| data-driven instruction examples: 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 examples: 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 examples: 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 examples: 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 examples: 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 examples: 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 examples: 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 examples: 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 examples: 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 examples: 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 examples: 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 examples: 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 examples: The Knowledge Gap Natalie Wexler, 2020-08-04 The untold story of the root cause of America's education crisis--and the seemingly endless cycle of multigenerational poverty. It was only after years within the education reform movement that Natalie Wexler stumbled across a hidden explanation for our country's frustrating lack of progress when it comes to providing every child with a quality education. The problem wasn't one of the usual scapegoats: lazy teachers, shoddy facilities, lack of accountability. It was something no one was talking about: the elementary school curriculum's intense focus on decontextualized reading comprehension skills at the expense of actual knowledge. In the tradition of Dale Russakoff's The Prize and Dana Goldstein's The Teacher Wars, Wexler brings together history, research, and compelling characters to pull back the curtain on this fundamental flaw in our education system--one that fellow reformers, journalists, and policymakers have long overlooked, and of which the general public, including many parents, remains unaware. But The Knowledge Gap isn't just a story of what schools have gotten so wrong--it also follows innovative educators who are in the process of shedding their deeply ingrained habits, and describes the rewards that have come along: students who are not only excited to learn but are also acquiring the knowledge and vocabulary that will enable them to succeed. If we truly want to fix our education system and unlock the potential of our neediest children, we have no choice but to pay attention. |
| data-driven instruction examples: 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 examples: 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 examples: Checking for Understanding Douglas Fisher, Nancy Frey, 2015-12-18 A teacher presents a lesson, and at the end asks students if they understand the material. The students nod and say they get it. Later, the teacher is dismayed when many of the students fail a test on the material. Why aren’t students getting it? And, just as important, why didn’t the teacher recognize the problem? In Checking for Understanding, Douglas Fisher and Nancy Frey show how to increase students’ understanding with the help of creative formative assessments. When used regularly, formative assessments enable every teacher to determine what students know and what they still need to learn. Fisher and Frey explore a variety of engaging activities that check for and increase understanding, including interactive writing, portfolios, multimedia presentations, audience response systems, and much more. This new 2nd edition of Checking for Understanding has been updated to reflect the latest thinking in formative assessment and to show how the concepts apply in the context of Fisher and Frey’s work on gradual release of responsibility, guided instruction, formative assessment systems, data analysis, and quality instruction. Douglas Fisher and Nancy Frey are the creators of the Framework for Intentional and Targeted (FIT) Teaching™. They are also the authors of numerous ASCD books, including The Formative Assessment Action Plan: Practical Steps to More Successful Teaching and Learning and the best-selling Enhancing RTI: How to Ensure Success with Effective Classroom Instruction and Intervention. |
| data-driven instruction examples: Data-Driven Dialogue Bruce Wellman, Laura Lipton, 2004-01-01 |
| data-driven instruction examples: Data Science in Education Using R Ryan A. Estrellado, Emily Freer, Joshua M. Rosenberg, Isabella C. Velásquez, 2020-10-26 Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a learn by doing approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development. |
| data-driven instruction examples: Understanding by Design Grant P. Wiggins, Jay McTighe, 2005 What is understanding and how does it differ from knowledge? How can we determine the big ideas worth understanding? Why is understanding an important teaching goal, and how do we know when students have attained it? How can we create a rigorous and engaging curriculum that focuses on understanding and leads to improved student performance in today's high-stakes, standards-based environment? Authors Grant Wiggins and Jay McTighe answer these and many other questions in this second edition of Understanding by Design. Drawing on feedback from thousands of educators around the world who have used the UbD framework since its introduction in 1998, the authors have greatly revised and expanded their original work to guide educators across the K-16 spectrum in the design of curriculum, assessment, and instruction. With an improved UbD Template at its core, the book explains the rationale of backward design and explores in greater depth the meaning of such key ideas as essential questions and transfer tasks. Readers will learn why the familiar coverage- and activity-based approaches to curriculum design fall short, and how a focus on the six facets of understanding can enrich student learning. With an expanded array of practical strategies, tools, and examples from all subject areas, the book demonstrates how the research-based principles of Understanding by Design apply to district frameworks as well as to individual units of curriculum. Combining provocative ideas, thoughtful analysis, and tested approaches, this new edition of Understanding by Design offers teacher-designers a clear path to the creation of curriculum that ensures better learning and a more stimulating experience for students and teachers alike. |
