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| data-driven instruction pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: 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 pdf: Data-driven Decision Making for Effective School Leadership Anthony G. Picciano, 2006 Brief ContentsPrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Planning and Developing Information Resources Hardware, Software, and People Educational Research Methods and Tools Teachers and Administrators as Researchers Basic Applications Student Data, Demographics, and Enrollments School and the Community Financial Management and Budgeting Supporting Teaching and Learning Supporting Teachers and Their Professional Development Technical Support Review of Statistical Routines Used in this Book Introduction to Spreadsheet Software Introduction to the Statistical Package for the Social Sciences (SPSS) Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex Contents PrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Rationale for Adopting Data-Driven Decision Making Purpose of This Book Defining Data-Driven Decision Making An Old Idea: Knowledge Is Power Need for Planning The Systems Approach Organization of This Book SummaryReferences Planning and Developing Information Resources School Districts Take the Lead Defining Information Needs Database Management Systems Long-Term and Short-Term Data Resources SummaryCase StudyReferences Hardware, Software, and People A Brief Look at Infrastructure Hardware for Effective Data Management and Access Client-Server Architecture Software for Data Analysis Developing People Resources The Data Analyst SummaryCase StudyReferences Educational Research Methods and Tools The Scientific Method and Educational Research Educational Research Methods Ethnographic Research Historical Research Descriptive Research Correlational Research Causal Comparative Research Experimental Research Action Research Data Collection Tools Direct Observation Structured Interviews Document Analysis Surveys Test Instruments SummaryCase StudyReferences Teachers and Administrators as Researchers Learning Communities Action Research in Action Trial Testing a Peer Tutoring Program Multiple Intelligences in a Foreign Language Program Advancing to an Inclusion Program SummaryActivitiesReferences Basic Applications Student Data, Demographics, and Enrollments Student Data Enrollment Projections at the District Level Attendance Zones and Individual Schools Taking a Census Special Student Populations SummaryActivitiesReferences School and the Community Partnering with the Community: Broad-Based Surveys Anatomy of a Survey Who Will Participate in the Survey? What Data Will Be Collected? Data Analysis Is the Sample Representative of the High School Population? Do Students Have Access to the Internet? The Committee's Next Steps SummaryActivitiesReferences Financial Management and Budgeting Basic Terminology School District Budget School Budget The Canton Alternative School Budget Emergency SummaryActivitiesReferences Supporting Teaching and Learning States, Cities, Districts, Schools, Classes, Teachers, Students Improving Teaching and Learning Jefferson Middle School Developing a Plan Information Overload: A Caution SummaryActivitiesReferences Supporting Teachers and Their Professional Development Summative and Formative Evaluation Collecting Personnel Data Kingsland School District Case Study Keeping Track of Professional Development SummaryActivitiesReferences Technical Support Review of Statistical Routines Used in this Book Key Terms Descriptive Statistical Procedures Frequency Distributions Contingency Tables (Crosstabulations) Measures of Central Tendency Measures of Dispersion Measures of Relationship Correlational Coefficient Linear Regression Caution Introduction to Spreadsheet Software Overview and Key Terms Spreadsheet Structure Data Types and Data Manipulation Charts and Graphics Introduction to the Statistical Package for the Social Sciences (SPSS) Overview The Data Editor Creating a Data Set Defining Variables Transforming Data Options Data Analysis Procedures and the Output Viewer Graphs and Charts Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex. |
| data-driven instruction pdf: 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 pdf: 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 pdf: 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 pdf: Putting FACES on the Data Lyn Sharratt, Michael Fullan, 2012-02-03 Build the bridge from data collection to improved instruction Students are people—not data. How can you use assessment data to focus on reaching every student? This book shows how to develop a common language for sharing all students’ progress with all teachers and leaders, and how to use ongoing assessment to inform instruction. Based on worldwide research of more than 500 educators, the book presents solutions organized by: Assessment Instruction Leadership Ownership The many benefits of personalizing data include increased student engagement and a positive impact on school culture. This reader-friendly guide helps you set goals, adjust lessons, identify students’ strengths and weaknesses, and implement interventions. |
| data-driven instruction pdf: Big Data in Education Ben Williamson, 2017-07-24 Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment! |
| data-driven instruction pdf: 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 pdf: How Learning Works Susan A. Ambrose, Michael W. Bridges, Michele DiPietro, Marsha C. Lovett, Marie K. Norman, 2010-04-16 Praise for How Learning Works How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning. —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching. —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues. —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book. —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning |
| data-driven instruction pdf: 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 pdf: 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 pdf: 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 pdf: Design Patterns Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides, 1995 Software -- Software Engineering. |
| data-driven instruction pdf: School Leadership that Works Robert J. Marzano, Timothy Waters, Brian A. McNulty, 2005 Describes a variety of leaders hip responsibilities that have an effect on student achievement. |
