Gary; deprived of them both he hunted vigorously, thinking all the while of the coming hour when, after a long journey and much travail, he should be in what was his idea of heaven again. To-day, though, the rifle bought from the company stood idle beside the ridge-pole, the sledge dogs snarled and fought upon the snow outside, and Bigbeam, squat and broad as became her name, looked askance at her lord as she prepared the moose meat, uncertain of his temper, for his face was cloudy. Red Dog was, in fact, perplexed, and was planning deeply. Good reason was there for Red Dog's thought. Events of the immediate future were of moment to him and all his fellows, among whom, though no chief was formally acknowledged, he was recognized as leader; for had he not at one time been with the company as a hired hunter? Had he not once gone with a fur-carrying party even to Hudson's Bay, and thence to the far south and even to Quebec? And did he not know the ways of the company, and could not he talk a French patois which enabled him to be understood at the stations? Now, as fitting representative of himself and of his clan, a great responsibility had come upon him, and he was lost in as anxious thought as could come to a biped of his quality. Like a more or less... |
| data based decision making 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 based decision making in education: Data-driven Decisions and School Leadership Theodore J. Kowalski, Thomas J. Lasley, James W. Mahoney, 2008 This book integrates theory and practice in decision-making, with a specific focus on data-driven decision making. Applications are demonstrated in the contexts of administration, supervision, and teaching. The book provides a unique contribution to the literature in this field in that the studies of decision theory and data-based decision making are integrated. Focusing on educators assuming leadership roles in school improvement, the book's content is equally relevant for administrators, supervisors, and teachers. The book, however, is centered on data-driven decision making, both as a requirement of the No Child Left Behind Act and as a normative professional standard. Issues related to accumulating, storing, and protecting data in districts and schools also are covered. Applications in administration, supervision, and teaching are demonstrated. |
| data based decision making 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 based decision making in education: The Power of Experiments Michael Luca, Max H. Bazerman, 2021-03-02 How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.” |
| data based decision making in education: How to Make Decisions with Different Kinds of Student Assessment Data Susan M. Brookhart, 2015-12-07 In How to Make Decisions with Different Kinds of Student Assessment Data, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn— * What different kinds of data can—and cannot—tell us about student learning; * What different analyses reveal about changes in student achievement; * How to interpret, use, and share relevant data; and * How to create a model to go from problem to solution in a data-based decision-making process. With easy-to-understand explanations, supplemented by examples and scenarios from actual schools, this book offers a path to better understanding, more accurate interpretation of assessment results, and—most important—more effective use of data to improve teaching and learning. |
| data based decision making in education: Accountability for Results Sandra Watkins, Donna McCaw, 2008 Accountability for Results: The Realities of Data-Driven Decision Making addresses the most salient questions that administrators, school board members, and community stakeholders need to ask to ensure academic and fiscal accountability, providing definitions, background information, and current research. Research on professional development indicates little correlation between spending and student achievement. Teachers are often provided training with little or no monitoring for actual implementation. This lack of follow-up and follow-through minimizes the positive impact on student achievement. Examples are provided of different types of data for the analysis and evaluation of progress in district and school-level improvements. To elicit collaborative discussions and support the development of district planning, reflective questions are also included. Book jacket. |
| data based decision making in education: Evidence-Based School Counseling Carey Dimmitt, John C. Carey, Trish Hatch, 2007-06-28 This authoritative guidebook gives school counselors the tools to identify evidence-based practices and to use data in designing, implementing, and evaluating programs and interventions. |
| data based decision making in education: Big Data on Campus Karen L. Webber, Henry Y. Zheng, 2020-11-03 Webber, Henry Y. Zheng, Ying Zhou |
| data based decision making 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 based decision making 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 based decision making in education: Decision Making for Educational Leaders Bob L. Johnson Jr., Sharon D. Kruse, 2012-02-01 A guide to decision making for school administrators. |
| data based decision making in education: Putting FACES on the Data Lyn Sharratt, Michael Fullan, 2012-02-03 Build the bridge from data collection to improved instruction Students are people—not data. How can you use assessment data to focus on reaching every student? This book shows how to develop a common language for sharing all students’ progress with all teachers and leaders, and how to use ongoing assessment to inform instruction. Based on worldwide research of more than 500 educators, the book presents solutions organized by: Assessment Instruction Leadership Ownership The many benefits of personalizing data include increased student engagement and a positive impact on school culture. This reader-friendly guide helps you set goals, adjust lessons, identify students’ strengths and weaknesses, and implement interventions. |
| data based decision making in education: Decision Making in Educational Leadership Stephanie Chitpin, Colin W. Evers, 2014-06-05 The increased focus on raising standards in education requires leaders to engage in complex decision making about teacher assessment, mandated accountability measures, and the collection and use of large amounts of data. Showcasing exemplary practices of school and district administrators, Decision Making in Educational Leadership covers issues concerning the role of emotion, ethical and legal ramifications, the use of data, and complexity in decision making. Chapter authors in this research-based volume explore what administrators and school leaders actually know about educational problems, how they draw upon and revise theories of action for responding to problems, and which theories are tenable in educational decision making. This important resource provides a broad and international perspective on effective models and methods of educational decision making and shares valuable knowledge about how theory can be translated into practice in a variety of school settings. |
| data based decision making in education: Transforming Teaching and Learning Through Data-driven Decision Making Ellen Beth Mandinach, Sharnell S. Jackson, 2016 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, and classroom management |
| data based decision making 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 based decision making in education: Teacher Learning That Matters Mary Kooy, Klaas van Veen, 2012-02-27 In the continuing global call for educational reforms and change, the contributors in this edited collection address the critical issue of teacher learning from diverse national contexts and perspectives. They define teacher learning that matters as it shapes and directs pedagogical practices with the goal of improving student learning. This book weaves together major studies, research findings and theoretical orientations to represent a globalized network of inquiries into the what, how and why of teacher learning that shapes teacher skill and knowledge. Teacher learning matters on an international scale because teachers are the portals through which any initiative for change and reform is realized. Recognizing that a highly skilled teaching force is instrumental to improving student achievement adds import to generating interactive dialogue on teacher learning around the globe. |