| data-driven instruction examples: High-Impact Instruction Jim Knight, 2013 Small changes can lead to big results! Best-selling author Jim Knight presents the high-leverage strategies that make the biggest difference in student learning. Featuring checklists, numerous observation tools, and online videos of teachers implementing the practices, this revolutionary book focuses on the three areas of high-impact instruction: Content planning, including using guiding questions, learning maps, and formative assessment Instructional practices such as the use of thinking prompts, effective questions, challenging assignments, and experiential learning Community building, in which you shape a classroom culture that promotes well-being, creativity, learning, and high expectations |
| data-driven instruction examples: Get Better Faster Paul Bambrick-Santoyo, 2016-07-25 Effective and practical coaching strategies for new educators plus valuable online coaching tools Many teachers are only observed one or two times per year on average—and, even among those who are observed, scarcely any are given feedback as to how they could improve. The bottom line is clear: teachers do not need to be evaluated so much as they need to be developed and coached. In Get Better Faster: A 90-Day Plan for Coaching New Teachers, Paul Bambrick-Santoyo shares instructive tools of how school leaders can effectively guide new teachers to success. Over the course of the book, he breaks down the most critical actions leaders and teachers must take to achieve exemplary results. Designed for coaches as well as beginning teachers, Get Better Faster is an integral coaching tool for any school leader eager to help their teachers succeed. Get Better Faster focuses on what's practical and actionable which makes the book's approach to coaching so effective. By practicing the concrete actions and micro-skills listed in Get Better Faster, teachers will markedly improve their ability to lead a class, producing a steady chain reaction of future teaching success. Though focused heavily on the first 90 days of teacher development, it's possible to implement this work at any time. Junior and experienced teachers alike can benefit from the guidance of Get Better Faster while at the same time closing existing instructional gaps. Featuring valuable and practical online training tools available at http://www.wiley.com/go/getbetterfaster, Get Better Faster provides agendas, presentation slides, a coach's guide, handouts, planning templates, and 35 video clips of real teachers at work to help other educators apply the lessons learned in their own classrooms. Get Better Faster will teach you: The core principles of coaching: Go Granular; Plan, Practice, Follow Up, Repeat; Make Feedback More Frequent Top action steps to launch a teacher’s development in an easy-to-read scope and sequence guide It also walks you through the four phases of skill building: Phase 1 (Pre-Teaching): Dress Rehearsal Phase 2: Instant Immersion Phase 3: Getting into Gear Phase 4: The Power of Discourse Perfect for new educators and those who supervise them, Get Better Faster will also earn a place in the libraries of veteran teachers and school administrators seeking a one-stop coaching resource. |
| data-driven instruction examples: 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 examples: 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 examples: Strategy Instruction for Students with Learning Disabilities, Second Edition Robert Reid, Torri Ortiz Lienemann, Jessica L. Hagaman, 2013-09-16 Practical and accessible, this book provides the first step-by-step guide to cognitive strategy instruction, which has been shown to be one of the most effective instructional techniques for students with learning problems. Presented are proven strategies that students can use to improve their self-regulated learning, study skills, and performance in specific content areas, including written language, reading, and math. Clear directions for teaching the strategies in the elementary or secondary classroom are accompanied by sample lesson plans and many concrete examples. Enhancing the book's hands-on utility are more than 20 reproducible worksheets and forms-- |
| data-driven instruction examples: 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 examples: 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-driven instruction examples: 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 examples: 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-driven instruction examples: 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 examples: Simplifying Response to Intervention Austin Buffum, Mike Mattos, Chris Weber, 2011-10-29 The sequel to Pyramid Response to Intervention advocates that a successful RTI model begins by asking the right questions to create a fundamentally effective learning environment for every student. RTI is not a series of implementation steps, but rather a way of thinking. Understand why bureaucratic, paperwork-heavy, compliance-oriented, test-score-driven approaches fail. Then learn how to create a focused RTI model that works. |