| data-driven instruction pdf: 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 pdf: Exploring the Intersection of Science Education and 21st Century Skills National Research Council, Division of Behavioral and Social Sciences and Education, Center for Education, Board on Science Education, 2010-01-26 An emerging body of research suggests that a set of broad 21st century skills-such as adaptability, complex communication skills, and the ability to solve non-routine problems-are valuable across a wide range of jobs in the national economy. However, the role of K-12 education in helping students learn these skills is a subject of current debate. Some business and education groups have advocated infusing 21st century skills into the school curriculum, and several states have launched such efforts. Other observers argue that focusing on skills detracts attention from learning of important content knowledge. To explore these issues, the National Research Council conducted a workshop, summarized in this volume, on science education as a context for development of 21st century skills. Science is seen as a promising context because it is not only a body of accepted knowledge, but also involves processes that lead to this knowledge. Engaging students in scientific processes-including talk and argument, modeling and representation, and learning from investigations-builds science proficiency. At the same time, this engagement may develop 21st century skills. Exploring the Intersection of Science Education and 21st Century Skills addresses key questions about the overlap between 21st century skills and scientific content and knowledge; explores promising models or approaches for teaching these abilities; and reviews the evidence about the transferability of these skills to real workplace applications. |
| data-driven instruction pdf: Perspectives on Pedagogical Grammar Terence Odlin, 1994-03-25 The author brings together authorities from worldwide to update current theory and research in pedagogical grammar. |
| data-driven instruction pdf: 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 pdf: 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 pdf: The Principal Michael Fullan, 2018-02-21 The author of Six Secrets of Change describes how and why the principal's role must change to maximize student achievement *** FREE Professional Development Guide Included *** Principals are often called the second most crucial in-school influencers (after teachers) of student learning. But what should the principal do in order to maximize student achievement? One of the best-known leadership authors in education, Fullan explains why the answer lies neither in micro-managing instruction nor in autonomous entrepreneurialism. He shows systematically how the principal's role should change, demonstrating how it can be done in short order, at scale. Reveals the three key roles that administrators must play in today's schools Explains how to choose the right versus wrong drivers of school success Filled with action items to help implement Fullan's program effectively Includes strategies that have been successfully field-tested in schools across the United States and Canada |
| data-driven instruction pdf: Data-Driven Dialogue Bruce Wellman, Laura Lipton, 2004-01-01 |
| data-driven instruction pdf: 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 pdf: Teaching at Its Best Linda B. Nilson, 2010-04-20 Teaching at Its Best This third edition of the best-selling handbook offers faculty at all levels an essential toolbox of hundreds of practical teaching techniques, formats, classroom activities, and exercises, all of which can be implemented immediately. This thoroughly revised edition includes the newest portrait of the Millennial student; current research from cognitive psychology; a focus on outcomes maps; the latest legal options on copyright issues; and how to best use new technology including wikis, blogs, podcasts, vodcasts, and clickers. Entirely new chapters include subjects such as matching teaching methods with learning outcomes, inquiry-guided learning, and using visuals to teach, and new sections address Felder and Silverman's Index of Learning Styles, SCALE-UP classrooms, multiple true-false test items, and much more. Praise for the Third Edition of Teaching at Its BestEveryone veterans as well as novices will profit from reading Teaching at Its Best, for it provides both theory and practical suggestions for handling all of the problems one encounters in teaching classes varying in size, ability, and motivation. Wilbert McKeachie, Department of Psychology, University of Michigan, and coauthor, McKeachie's Teaching TipsThis new edition of Dr. Nilson's book, with its completely updated material and several new topics, is an even more powerful collection of ideas and tools than the last. What a great resource, especially for beginning teachers but also for us veterans! L. Dee Fink, author, Creating Significant Learning ExperiencesThis third edition of Teaching at Its Best is successful at weaving the latest research on teaching and learning into what was already a thorough exploration of each topic. New information on how we learn, how students develop, and innovations in instructional strategies complement the solid foundation established in the first two editions. Marilla D. Svinicki, Department of Psychology, The University of Texas, Austin, and coauthor, McKeachie's Teaching Tips |
| data-driven instruction pdf: 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. |
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 …
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 classrooms 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 …
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 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 a …
Data-Driven Instruction for the Classroom - University of …
What is the role of Data-Driven Decision-Making in improving learner engagement, empowerment, and achievement? What factors contribute to the successful implementation of Data-Driven …
Data Driven Instruction
What is Data Driven Instruction? • Share with the person next to you a few words and/or phrases that come to mind when you hear DDI.
