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| data driven instruction 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 driven instruction 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 driven instruction 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 driven instruction in education: Transforming Teaching and Learning Through Data-Driven Decision Making Ellen B. Mandinach, Sharnell S. Jackson, 2012-04-10 Connect data and instruction to improve practice 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 |
| data driven instruction 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 driven instruction 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 driven instruction 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 driven instruction 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 driven instruction in education: Driven by Data Paul Bambrick-Santoyo, 2010-03-18 Driven by Data offers valuable tips and general guidelines about data-based methods and the difficulties surrounding the implementation of data-driven instruction. Through a CD-ROM, this guidebook provides all the tools needed to launch data-driven instruction effectively, such as an implementation rubric, meeting agendas, calendars, assessment templates, and more. Written by Paul Bambrick-Santoyo, who has worked with over 1,000 schools across the nation, the book clearly shows how to maneuver through assessments and statistics. Bambrick-Santoyo offers vital tips, such as: how to create a data culture, how to run a successful data analysis meeting, how to write quality assessments, and how to deal with resistance from your teachers. The book also includes twenty case studies of high-performing schools. School leaders will find this resource useful for achieving remarkable results and immense gains, regardless of the school's background, leader, or demographic. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| data driven instruction in education: How Teachers Can Turn Data into Action Daniel R. Venables, 2013-12-18 From state and Common Core tests to formative and summative assessments in the classroom, teachers are awash in data. Reviewing the data can be time-consuming, and the work of translating data into real change can seem overwhelming. Tapping more than 30 years' experience as an award-winning teacher and a trainer of PLC coaches, Daniel R. Venables, author of The Practice of Authentic PLCs: A Guide to Effective Teacher Teams, soothes the trepidation of even the biggest dataphobes in this essential resource. Field-tested and fine-tuned with professional learning communities around the United States, the Data Action Model is a teacher-friendly, systematic process for reviewing and responding to data in cycles of two to nine weeks. This powerful tool enables you and your teacher team to * Identify critical gaps in learning and corresponding instructional gaps; * Collaborate on solutions and develop a goal-driven action plan; and * Evaluate the plan's effectiveness after implementation and determine the next course of action. With easy-to-use templates and protocols to focus and deepen data conversations, this indispensable guide delineates exactly what should be accomplished in each team meeting to translate data into practice. In the modern sea of data, this book is your life preserver! |
| data driven instruction in education: The Data-Driven Classroom Craig A. Mertler, 2014-08-11 Thanks to initiatives like the Common Core and Race to the Top, accountability requirements continue to be a reality for educators. Yet many are still unsure of how to use data to make well-informed instructional decisions. The Data-Driven Classroom comes to the rescue with a systematic, universal process that shows teachers how to: examine student assessment results to identify a curricular or skill area to target for individual intervention or large-group instructional revision; develop, implement, and assess the effectiveness of the intervention or revision; and develop an action plan for future instructional cycles. Author Craig A. Mertler sheds light on how teachers can make sense of overwhelming standardized test reports while avoiding pitfalls like over-interpreting data. In these pages you will also find practical classroom examples and templates designed to guide teachers of all grade levels and subject areas through the comprehensive decision-making framework. |
| data driven instruction in education: Driven by Data 2.0 Paul Bambrick-Santoyo, 2019-04-08 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 driven instruction in education: Data-driven Instruction Lance E. Bedwell, 2004 |
| data driven instruction 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 driven instruction in education: Leverage Leadership 2.0 Paul Bambrick-Santoyo, 2018-07-09 Cut through the mystique to learn the real drivers of great school leadership Leverage Leadership 2.0 answers the basic question: what do great school leaders do that separates them from the rest? Rooted in the observation and training of over 20,000 school leaders worldwide, Leverage Leadership 2.0 offers a practical, updated and easier-to-use follow-up to the original, with field-tested techniques and actionable advice. As educational leaders around the world implement Leverage Leadership ideas, their collective stories have revealed a simple framework by which the seven levers may be implemented: See It, Name It, Do It. This book aligns classic Leverage Leadership principles with this proven framework to streamline implementation and help good leaders become great. Expert discussion and real-life success stories prove that effective