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The book examines 28 actionable tactics that you can use immediately to make your instruction easier to learn, remember, and apply. The tactics come from learning, information design, usability, and writing research and includes examples, checklists, and job aids.
Preparing Teachers for Deeper Learning answers an urgent call for teachers who educate children from diverse backgrounds to meet the demands of a changing world. In today’s knowledge economy, teachers must prioritize problem-solving ability, adaptability, critical thinking, and the development of interpersonal and collaborative skills over rote memorization and the passive transmission of knowledge. Authors Linda Darling-Hammond and Jeannie Oakes and their colleagues examine what this means for teacher preparation and showcase the work of programs that are educating for deeper learning, equity, and social justice. Guided by the growing knowledge base in the science of learning and development, the book examines teacher preparation programs at Alverno College, Bank Street College of Education, High Tech High’s Intern Program, Montclair State University, San Francisco Teacher Residency, Trinity University, and University of Colorado Denver. These seven programs share a common understanding of how people learn that shape similar innovative practices. With vivid examples of teaching for deeper learning in coursework and classrooms; interviews with faculty, school partners, and novice teachers; surveys of teacher candidates and graduates; and analyses of curriculum and practices, Preparing Teachers for Deeper Learning depicts transformative forms of teaching and teacher preparation that honor and expand all students’ abilities, knowledges, and experiences, and reaffirm the promise of educating for a better world.
"The best book on high school dynamics I have ever read."--Jay Mathews, Washington Post An award-winning professor and an accomplished educator take us beyond the hype of reform and inside some of America's most innovative classrooms to show what is working--and what isn't--in our schools. What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms--places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at thirty different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule. And yet they find pockets of powerful learning at almost every school, often in electives and extracurriculars as well as in a few mold-breaking academic courses. These spaces achieve depth, the authors argue, because they emphasize purpose and choice, cultivate community, and draw on powerful traditions of apprenticeship. These outliers suggest that it is difficult but possible for schools and classrooms to achieve the integrations that support deep learning: rigor with joy, precision with play, mastery with identity and creativity. This boldly humanistic book offers a rich account of what education can be. The first panoramic study of American public high schools since the 1980s, In Search of Deeper Learning lays out a new vision for American education--one that will set the agenda for schools of the future.
Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
Practice and Feedback for Deeper Learning studies five strategies and 26 specific tactics to promote deeper learning and application from practice and feedback in adult instruction. If you build instructional materials for an applied adult audience, you NEED this book! Practice and feedback are two of the most essential elements of instruction and getting them right is the difference between instruction that doesn't connect and deep learning and application. Practice is where people go from what to how. Feedback offers information needed for next steps. How we implement these two critical elements make all the difference and this book shows how. The strategies and tactics come from training and adult learning research and were selected because of their impact on training and learning outcomes. The five strategies are: Strategy 1: Analyze the Job Context Strategy 2: Practice for Self-direction Strategy 3: Practice for Transfer Strategy 4: Practice for Remembering Strategy 5: Give Effective Feedback These are the strategies and tactics needed to make instruction more relevant and responsive to today's changing workplace and needs. The book is filled with examples, checklists, and job aids to help you apply the tactics in your own situation. Praise for Practice and Feedback for Deeper Learning Practice and Feedback for Deeper Learning is a research-to-practice powerhouse! Filled with golden nuggets of practical insight, Patti Shank's book shares fundamental strategies in a uniquely crisp and coherent manner. A book worthy of being in the personal library of every instructional designer! Will Thalheimer, PhD, President, Work-Learning Research, Inc. Patti Shank's latest addition to her Make It Learnable series, Practice and Feedback for Deeper Learning, is excellent. Every page has something valuable, and you can read it with confidence knowing that Patti has diligently combed through the research evidence to extract the most useful guidelines. This whole series is an invaluable contribution to the field of learning and development. Julie Dirksen, Author, Design for How People Learn, and Learning Strategist, Usable Learning Patti Shank's second book in her Make it Learnable series of books once again hits the mark. In simple, straightforward terms she has boiled down and laid out the research that you need to read as practical approaches; in this case, for practice and feedback. It's a 'must own' reference that every designer should have if you're to create learning experiences that lead to real outcomes. Clark Quinn, PhD, Author and learning technology consultant through Quinnovation It's a pleasure and a professional responsibility to recommend this book. This and Patti's previous book Write and Organize for Deeper Learning should be standard texts for all new learning professionals. Patti's focus on using empirical research for how to design and deliver training is exceptional. Jo Cook, Live online learning and virtual classroom expert, LightbulbMoment.info Patti's book is absolutely brilliant. It covers most (if not all!) fundamentals for effective learning design. It also reminded me that our profession is tough! There are many nuances and subtleties that are extremely important. Patti explains these complicated topics in an understandable and applicable way. Mirjam Neelen, MSc., Learning Experience Design Lead, Accenture
For years, educators have turned to the Hess Cognitive Rigor Matrices (CRM) when it comes to assessment. Now for the first time, the modules are packaged into one resource to help teachers evaluate the quality and premise of their current assessment system.
Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success.
It's been a decade since Lynne Dorfman and Rose Cappelli wrote the first edition of Mentor Texts and helped teachers across the country make the most of high-quality children's literature in their writing instruction. In the second edition of this important book Lynne and Rose show teachers how to help students become confident, accomplished writers by using literature as their foundation. The second edition includes brand-new "Your Turn Lessons," built around the gradual release of responsibility model, offering suggestions for demonstrations and shared or guided writing. Reflection is emphasized as a necessary component to understanding why mentor authors chose certain strategies, literary devices, sentence structures, and words. Lynne and Rose offer new children's book titles in each chapter and in a carefully curated and annotated Treasure Chest. At the end of each chapter a "Think About It--Talk About It--Write About It" section invites reflection and conversation with colleagues. The book is organized around the characteristics of good writing--focus, content, organization, style, and conventions. Rose and Lynne write in a friendly and conversational style, employing numerous anecdotes to help teachers visualize the process, and offer strategies that can be immediately implemented in the classroom. This practical resource demonstrates the power of learning to read like writers.
In this revolutionary book, a renowned computer scientist explains the importance of teaching children the basics of computing and how it can prepare them to succeed in the ever-evolving tech world. Computers have completely changed the way we teach children. We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers. Technology changes every day, but the basic ways that computers can help us learn remain. For thousands of teachers and parents who have sought creative ways to help children learn with computers, Mindstorms is their bible.