Data-Driven Instruction COPYRIGHTED MATERIAL
Successful data-driven instruction depends on four fundamental keys: 1. Assessment. Define the roadmap for rigor. 2. Analysis. Determine where students are struggling and why. 3. Action. …
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 use …
Driven By Data PDF - cdn.bookey.app
Effective data-driven instruction hinges upon the interplay of three critical components: assessment, analysis, and action. These elements form the backbone of an evidence-based …
Data Driven Instruction
The Data Driven Instruction module utilizes a job-embedded approach through three key pillars to ensure successful implementation. In Data Driven Instruction, strong instructional leaders …
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 …
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 …
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 …
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
Data Driven Instruction Guidelines for Implementation - New …
Data Driven Instruction Guidelines for Implementation Purpose: To incorporate the process of using the data from on-going assessments over the duration of a course to inform instruction. The …
How to Use Data-Driven Instruction to Reach Math …
To gain the right insights, we can use an intentional framework that asks: What is a data-driven culture? Why. is there a need for a data-driven culture? How do data-driven cultures look, sound, …
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 collaborative, …
Data Driven Instruction “Shifts” Shifts in Data Driven …
Data Driven Instruction “Shifts” In addition to the twelve shifts that the Common Core requires of us there are also shifts that need to occur in the way we use data. These are the six shifts in Data …
Data-Driven Learning: Tools, Approaches, and Next Steps
Data-Driven Learning: Making actual use of the affordances of digital technology’ and ‘Developing a critical agenda for learning-driven DDL’ respectively.
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 …
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 …
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 …
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 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 …
Data-Driven Instruction for the Classroom - University of …
What is the role of Data-Driven Decision-Making in improving learner engagement, empowerment, and achievement? What factors contribute to the successful implementation of Data-Driven …
Data Driven Instruction
What is Data Driven Instruction? • Share with the person next to you a few words and/or phrases that come to mind when you hear DDI.
Data-Driven Instruction COPYRIGHTED MATERIAL
Successful data-driven instruction depends on four fundamental keys: 1. Assessment. Define the roadmap for rigor. 2. Analysis. Determine where students are struggling and why. 3. Action. …
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 …
Driven By Data PDF - cdn.bookey.app
Effective data-driven instruction hinges upon the interplay of three critical components: assessment, analysis, and action. These elements form the backbone of an evidence-based …
Data Driven Instruction
The Data Driven Instruction module utilizes a job-embedded approach through three key pillars to ensure successful implementation. In Data Driven Instruction, strong instructional leaders …
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 …
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 …
Data-Driven Instruction in the K12 Virtual Learning …
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 …
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
Data Driven Instruction Guidelines for Implementation
Data Driven Instruction Guidelines for Implementation Purpose: To incorporate the process of using the data from on-going assessments over the duration of a course to inform instruction. …
How to Use Data-Driven Instruction to Reach Math …
To gain the right insights, we can use an intentional framework that asks: What is a data-driven culture? Why. is there a need for a data-driven culture? How do data-driven cultures look, …
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 …
Data Driven Instruction “Shifts” Shifts in Data Driven …
Data Driven Instruction “Shifts” In addition to the twelve shifts that the Common Core requires of us there are also shifts that need to occur in the way we use data. These are the six shifts in …
Data-Driven Learning: Tools, Approaches, and Next Steps
Data-Driven Learning: Making actual use of the affordances of digital technology’ and ‘Developing a critical agenda for learning-driven DDL’ respectively.