leadership is not about innate charisma, charm, or personality—it’s about how a leader uses their time. Aimed at all levels of school leadership, this book shows you what to do, and how and when to do it. The companion DVD includes 30 real-world videos that showcase effective leadership happening in our schools right now, and all templates, tools, and other professional development materials have been fully refreshed with a renewed focus on real-world implementation. Informational, inspirational, and highly motivational, this book explores both the separate components of success and what it looks like as a whole. Learn the core principles of effective leadership Understand what success looks like on the ground Practice the seven levers of leadership that allow transformational growth Adopt the tools and techniques that facilitate a schoolwide transformation Educational leaders from a diverse array of schools around the world have found unprecedented success using the key principles detailed in Leverage Leadership, and this book is inspired — and informed — by their stories. Leverage Leadership 2.0 is the practical resource school leaders need to start making real change happen today. |
| data driven instruction in education: Data Leadership for K-12 Schools in a Time of Accountability Mense, Evan G., Crain-Dorough, Mindy, 2017-12-15 The monitoring of data within educational institutions is essential to ensure the success of its students and faculty. By continually analyzing data, educational leaders can increase quality and productivity in their institutions. Data Leadership for K-12 Schools in a Time of Accountability explores techniques and processes of educational data analysis and its application in developing solutions and systems for instructional concerns and next-generation learning. Providing extensive research covering areas such as data-driven culture, student accountability, and data dissemination, this unique reference is essential for principals, administrators, practitioners, academicians, students, and educational consultants looking to maximize their institution’s performance. |
| data driven instruction in education: Multi-Dimensional Education Michael W. Corrigan, Doug Grove, Philip F. Vincent, 2011-06-13 'In an evidence-driven era, gathering comprehensive data will enable schools to meet their academic goals and to engage in a holistic approach to education.'ùAvis Glaze, PresidentEdu-Quest International Inc., Valhalla, NY'The challenges facing educators today are immense and the pressure to 'perform' is clearly evident. This book provides a fresh and compelling argument to look far beyond test score 'performance' when measuring success in our schools.'ùKurt Suhr, PrincipalNewport Heights Elementary School, Newport Beach, CAA comprehensive guide to data-driven school improvementSchools arenÆt one-dimensional. Your decision making shouldnÆt be either. If you want to look beyond student test scores to identify the specific areas that need improvement in your school, you will find practical tools for assessing multiple areas with confidence here. The authors detail a step-by-step framework for identifying, collecting, analyzing, and using data as a basis for driving school improvement in the right direction. Based on more than 40 years of research, this seven-dimension model will help enhance your schoolÆs curriculum, community, climate and character by applying data to these key processes:Assessing student achievementModifying instruction based on data findingsImproving school performanceRetaining effective teachersThe result is a holistic and accurate instrument for making the changes needed to improve student learning. Included are assessment tools, process charts, graphic organizers, rubrics, tables, numerous examples, and background research. |
| data driven instruction in education: Leveraging Data for Student Success Laura G. Knapp, Elizabeth Glennie, Karen J. Charles, 2016-09-29 People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might want to share that information with other service providers who could build upon that strategy. Some organizations that fund programs for students will want a report demonstrating the program’s success. Determining whether a program is effective requires expertise in data collection, study design, and analysis. Not all project directors have this expertise—they tend to be primarily focused on working with schools, teachers, and students to undertake program activities. Collecting and obtaining student-level data may not be a routine part of the program. This book provides an overview of the process for evaluating a program. It is not a detailed methodological text but focuses on awareness of the process. What do program directors need to know about data and data analysis to plan an evaluation or to communicate with an evaluator? Examples focus on supporting college and career readiness programs. Readers can apply these processes to other studies that include a data collection component. |
| data driven instruction in education: Data Driven Differentiation in the Standards-Based Classroom Gayle H. Gregory, Lin Kuzmich, 2014-05-22 Collect the data you need to reach every student! Veteran educators Gregory and Kuzmich provide user-friendly techniques for data-gathering, helping you to differentiate instruction. This informative book is now fully updated to support the Common Core and other key standards, and includes: Step-by-step guidance on gathering data to improve classroom dynamics, pinpoint student learning styles, adjust lessons for different learners, and inform diagnostic teaching and assessment Techniques for using data to refresh and strengthen curriculum, including numerous unit and lesson plans fully linked with the Common Core A wealth of templates for fast and simple data collection Updated differentiation strategies for the Common Core and other key standards, including the Career and College Readiness Standards and the Standards of Mathematical Practice |
