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This book is designed to equip and inspire current educators and those considering the profession of teaching as they seek to positively impact student lives for years to come. In an age where fewer and fewer educators view teaching as a lifelong profession, this book provides practical strategies for not only surviving, but thriving as a teacher. This book outlines a transformative framework that empowers educators to foster a learning community built upon the strengths of students, their parents, colleagues, community members, and ultimately the strengths of the teachers themselves

What do you do when your learners know what to do but still aren't doing it? Training is created with the goal of changing learners'behaviors, but anyone who has created learning experiences knows that there's a big gap between knowing and doing. You can create an engaging learning experience that informs and helps people remember, but often those people go back to their regular world and continue to do things the same way they always have. In the last few decades, the fields of psychology, behavioral economics, and other behavioral sciences have brought an enormous amount of scientific research into helping people with behavior change. Only a fraction of that research has made its way back into learning design. Talk to the Elephant: Design Learning for Behavior Change shows you how to add critical tools to your learning design toolbox to affect behavior change. You'll find out how to use frameworks and strategies from behavioral science to help you research and analyze challenges, feel more confident that you're solving the right problem, and design and test solutions that can help people with difficult behavior changes. By the end of this book, you'll be able to Map the change journey of your learners and identify their path Assess and clearly communicate the value of the change Use motivation models to better understand what learners really care about Utilize evidence-based models like the COM-B Model to analyze behavior-change challenges Use a diagnostic checklist to determine whether you actually have a training problem Identify behavior-change techniques to address your specific challenges

In far too many classrooms, the emphasis is on instructional strategies that teachers employ rather than on what students should be doing or thinking about as part of their learning. What's more, students'minds are something of a mysterious'black box'for most teachers, so when learning breaks down, they're not sure what went wrong or what to do differently to help students learn.It doesn't have to be this way.Learning That Sticks helps you look inside that black box. Bryan Goodwin and his coauthors unpack the cognitive science underlying research-supported learning strategies so you can sequence them into experiences that challenge, inspire, and engage your students. As a result, you'll learn to teach with more intentionality—understanding not just what to do but also when and why to do it.By way of an easy-to-use six-phase model of learning, this book• Analyzes how the brain reacts to, stores, and retrieves new information.• Helps you'zoom out'to understand the process of learning from beginning to end.• Helps you'zoom in'to see what's going on in students'minds during each phase.Learning may be complicated, but learning about learning doesn't have to be. And to that end, Learning That Sticks helps shine a light into all the black boxes in your classroom and make your practice the most powerful it can be.This product is a copublication of ASCD and McREL.

More than likely, your school is doing the right things. So why won't student achievement budge? Maybe the key is doing the right things right. You may be lacking a straightforward yet powerful tool that can work wonders in aligning expectations and talents: an instructional model. The research leaves little doubt: Instructional models work. Join authors Elizabeth Ross Hubbell and Bryan Goodwin as they explore the variety of instructional models available to today's educators and explain how they can unite teachers and students in identifying—and achieving—classroom goals. It may be just the tool your school has been waiting for, but launching a new instructional model in your school will take lots of staff collaboration and buy in. If that seems like a heavy lift, fear not: Hubbell and Goodwin take you step by step through a process that will help you review and select the right model for your school, initiate and manage the change process, and turn doubters into doers.

Let evidence guide your training.Your training is much more effective when your methods are based on evidence. In this third edition of Evidence-Based Training Methods, Ruth Colvin Clark offers concrete training guidance as she connects research to practice. This book is rich with examples of how research enhances training, and with it as your guide, you can incorporate evidence and learning psychology into your program design, development, and delivery decisions.New in this edition, Clark examines research on feedback with application tips for training as well as on using animations in critical thinking exercises. Games have also inspired a great deal of recent research, leading to updated information about which ones are effective and why. Ultimately, Clark advises focusing on instructional methods that are relatively inexpensive to implement and offers simple, effective changes.

Design Ed provides a foundation for the science of learning and shows how to apply design thinking strategies to drive engagement for digital age learners.Researchers in learning sciences are pioneering instructional technologies that have the capacity to revolutionize the educational system. By combining design thinking methodology with strong theoretical frameworks in the learning sciences, educators can improve learning to help students thrive. This book lays out the intersection between theory, design and reflective practice to help educators understand individual learner differences and the impact of context upon learning. With this foundation, you'll develop the skills you need to design powerful and effective learning experiences, particularly when using digital technologies.Topics covered include:Educators as learning designersShaping experiences for digital age learning through digital media and digital environmentsDesign and format of educational interventionsThe role of reflective practice and evaluating the impact on student learningThroughout the text, the authors emphasize the “why” behind the use of technology and the “how” to enact learning design for all digital age learners.Audience: K-12 educators, curriculum specialists