| data-driven instruction examples: The Impact Cycle Jim Knight, 2017-07-28 Jim Knight introduces an all-new instructional coaching cycle for ensuring teachers and, in turn, their students improve in clear, measurable ways. |
| data-driven instruction examples: 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 examples: Cases of Teachers' Data Use Nicole Barnes, Helenrose Fives, 2018-04-27 Cases of Teachers’ Data Use addresses applications of student data beyond theoretical, school-, and district-level examinations by presenting case studies of teachers’ data use in practice. Within the context of data-driven education reform policies, the authors examine the effective and ineffective ways that teachers make use of student data in instruction, evaluation, and planning. Promising practices, based on the empirical research presented, offer strategies and routines for sound data use that can be applied in schools. Chapters written by scholars from diverse methodological perspectives offer readers multiple lenses to use in considering issues of data use such that current theoretical assumptions may be challenged and the field advanced. This uniquely focused yet comprehensive work is an indispensable resource for researchers and students interested in classroom assessment and for professionals looking to support teachers’ use of student performance data for adaptive instruction. |
| data-driven instruction examples: The Data Toolkit Robert T. Hess, Pam Robbins, 2012 The authors provide ten easy-to-use data analysis tools that facilitate problem-solving at school and district levels. Included are instructions, sample scenarios, and case studies. |
| data-driven instruction examples: The Rust Programming Language (Covers Rust 2018) Steve Klabnik, Carol Nichols, 2019-09-03 The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions. |
| data-driven instruction examples: Design Patterns Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides, 1995 Software -- Software Engineering. |
| data-driven instruction examples: Instructional Coaching Jim Knight, 2007-05-01 An innovative professional development strategy that facilitates change, improves instruction, and transforms school culture! Instructional coaching is a research-based, job-embedded approach to instructional intervention that provides the assistance and encouragement necessary to implement school improvement programs. Experienced trainer and researcher Jim Knight describes the nuts and bolts of instructional coaching and explains the essential skills that instructional coaches need, including getting teachers on board, providing model lessons, and engaging in reflective conversations. Each user-friendly chapter includes: First-person stories from successful coaches Sidebars highlighting important information A Going Deeper section of suggested resources Ready-to-use forms, worksheets, checklists, logs, and reports |
| data-driven instruction examples: Assessment for Reading Instruction, Third Edition Michael C. McKenna, Katherine A. Dougherty Stahl, 2015-06-23 This book has been replaced by Assessment for Reading Instruction, Fourth Edition, ISBN 978-1-4625-4157-7. |
| data-driven instruction examples: 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 examples: Data-driven Instruction Lance E. Bedwell, 2004 |
A SCHOOL LEADER’S GUIDE TO USING DATA TO ENRICH …
find and use good data. Use this for teaching points during a practical professional development exercise for your teachers. Next, you’ll find information about what a data wall is and how to …
Case Examples and Templates Used for Data Informed …
The following PLC Binder includes several components that help schools implement data driven instruction. A reminder of why we are doing this - to identify what students need as they learn. …
Data-driven Instruction to Improve Learning and Teaching
Data-driven Instruction to Improve Learning and Teaching Description: Data-driven instruction (DDI) enables teachers to make timely and targeted instructional adjustments in their …
Using Student Achievement Data to Support Instructional …
the effectiveness of data use interventions, case studies of schools and districts that have made data-use a priority, and obser - vations from other experts in the field. The research base for …
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 …
Five steps for structuring data‐informed conversations and …
It walks users through five key steps in using data for decisionmaking and strategic action: setting the stage, examining the data, understanding the findings, developing an action plan, and …
A Practical Guide for Building a Data-Driven Tier Instructional …
Using data to guide instructional decisions and assess student progress are at the heart of building a strong foundational program. Section 3 examines decisions that exist beyond
Driven By Data A Practical Guide To Improve Instruction Paul …
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 …
Examples Of Data Driven Instruction (PDF)
Examples Of Data Driven Instruction: Driven by Data Paul Bambrick-Santoyo,2010-04-12 Offers a practical guide for improving schools dramatically that will enable all students from all …
Building a Collaborative, Data-Driven School Culture to …
case study illustrates how one principal’s National Institute for School Leadership (NISL) Executive Development Program (EDP) experience and NISL coaching helped him to build a …
RTI: Data-Based Decision Making - Vanderbilt University
Data-based decision making is a central concept in RTI . School personnel collect screening and progress monitoring data and then base their instructional decisions on these data .