| data driven instruction 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 driven instruction in education: Data-Driven Instructional Leadership Rebecca J. Blink, 2014-01-09 With real-world examples from actual schools, this book shows you how to nurture a culture of continuous improvement, meet the needs of individual students, foster an environment of high expectations, and meet the requirements of NCLB. |
| data driven instruction 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 driven instruction in education: Data-Driven Design for Computer-Supported Collaborative Learning Lanqin Zheng, 2021-08-11 This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design collaborative learning activities based on data-driven design approaches, while the second shares illustrative examples of computer-supported collaborative learning activities. In turn, the third and last section demonstrates how to evaluate design quality and the fidelity of enactment based on design-centered research. The book features several examples of innovative data-driven design approaches to optimizing collaborative learning activities; highlights innovative CSCL activities in authentic learning environments; demonstrates how learning analytics can be used to optimize CSCL design; and discusses the design-centered research approach to evaluating the alignment between design and enactment in CSCL. Given its scope, it will be of interest to a broad readership including researchers, educators, practitioners, and students in the field of collaborative learning, as well as the rapidly growing community of people who are interested in optimizing learning performance with CSCL. |
| data driven instruction in education: New Technological Applications for Foreign and Second Language Learning and Teaching Kruk, Mariusz, Peterson, Mark, 2020-03-13 Population diversity is becoming more prevalent globally with increasing immigration, emigration, and refugee placement. These circumstances increase the likelihood that a child will be raised speaking a different language in the home than the common language used in each country. This necessitates the development of comprehensive strategies that promote second language learning through the adoption of new technological advancements. New Technological Applications for Foreign and Second Language Learning and Teaching is a scholarly publication that explores how the latest technologies have the potential to engage foreign and second language learners both within and outside the language classroom and to facilitate language learning and teaching in the target language. Highlighting a range of topics such as learning analytics, digital games, and telecollaboration, this book is ideal for teachers, instructional designers, curriculum developers, IT consultants, educational software developers, language learning specialists, academicians, administrators, professionals, researchers, and students. |
| data driven instruction in education: Leaders of Their Own Learning Ron Berger, Leah Rugen, Libby Woodfin, EL Education, 2014-01-07 From EL Education comes a proven approach to student assessment Leaders of Their Own Learning offers a new way of thinking about assessment based on the celebrated work of EL Education schools across the country. Student-Engaged Assessment is not a single practice but an approach to teaching and learning that equips and compels students to understand goals for their learning and growth, track their progress toward those goals, and take responsibility for reaching them. This requires a set of interrelated strategies and structures and a whole-school culture in which students are given the respect and responsibility to be meaningfully engaged in their own learning. Includes everything teachers and school leaders need to implement a successful Student-Engaged Assessment system in their schools Outlines the practices that will engage students in making academic progress, improve achievement, and involve families and communities in the life of the school Describes each of the book's eight key practices, gives advice on how to begin, and explains what teachers and school leaders need to put into practice in their own classrooms Ron Berger is Chief Program Officer for EL Education and a former public school teacher Leaders of Their Own Learning shows educators how to ignite the capacity of students to take responsibility for their own learning, meet Common Core and state standards, and reach higher levels of achievement. DVD and other supplementary materials are not included as part of the e-book file, but are available for download after purchase. |
| data driven instruction 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 driven instruction in education: Formative Assessment & Standards-Based Grading Robert J. Marzano, 2011-10-27 Learn everything you need to know to implement an integrated system of assessment and grading. The author details the specific benefits of formative assessment and explains how to design and interpret three different types of formative assessments, how to track student progress, and how to assign meaningful grades. Detailed examples bring each concept to life, and chapter exercises reinforce the content. |