Products, technologies, and workplaces change so quickly today that everyone is continually learning. Many of us are also teaching, even when it's not in our job descriptions. Whether it's giving a presentation, writing documentation, or creating a website or blog, we need and want to share our knowledge with other people. But if you've ever fallen asleep over a boring textbook, or fast-forwarded through a tedious e-learning exercise, you know that creating a great learning experience is harder than it seems. In Design For How People Learn, Second Edition, you'll discover how to use the key principles behind learning, memory, and attention to create materials that enable your audience to both gain and retain the knowledge and skills you're sharing. Updated to cover new insights and research into how we learn and remember, this new edition includes new techniques for using social media for learning as well as two brand new chapters on designing for habit and best practices for evaluating learning, such as how and when to use tests. Using accessible visual metaphors and concrete methods and examples, Design For How People Learn, Second Edition will teach you how to leverage the fundamental concepts of instructional design both to improve your own learning and to engage your audience.

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This book provides the means for every teacher to build a base of understanding in three essential learning sciences—neuroscience, cognitive psychology, and educational research—as a foundation that they will use throughout their careers. By combining all three fields of the learning sciences, it puts the pieces together in one volume, makes them relevant to the work of every teacher and learner, and fills a gap in teacher education texts. The brain-based principles presented show how the brain and mind work in relation to what we know of behavior and learning in the classroom. The foundational information is presented in a series of key concepts the authors call The CORE. It's based on research done expressly for this book by the University of Oregon, College of Education in collaboration with the Columbia University Department of Neuroscience. Using a technique called saturation evaluation to explore a wealth of research-based resources, these groups identified what could reasonably constitute essential understandings of brain science for teachers. The CORE fundamentals are summarized in a framework comprised of seven Guiding Principles, each amplified by a related set of Big Ideas. Concise, accessible, and structured especially for teacher education, Why Neuroscience Matters in the Classroom is understandable and relevant to all teachers, even those who say they are science shy. Learning points introduce the reader to what's to come and Scenarios summarize the material that's covered, including such topics as neural plasticity and the basics of physical change; how nutrition, exercise, and sleep may affect learning; the major roles that emotion, attitude, and stress play in brain function; and more.

The digital revolution necessitates, but also makes possible, radical changes in how and what we learn. This book describes a set of innovative educational research projects at the MIT Media Laboratory, illustrating how new computational technologies can transform our conceptions of learning, education, and knowledge. The book draws on real-world education experiments conducted in formal and informal contexts: from inner-city schools and university labs to neighborhoods and after-school clubhouses. The papers in this book are divided in four interrelated sections as follows: • Perspectives in Constructionism further develops the intellectual underpinnings of constructionist theory. This section looks closely at the role of perspective-taking in learning and discusses how both cognitive and affective processes play a central role in building connections between old and new knowledge. • Learning through Design analyzes the relationship between designing and learning, and discusses ways that design activities can provide personally meaningful contexts for learning. This section investigates how and why children can learn through the processes of constructing artifacts such as games, textile patterns, robots and interactive devices. • Learning in Communities focuses on the social aspects of constructionist learning, recognizing that how people learn is deeply influenced by the communities and cultures with which they interact. It examines the nature of learning in classroom, inner-city, and virtual communities. • Learning about Systems examines how students make sense of biological, technological, and mathematical systems. This section explores the conceptual and epistemological barriers to learning about feedback, self-organization, and probability, and it discusses new technological tools and activities that can help people develop new ways of thinking about these phenomena.

This fully revised and updated edition of Learning, Creating, and Using Knowledge recognizes that the future of economic well being in today's knowledge and information society rests upon the effectiveness of schools and corporations to empower their people to be more effective learners and knowledge creators. Novak's pioneering theory of education presented in the first edition remains viable and useful. This new edition updates his theory for meaningful learning and autonomous knowledge building along with tools to make it operational ─ that is, concept maps, created with the use of CMapTools and the V diagram.The theory is easy to put into practice, since it includes resources to facilitate the process, especially concept maps, now optimised by CMapTools software. CMapTools software is highly intuitive and easy to use. People who have until now been reluctant to use the new technologies in their professional lives are will find this book particularly helpful. Learning, Creating, and Using Knowledge is essential reading for educators at all levels and corporate managers who seek to enhance worker productivity.

