Highly recommended by bestselling author Marshall Goldsmith The secret to giving better feedback isn’t what we say – it’s what others hear. Too often, people hear about a past they can’t control, not a future they can. That changes with “feedforward” – a radical approach to sharing feedback that unleashes the performance and potential of everyone around us. From managers and coaches trying to energize their teams, to teachers hoping to motivate their students, to parents looking to empower their children, people from all walks of life want others to hear what they have to say. Through a lively blend of stories and studies, The Feedback Fix shows them how by presenting a six-part REPAIR plan that spreads feedforward across boardrooms, classrooms, and even dining rooms. Even with drastic changes in how we work and live, the experiences we create for others – joy or fear, growth or decline, success or failure – still hang on the feedback we share. The Feedback Fix makes a compelling argument for getting what we want by giving others what they need – all while rebuilding the way we lead, learn, and live.

Beat burnout with time-saving best practices for feedback For ELA teachers, the danger of burnout is all too real. Inundated with seemingly insurmountable piles of papers to read, respond to, and grade, many teachers often find themselves struggling to balance differentiated, individualized feedback with the one resource they are already overextended on—time. Matthew Johnson offers classroom-tested solutions that not only alleviate the feedback-burnout cycle, but also lead to significant growth for students. These time-saving strategies built on best practices for feedback help to improve relationships, ignite motivation, and increase student ownership of learning. Flash Feedback also takes teachers to the next level of strategic feedback by sharing: How to craft effective, efficient, and more memorable feedback Strategies for scaffolding students through the meta-cognitive work necessary for real revision A plan for how to create a culture of feedback, including lessons for how to train students in meaningful peer response Downloadable online tools for teacher and student use Moving beyond the theory of working smarter, not harder, Flash Feedback works deeper by developing practices for teacher efficiency that also boost effectiveness by increasing students’ self-efficacy, improving the clarity of our messages, and ultimately creating a classroom centered around meaningful feedback.

Properly crafted and individually tailored feedback on student work boosts student achievement across subjects and grades. In this updated and expanded second edition of her best-selling book, Susan M. Brookhart offers enhanced guidance and three lenses for considering the effectiveness of feedback: (1) does it conform to the research, (2) does it offer an episode of learning for the student and teacher, and (3) does the student use the feedback to extend learning? In this comprehensive guide for teachers at all levels, you will find information on every aspect of feedback, including • Strategies to uplift and encourage students to persevere in their work. • How to formulate and deliver feedback that both assesses learning and extends instruction. • When and how to use oral, written, and visual as well as individual, group, or whole-class feedback. • A concise and updated overview of the research findings on feedback and how they apply to today's classrooms. In addition, the book is replete with examples of good and bad feedback as well as rubrics that you can use to construct feedback tailored to different learners, including successful students, struggling students, and English language learners. The vast majority of students will respond positively to feedback that shows you care about them and their learning. Whether you teach young students or teens, this book is an invaluable resource for guaranteeing that the feedback you give students is engaging, informative, and, above all, effective.

New strategies for feedback that supports a culture of learning The skill set required for observing why students are learning and how teachers influence that is a difficult one to master—yet it’s essential when it comes to driving change and growth in your school. This companion to Feedback to Feed Forward provides a curated collection of strategies to improve your ability to identify desired outcomes, recognize learning in action, collect relevant and accurate evidence, and develop smart, supportive, and effective feedback about a teacher’s impact on learners. And it’s not just leaders, coaches, and administrators who can use this highly accessible how-to. This time around, Tepper and Flynn also address the needs of teachers who double as observers, whether they’re mentoring new teachers, supporting each other or analyzing the effectiveness of their own teaching. No matter your role, you’ll benefit from their expert guidance, as well as: · Authentic classroom examples · Observer think-alouds · Stories from the field with "Give-It-a-Try" tools and "Stop and Think" questions · Follow-up steps specific to your role When classroom observation and feedback are both learner-centered (focused on students) and learning-focused (focused on teachers as learners), they lead to a culture of learning throughout the school. Take this book as your guide, and explore just how effective your feedback can be. Learner-Focused Feedback has been recognized for focusing on practices that have high effect sizes and will help you translate the groundbreaking Visible Learning research into practice. When educators use strategies that have high effects (greater than 0.40), they can accelerate student achievement. The power of the Visible Learning research lies in helping educators understand which factors have the highest impact on student achievement so that educators can begin making strategic decisions based on evidence that will utilize their time, energy, and resources to the best extent possible. The Visible Learning research is based on Professor John Hattie’s unmatched meta-analysis of more than 1,600 research reviews comprising 95,000 studies, involving more than 300 million students—the world’s largest evidence base on what works best in schools to improve student learning. From that research, Dr. Hattie identified more than 250 factors that have an impact on student achievement. View a full list of

The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory

Feedback is arguably the most critical and powerful aspect of teaching and learning. Yet, there remains a paradox: why is feedback so powerful and why is it so variable? It is this paradox which Visible Learning: Feedback aims to unravel and resolve. Combining research excellence, theory and vast teaching expertise, this book covers the principles and practicalities of feedback, including: the variability of feedback, the importance of surface, deep and transfer contexts, student to teacher feedback, peer to peer feedback, the power of within lesson feedback and manageable post-lesson feedback. With numerous case-studies, examples and engaging anecdotes woven throughout, the authors also shed light on what creates an effective feedback culture and provide the teaching and learning structures which give the best possible framework for feedback. Visible Learning: Feedback brings together two internationally known educators and merges Hattie’s world-famous research expertise with Clarke’s vast experience of classroom practice and application, making this book an essential resource for teachers in any setting, phase or country.

Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the power of neural network models Who This Book Is For This book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need! What You Will Learn Set up R packages for neural networks and deep learning Understand the core concepts of artificial neural networks Understand neurons, perceptrons, bias, weights, and activation functions Implement supervised and unsupervised machine learning in R for neural networks Predict and classify data automatically using neural networks Evaluate and fine-tune the models you build. In Detail Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you'll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases. By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book. Style and approach A step-by-step guide filled with real-world practical examples.