| data driven instruction in education: Research Anthology on Preparing School Administrators to Lead Quality Education Programs Management Association, Information Resources, 2020-07-24 The delivery of quality education to students relies heavily on the actions of an institution’s administrative staff. Effective leadership strategies allow for the continued progress of modern educational initiatives. It is crucial to investigate how effective administrators lead their organizations in challenging and difficult times and promote the accomplishments of their organization. Research Anthology on Preparing School Administrators to Lead Quality Education Programs is a vital reference source that offers theoretical and pedagogical research concerning the management of educational systems on both the national and international scale. It also explores academic administration as well as administrative effectiveness in achieving organizational goals. Highlighting a range of topics such as strategic planning, human resources, and school culture, this multi-volume book is ideally designed for educators, administrators, principals, superintendents, board members, researchers, academicians, policymakers, and students. |
| data driven instruction in education: FirstSchool Sharon Ritchie, Laura Gutmann, 2014 FirstSchool is a groundbreaking framework for teaching minority and low-income children. Changing the conversation from improving test scores to improving school experiences, the text features lessons learned from eight elementary schools whose leadership and staff implemented sustainable changes. The authors detail how to use education research and data to provide a rationale for change; how to promote professional learning that is genuinely collaborative and respectful; and how to employ developmentally appropriate teaching strategies that focus on the needs of minority and low-income children. |
| data driven instruction in education: Using Data to Improve Learning for All Nancy Love, 2009 Collaborative inquiry + effective use of data = significant leaps in learning and achievement! This resource combines a powerful collaborative inquiry process, reflective dialogue, and rigorous use of data to improve outcomes for all students. The editor and contributors provide detailed examples of schools that have demonstrated dramatic gains by building collaborative cultures, nurturing ongoing inquiry, and using data systematically. The book shows school leaders how to: Implement collaborative inquiry to meet accountability mandates Build and support a high-performing data culture Establish a school climate characterized by collective responsibility for student learning and a respect for students’ cultures |
| data driven instruction in education: The Data Coach's Guide to Improving Learning for All Students Nancy Love, Katherine E. Stiles, 2008-02-27 Use data as an effective tool for school change and improvement! This resource helps data team facilitators move schools away from unproductive data practices and toward examining data for systematic and continuous improvement in instruction and learning. The book, which includes a CD-ROM with slides and reproducibles, illustrates how the authors' model has proven successful in: Narrowing achievement gaps in all content areas and grade levels Achieving strong, continuous gains in local and state assessments in mathematics, science, and reading Initiating powerful conversations about race/ethnicity, class, educational status, gender, and language differences Developing a vision for a high-performing, data-informed school culture |
| data driven instruction in education: Multiple Affordances of Language Corpora for Data-driven Learning Agnieszka Leńko-Szymańska, Alex Boulton, 2015-05-15 In recent years, corpora have found their way into language instruction, albeit often indirectly, through their role in syllabus and course design and in the production of teaching materials and other resources. An alternative and more innovative use is for teachers and students alike to explore corpus data directly as part of the learning process. This volume addresses this latter application of corpora by providing research insights firmly based in the classroom context and reporting on several state-of-the-art projects around the world where learners have direct access to corpus resources and tools and utilize them to improve their control of the language systems and skills or their professional expertise as translators. Its aim is to present recent advances in data-driven learning, addressing issues involving different types of corpora, for different learner profiles, in different ways for different purposes, and using a variety of different research methodologies and perspectives. |
| data driven instruction 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 driven instruction in education: The Hidden Lives of Learners Graham Nuthall, 2007 The focus is on how students experience classroom learning activities and how they learn from that experience. |
| data driven instruction in education: Letting Data Lead Eileen Depka, 2019 In Responding to Data, author Eileen Depka expounds on how implementing a proficient system of assessment yields actionable data. In order to better respond to student needs, educators need the know-how of conducting proper assessment design, data collection, and data interpretation. This book provides systems, processes, and specific examples that help teachers thoroughly understand how to preplan assessments and collect the data available to them. The tools and templates outline how teachers can determine if the collective data indicate a response is needed and how teachers can then turn gathered information into immediate actions. By reading this book, educators gain strategies that build a culture of data analysis and student achievement in their classrooms-- |