It is impossible to control another person's motivation. But much of the instructor's job involves stimulating learner motivation, and learning environments should ideally be designed toward this goal. Motivational Design for Learning and Performance introduces readers to the core concepts of motivation and motivational design and applies this knowledge to the design process in a systematic step-by-step format. The ARCS model—theoretically robust, rooted in best practices, and adaptable to a variety of practical uses—forms the basis of this problem-solving approach. Separate chapters cover each component of the model—attention, relevance, confidence, and satisfaction—and offer strategies for promoting each one in learners. From there, the motivational design process is explained in detail, supplemented by real-world examples and ready-to-use worksheets. The methods are applied to traditional and alternative settings, including gifted classes, elementary grades, self-directed learning, and corporate training. And the book is geared toward the non-specialist reader, making it accessible to those without a psychology or teaching background. With this guide, the reader learns how to: Identify motivation problems and goals Decide whether the environment or the learners need changing Generate attention, relevance, confidence, and satisfaction in learners Integrate motivational design and instructional design Select, develop, and evaluate motivational materials Plus a wealth of tables, worksheets, measures, and other valuable tools aid in the design process Comprehensive and enlightening, Motivational Design for Learning and Performance furnishes an eminently practical body of knowledge to researchers and professionals in performance technology and instructional design as well as educational psychologists, teachers and trainers.

For more than 25 years, the pioneering research and theories of Norbert Seel have had a profound impact on educational thought in mathematics. In this special tribute, an international panel of researchers present the current state of model-based education: its research, methodology, and technology. Fifteen stimulating, sometimes playful chapters link the multiple ways of constructing knowledge (and domains as diverse as cognitive science, computer science, and philosophy) to the complex real world of skill development; generalize model-based theories into educational settings; and explain how to design and evaluate model-centered learning environments. Extensive reading lists, provocative graphics, and a wealth of cultural touchstones from the Bible to Bob Dylan make Understanding Models for Learning and Instruction an accessible yet thought provoking collection. A sampling of the topics covered: Evidence-based assessment of learning models Translating cognitive theory into educational practice New approaches to tracking mental change over time Applying psychoeducational theory to the hands-on classroom Using games as a strategy for constructing model-centered learning environments Externalizing mental models with Mindtools This synthesis of latest innovations and fresh perspectives on classic constructs makes Understanding Models for Learning and Instruction cutting-edge reading for the researchers and educators in mathematics instruction building the next generation of educational models.

Primary and secondary school students, college students, and corporate employees are all engaging more and more in some form of online or blended online/face-to-face education. Given the large number of pedagogical and design choices that we must make, however, where do we begin when designing new environments? This book argues that it is important for us to consider how technological design choices interact with pedagogical choices and cognitive states to affect learning behaviors. Specifically, this book focuses on synchronous, text-based chat and asks two questions: first, since research has often reported that chat environments promote conversational equity, which features of this technology seem to help create conversational equity; and second, how this change impacts the content of small group discussions. Using ethnographic-style observations and quasi-experimental studies, this book shows how changing conversational media influences (or does not) the resulting discussion among students. Based on these findings, Chatting to Learn examines the broader implications for the design of conversational environments, whether for educational or business use.

This book describes a method of teaching that fosters autonomous learning in all students, including students with disabilities. The pedagogy is based on decades of research on strategy instruction as well as on a theory of learning that claims these four conditions promote self-determined learning in all learners: (1) opportunities to choose expectations for gaining something from a learning challenge, (2) strategies that regulate responses to meet those expectations, (3) comparisons between results and expectations that provoke additional adjustment in expectations and responses, and (4) persistent engagement and adjustment until results match expectations. The pedagogy of self-instruction described in this book anchors these conditions in everyday instruction so students can learn by adjusting to their own expectations. Chapter 1 compares this approach to the teacher-directed methods of direct instruction that require teachers to set expectations for students, control how students respond to them, evaluate the outcomes they produce, and then prescribe adjustments students must make to improve. Chapter 2 provides evidence that too much of special education instruction reflects this teacher-directed approach and as a consequence discourages students from learning how to learn on their own. Chapters 3-6 identify four ways to shift learning control from teachers to students and Chapters 7 and 8 identify the obstacles to achieving this instructional shift in special education. The appendices of the book provide a bibliography of research on self-instruction and direct instruction pedagogies and a validated self-assessment that can evaluate the directedness of your teaching.