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 …
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 …
Using Data To Drive Instruction: Teachers’ Experiences of Data …
Hiring teachers who believe in data-driven instruction. School leaders in this sample realized that not all teachers would want to work in an environment with high levels of pressure related to …
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 …
Driven By Data A Practical Guide To Improve Instruction
Use Data to Inform Instruction: Based on the analysis, adjust your instructional strategies to better meet the needs of your students. This might involve differentiating instruction, providing …
Data-Informed Instruction - Colorado Department of Education
In this guide, we define Data-Informed Instructionas a robust set of ongoing practices that focuses on assessing student learning, analyzing assessment data, and adjusting instruction in …
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 …
Using Data to Inform Instructional Practice - ed
Apr 30, 2011 · Data Driven Instructional Systems- Design created within schools to allow the flow of informational data on student learning to be used to increase student achievement …
How to Use Data-Driven Instruction to Reach Math …
There are many aspects to a data-driven culture, but two characteristics are fundamental to the creation of a transformative environment that drives excellence: building ongoing capacity and …
A SCHOOL LEADER’S GUIDE TO USING DATA TO ENRICH …
find and use good data. Use this for teaching points during a practical professional development exercise for your teachers. Next, you’ll find information about what a data wall is and how to …
Case Examples and Templates Used for Data Informed …
The following PLC Binder includes several components that help schools implement data driven instruction. A reminder of why we are doing this - to identify what students need as they learn. …
Data-driven Instruction to Improve Learning and Teaching
Data-driven Instruction to Improve Learning and Teaching Description: Data-driven instruction (DDI) enables teachers to make timely and targeted instructional adjustments in their …
Using Student Achievement Data to Support Instructional …
the effectiveness of data use interventions, case studies of schools and districts that have made data-use a priority, and obser - vations from other experts in the field. The research base for …
Principles of Data-Driven Instruction - The University of …
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 …
Five steps for structuring data‐informed conversations and …
It walks users through five key steps in using data for decisionmaking and strategic action: setting the stage, examining the data, understanding the findings, developing an action plan, and …
A Practical Guide for Building a Data-Driven Tier …
Using data to guide instructional decisions and assess student progress are at the heart of building a strong foundational program. Section 3 examines decisions that exist beyond
Driven By Data A Practical Guide To Improve 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 …
Examples Of Data Driven Instruction (PDF)
Examples Of Data Driven Instruction: Driven by Data Paul Bambrick-Santoyo,2010-04-12 Offers a practical guide for improving schools dramatically that will enable all students from all …
Building a Collaborative, Data-Driven School Culture to …
case study illustrates how one principal’s National Institute for School Leadership (NISL) Executive Development Program (EDP) experience and NISL coaching helped him to build a …
RTI: Data-Based Decision Making - Vanderbilt University
Data-based decision making is a central concept in RTI . School personnel collect screening and progress monitoring data and then base their instructional decisions on these data .
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 …
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 …
Using Data To Drive Instruction: Teachers’ Experiences of …
Hiring teachers who believe in data-driven instruction. School leaders in this sample realized that not all teachers would want to work in an environment with high levels of pressure related to …
Data-Driven Instructional Practices: Why They Work
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 …
Driven By Data A Practical Guide To Improve Instruction
Use Data to Inform Instruction: Based on the analysis, adjust your instructional strategies to better meet the needs of your students. This might involve differentiating instruction, providing …
Data-Informed Instruction - Colorado Department of Education
In this guide, we define Data-Informed Instructionas a robust set of ongoing practices that focuses on assessing student learning, analyzing assessment data, and adjusting instruction in …
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 …
Using Data to Inform Instructional Practice - ed
Apr 30, 2011 · Data Driven Instructional Systems- Design created within schools to allow the flow of informational data on student learning to be used to increase student achievement …
How to Use Data-Driven Instruction to Reach Math …
There are many aspects to a data-driven culture, but two characteristics are fundamental to the creation of a transformative environment that drives excellence: building ongoing capacity and …