| data driven instruction in education: Leverage Leadership Paul Bambrick-Santoyo, 2012-06-06 Paul Bambrick-Santoyo (Managing Director of Uncommon Schools) shows leaders how they can raise their schools to greatness by following a core set of principles. These seven principles, or levers, allow for consistent, transformational, and replicable growth. With intentional focus on these areas, leaders will leverage much more learning from the same amount of time investment. Fundamentally, each of these seven levers answers the core questions of school leadership: What should an effective leader do, and how and when should they do it. Aimed at all levels of school leadership, the book is for any principal, superintendent, or educator who wants to be a transformational leader. The book includes 30 video clips of top-tier leaders in action. These videos bring great schools to you, and support a deeper understanding of both the components of success and how it looks as a whole. There are also many helpful rubrics, extensive professional development tools, calendars, and templates. Explores the core principles of effective leadership Author's charter school, North Star Academy in Newark, New Jersey, received the highest possible award given by the U.S. Department of Education; the National Blue Ribbon Print version includes an instructive DVD with 30 video clips to show how it looks in real life. E-book customers: please note that details on how to access the content from the DVD may be found in the e-book Table of Contents. Please see the section: How to Access DVD Contents Bambrick-Santoyo has trained more than 1,800 school leaders nationwide in his work at Uncommon Schools and is a recognized expert on transforming schools to achieve extraordinary results. |
| data driven instruction in education: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it! |
| data driven instruction in education: Data Analysis for Continuous School Improvement Victoria L. Bernhardt, 2017-09-19 Data Analysis for Continuous School Improvement provides a new definition of school improvement, away from a singular focus on compliance, toward a true commitment to excellence. This book is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framework that will result in improving teaching for every teacher and learning for every student through the comprehensive use of data. A culmination of over 30 years of doing the hard work in schools and districts both nationally and internationally, Data Analysis for Continuous School Improvement shares new, evidence-based learnings about how to analyze, report, communicate, and use multiple measures of data. The updated edition provides a wealth of tools, protocols, timelines, examples, and strategies that will help schools and districts become genuine learning organizations. |
| data driven instruction in education: Artificial Intelligence in Education H. Chad Lane, Kalina Yacef, Jack Mostow, Philip Pavlik, 2013-06-22 This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013, held in Memphis, TN, USA in July 2013. The 55 revised full papers presented together with 73 poster presentations were carefully reviewed and selected from a total of 168 submissions. The papers are arranged in sessions on student modeling and personalization, open-learner modeling, affective computing and engagement, educational data mining, learning together (collaborative learning and social computing), natural language processing, pedagogical agents, metacognition and self-regulated learning, feedback and scaffolding, designed learning activities, educational games and narrative, and outreach and scaling up. |
| data driven instruction in education: Rti Joanne Klepeis Allain, Nancy Chapel Eberhardt, 2011-07-01 The authors offer a step-by-step process for constructing a strong Tier 1 curriculum, identifying the essentials of data-driven instruction, and analyzing instructional strategies that lead to good first instruction for all students. |
Data-driven Instruction to Improve Learning and Teaching
Description: Data-driven instruction (DDI) enables teachers to make timely and targeted instructional adjustments in their classrooms in order to meet students’ unique needs.
Principles of Data-Driven Instruction - The University of Toledo
The term data-driven instruction refers to a teacher’s use of the results from various student assessments to plan instruction. Research has shown this process to be an effective way to …
Using Data to Improve Educational Outcomes
• Promote a culture of data-driven decision making to support school redesign and restructuring efforts. • Develop an accurate and accessible longitudinal student information system; provide …
TOWARD DATA-DRIVEN EDUCATION SYSTEMS - Brookings
AidData uses rigorous methods, cutting-edge tools, and granular data to answer the question: who is doing what, where, for whom, and to what effect? Brookings gratefully acknowledges the …
Driven by Data: A Practical Guide to Improve Instruction
Data-driven instruction involves changing a school’s focus from “what was taught” to “what was learned.” This book outlines exactly how you create such a data-driven culture in order to …
Data-Driven Instruction in the K12 Virtual Learning Environment
DDI is a set of instructional strategies that engage teachers in regularly analyzing quanti able data from student assessments and other metrics. Based on their analyses, teachers modify …
Evaluation of Support for Using Student Data to Inform …