What do we mean when we say that'learning environments are increasingly complex'? What do we know about the cognitive processing that occurs during complex learning? How can we provide effective instructional support for students who must learn and apply complex knowledge? These questions, and related issues, have fascinated educators and educational researchers for many years and are they are the focus of this book. As a tribute to Joost Lowyck, professor educational technology at the K.U. Leuven, eminent scholars from around the globe have contributed to a far reaching analysis of complexity in learning environments from a cognitive perspective. The chapter authors summarize what we know now about complexity and make specific suggestions for educational practice and for future research on complexity. The different contributions in the several chapters discuss theoretical accounts and empirical findings about learning, the learner, and learning environments. Wide-ranging topics include current descriptions of our cognitive architecture, new contributions to cognitive load theory, research and evaluation design considerations, motivation to learn, the influence of prior knowledge, the use of simulations and multimedia, alternative instructional methods and interventions, studies of the classroom context for complex learning and mental model-building. This book is a tribute to Joose Lowyck, professor educational technology at the KU Leuven. International scholars provide far reaching analysis of complexity in learning environments from a cognitive perspective. It makes specific suggestions for educational practice and for future research.

The primary goal of instructional design is improving the quality of learning and instruction. Instructional designers have focused on a number of areas of critical concern and developed a variety of techniques to achieve this goal (Reigeluth, 1983, 1999). Critical areas of concern for those who plan, implement and manage instruction include (a) needs assessment (identifying gaps or deficiencies in knowledge and performance to be addressed in instruction); (b) task analysis (identifying the types of knowledge, skills and attitudes to be developed during instruction); (c) learner analysis (determining who the learners are, what they know, relevant differences, etc.); (d) instructional strategies (developing strategies appropriate for the task and learners involved); and (e) assessment and evaluation (determining how to assess individual progress and evaluate programs). There are many books already in print that treat the general domain of instructional design, as well as texts that target each of these areas of concerns. Why then another book on these issues? There are several answers to this question. Many of the available books treat instruction as a formal process that proceeds according to specific and detailed instructional systems development models (see, for example, Dick, Carey & Carey, 2005). Indeed, the US military has created a series of handbooks specifying details of the various instructional development processes (see Department of Defense, 1999).

This volume documents the growth of a new kind of interdisciplinary teamwork that is evolving among practitioners, researchers, teacher educators, and community partners. Its premise: the design of learning environments and the development of theory must proceed in a mutually supportive fashion. Scientific researchers have learned that a prerequisite to studying the kinds of learning that matter is helping to shoulder the responsibility for ensuring that these forms of learning occur. To support and study learning, researchers are increasingly making major and long-term investments in the design and maintenance of contexts for learning. Practitioners are assuming new roles as well, reflecting an increasing awareness of the need to move beyond skillful doing. If developing learning contexts are to be protected within and expanded beyond the systems that surround them, it is necessary to foster professional communities that will support reflection about practice, including the generation and evaluation of rich and flexible environments for student thinking. One consequence of recent reforms is that teachers are increasingly regarding such tasks as central to their professional development.Innovations in Learning: New Environments for Education describes coordinated interaction between educational design on the one hand, and the development of learning theory on the other, through a series of examples. These examples have been chosen because they are continuing, proven programs with evidence of success. Contributors to the volume are researchers and practitioners who have played a role in inventing these programs and have guided their development over a period of years. Rather than choosing illustrations of a pipeline or'application model of research'from research and then to practice, the editors of this volume have selected interventions in which researchers and practitioners work together persistently to forge common understanding. Such activity is necessarily interdisciplinary, often encompassing long spans of time, and is more akin to engineering in the field than to laboratory science. The common themes that emerge from this activity -- for example, the role of tools, talk, and community -- belong exclusively neither to theory nor to practice, but to their intersection in commitment to specific contexts of learning and continuing contributions to practice and underlying theory. This volume is organized into three sections that reflect different levels and kinds of learning contexts. Each of these levels has been the focus of recent cognitive and reform applications to learning and schooling. The first offers examples of effective learning in informal settings; the second discusses innovative approaches to schooling at the classroom level; and the third reviews reforms that regard the entire school as the appropriate unit of change.

This fully revised and updated edition of Learning, Creating, and Using Knowledge recognizes that the future of economic well being in today's knowledge and information society rests upon the effectiveness of schools and corporations to empower their people to be more effective learners and knowledge creators. Novak's pioneering theory of education presented in the first edition remains viable and useful. This new edition updates his theory for meaningful learning and autonomous knowledge building along with tools to make it operational - that is, concept maps, created with the use of CMapTools and the V diagram. The theory is easy to put into practice, since it includes resources to facilitate the process, especially concept maps, now optimised by CMapTools software. CMapTools software is highly intuitive and easy to use. People who have until now been reluctant to use the new technologies in their professional lives are will find this book particularly helpful. Learning, Creating, and Using Knowledge is essential reading for educators at all levels and corporate managers who seek to enhance worker productivity.