| data based decision making in education: The Fourth Industrial Revolution Klaus Schwab, 2017-01-03 World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress. |
| data based decision making in education: High Leverage Practices for Inclusive Classrooms James McLeskey, Lawrence Maheady, Bonnie Billingsley, Mary T. Brownell, Timothy J. Lewis, 2022-03-30 High Leverage Practices for Inclusive Classrooms, Second Edition offers a set of practices that are integral to the support of student learning, and that can be systematically taught, learned, and implemented by those entering the teaching profession. In this second edition, chapters have been fully updated to reflect changes in the field since its original publication, and feature all new examples illustrating the use of HLPs and incorporating culturally responsive practices. Focused primarily on Tiers 1 and 2—or work that mostly occurs with students with mild to moderate disabilities in general education classrooms—this powerful, research-based resource provides rich, practical information highly suitable for teachers, and additionally useful for teacher educators and teacher preparation programs. |
| data based decision making in education: School Improvement Through Performance Feedback A.J. Visscher, R. Coe, 2013-10-08 Internationally there is an increasing trend to publish and feed back information to schools and teachers on their functioning. School improvement is often the central goal, though accountability and the promotion of parental/student school choice also play an important role.Practical initiatives and research in this field have often failed to recognize the full complexity of improving schools through school performance feedback. Relevant questions are, for example, to what extent: the information fed back to schools is valued and understood by them; the school performance feedback enables appropriate diagnosis and remediation to take place in schools; the use of the feedback generates conflicts and tensions for teachers and administrators; the features of the implementation process and school organization influence the utilization of school performance feedback systems; schools do actually improve as a result of performance feedback; and the feedback systems have unintended effects. This book fills the gap by including: a thorough conceptualization of school feedback as a performance enhancing mechanism, and the prerequisites for utilizing this information in schools; a typology of school performance indicators; a review of the research on the impact of feeding back performance information to individuals and to organizations; evidence on the process, problems and impact of school performance feedback from an international variety of contexts (Australia, the Netherlands, United Kingdom, USA); and reflections on these experiences within the theoretical framework, leading to recommended strategies for school improvement through performance feedback. |
| data based decision making 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 based decision making in education: Special and Inclusive Education Garry Hornby, James M Kauffman, 2021-11 For the past 50 years, there has been increasing consideration and debate about how to best educate learners with special educational needs and disabilities. Competing paradigms of special education and inclusive education have been developed, disseminated and discussed at length over the years. These discussions have focused the attention on effectively educating learners with different types and severities of special educational needs and disabilities, who are living in either developing and developed countries in various parts of the world. The aim of this Special Issue of Education Sciences is to focus on the latest theory, practice and research relevant to special education and inclusive education. Articles that present new ideas, suggest future research directions or potential ways forward for educational practice are of particular interest. |
| data based decision making in education: Handbook on Formative and Summative Evaluation of Student Learning Benjamin Samuel Bloom, John Thomas Hastings, George F. Madaus, 1971 |
| data based decision making in education: Understanding Decision-Making in Educational Contexts Stephanie Chitpin, 2021-03-15 Understanding Decision-Making in Educational Contexts presents 'problem cases' confronting school leaders in real settings, and illustrates the multiple approaches that school leaders draw upon to navigate complex and challenging decision-making contexts. |
| data based decision making in education: Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education Carmen Batanero, Gail Burrill, Chris Reading, 2011-07-31 Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education results from the Joint ICMI/IASE Study Teaching Statistics in School Mathematics: Challenges for Teaching and Teacher Education. Oriented to analyse the teaching of statistics in school and to recommend improvements in the training of mathematics teachers to encourage success in preparing statistically literate students, the volume provides a picture of the current situation in both the teaching of school statistics and the pre-service education of mathematics teachers. A primary goal of Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education is to describe the essential elements of statistics, teacher’s professional knowledge and their learning experiences. Moreover, a research agenda that invites new research, while building from current knowledge, is developed. Recommendations about strategies and materials, available to train prospective teachers in university and in-service teachers who have not been adequately prepared, are also accessible to the reader. |
| data based decision making in education: Teacher Training and Professional Development: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2018-05-04 Regardless of the field or discipline, technology is rapidly advancing, and individuals are faced with the challenge of adapting to these new innovations. To remain up-to-date on the current practices, teachers and administrators alike must constantly stay informed of the latest advances in their fields. Teacher Training and Professional Development: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on the methods, skills, and techniques that are essential to lifelong learning and professional advancement. Including innovative studies on teaching quality, pre-service teacher preparation, and faculty enrichment, this multi-volume book is an ideal source for academics, professionals, students, practitioners, and researchers. |
| data based decision making in education: The Family Firm Emily Oster, 2021-08-12 THE INSTANT NEW YORK TIMES BESTSELLER 'Chart a child's path with less stress and more optimization for healthy habits and future success' Time From age 5 to 12, parenting decisions get more complicated and have lasting consequences. What's the right kind of school? Should they play a sport? When's the right time for a phone? Making these decisions is less about finding the specific answer and more about taking the right approach. Along with these bigger questions, Oster investigates how to navigate the complexity of day-to-day family logistics. The Family Firm is a smart and winning guide to how to think more clearly - and with less ambient stress - about the key decisions of these early years. |
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 …