instruction is often called data-driven instruction (DDI). Under DDI, teachers analyze student data to better understand students’ learning needs and to identify and improve instructional
Using Digital Learning Data to Drive Instruction
The benefits of data-driven decision making are strengthened when teachers utilize online systems for data management, consult a wide variety of data sources, receive support in understanding …
Data-Driven Instructional Practices: Why They Work - McGraw …
Data-driven instructional practices that have emerged over the last few years give teachers access to much better data about their students: data that they can use as they strive to make a …
Five steps for structuring data‐informed conversations and …
Using guiding questions, suggested activities, and activity forms, this guide provides education data teams with a framework and the tools and vocabulary needed to support an informed …
Driven By Data A Practical Guide To Improve Instruction
No longer a futuristic concept, data-driven instruction is becoming the bedrock of effective teaching, transforming classrooms from places of generic instruction to dynamic hubs of …
Building a Data-Driven Education System in the United States
implement the policies, practices, and technologies that enable data-driven education. A data-driven education system should achieve four main goals: • Personalization: Teachers tailor lesson …
How to Use Data-Driven Instruction to Reach Math …
is there a need for a data-driven culture? How do data-driven cultures look, sound, and act? And at the center of it all are the results. What are the desired results for improved teaching and …
IMPROVING STUDENT OUTCOMES: DATA-DRIVEN …
This article describes how one school district established a model of RTI includ-ing three mechanisms to enhance data-driven instruction and fidelity of implementation through the use …
THE ROLE OF DATA-DRIVEN DECISION-MAKING IN …
Data-driven decision-making in education involves the systematic collection, analysis, and interpretation of data to inform educational practices and policies. It enables leaders to move …
Data-Informed Decision Making in Education - spriglearning.com
Holistic Education: How Holistic Assessment Enables True Personalized Learning. Data can be especially helpful to schools and educators supporting students aged three to eight years old. …
Evaluation of Support for Using Student Data to Inform …
instruction is often called data-driven instruction (DDI). Under DDI, teachers analyze student data to better understand students’ learning needs and to identify and improve instructional
Using Evidence-Based Practice and Data-Based Decision …
In this article, we reviewed what data-based decision making is and its role in education, the current state of evidence related to inclusive education, and how data-based decision making can be …
WHAT SHOULD COUNT AS DATA FOR DATA-DRIVEN …
case for a variety of forms of data to count as data for data-driven instruction in diverse classrooms, this study drew from a wide range of literature that supports contextualized inquiry, …
Data-driven Decision-Making in Schools Scale: A Study of …
In this study, it was aimed to develop a Likert-type scale that will allow to measure the effectiveness of data-driven decision-making in schools in a valid and reliable way.
What is Data-Driven Instruction? | Resilient Educator
Feb 28, 2023 · Data-driven instruction provides valuable insights into student success beyond what can be gleaned solely from test scores and attendance rates. It can help uncover the …
A Complete 2024 Guide to Data Driven Instruction in Education
Sep 18, 2023 · Data-driven instruction is essential in modern education as it enables educators to make evidence-based decisions and tailor instruction to individual student needs. It helps …
The Ultimate Guide to Data-Driven Instruction - Otus
This guide to Data Driven Instruction will give educators the explanations and resources they need to use data to drive and improve classroom instruction.
What Is Data-Driven Instruction in Education? - HMH
Jun 23, 2023 · Data-driven instruction is a cyclical process that involves three key phases. The first phase is the intentional assessment of student learning; in this phase, assessments gather …
Data Driven Instruction: Definition and 11 Strategies - Prodigy Education
Feb 28, 2019 · Gathering the necessary data to answer the "what", "why", and "how" is the basis for data driven instruction. So, what strategies will help you develop your school’s data culture? …
How Educators Can Use Student Data to Drive Instruction
Jun 11, 2020 · In reality, data-driven instruction looks at the whole picture and uses dynamic student data to gauge individual and classroom comprehension, giving teachers insight into …
How to use data to drive instruction in the classroom?
Nov 13, 2024 · With the vast amounts of data available, it’s crucial to know how to use it to inform instruction and drive student success. In this article, we’ll explore how to use data to drive …
Data-driven Instruction to Improve Learning and Teaching
Description: Data-driven instruction (DDI) enables teachers to make timely and targeted instructional adjustments in their classrooms in order to meet students’ unique needs.
Data-driven instruction - Wikipedia
Data-driven instruction is an educational approach that relies on information to inform teaching and learning. The idea refers to a method teachers use to improve instruction by looking at the …
Data Driven Decision Making In Education Explained
Feb 5, 2025 · Data driven decisions in education use data to enhance learning and optimize teaching methods. By analyzing student performance and behavioral data, educators can …
