Learning Science

Drawing together the worlds of classroom practice, school leadership, and scientific research, this is an essential how-to guide for initiating and maintaining a school improvement journey based on the science of learning.

A teenage mage of humble birth and slightly above-average skill, Zorian is attending his third year of education at Cyoria's magical academy. A driven and quiet young man, he is consumed by a desire to ensure his own future and free himself of the influence of his family, resenting the Kazinskis for favoring his brothers over him. Consequently, Zorian has no time for pointless distractions, much less other people's problems.

Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. Drawing on a 15-year scientist-teacher collaboration, more than 100 years of research on learning, and rich experiences from educators in K-12 and higher education, the authors present highly accessible step-by-step guidance on how to transform teaching with four essential strategies: Retrieval practice, spacing, interleaving, and feedback-driven metacognition.

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.

The science of reading movement has done much to improve instruction in foundational skills. But that hard-won progress may be reversed unless we also help children acquire the knowledge and vocabulary they need to understand complex text. At the same time, the science of learning movement has introduced many educators to evidence-based teaching principles that can be effective for all students. In Beyond the Science of Reading, Wexler addresses a missing piece of the conversation: the ways in which typical reading comprehension and writing instruction conflict with those principles.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Drs. Barbara Oakley and Terrence Sejnowski's popular Online course Learning How to Learn, has enrolled more than 1.8 million students. In this much needed follow-up to A Mind for Numbers, the authors teach kids and teens how to learn effectively at a time when they most need these skills. Learning How to Learn teaches them about the importance of both focused concentration and letting their minds wander, how the brain makes connections between different pieces of information, why procrastination is the enemy of problem solving, and much more.

How to learn effectively when you have to be both the teacher and student. Work smarter and save yourself countless hours. Self-learning is not just about performing better in the classroom or the office. It’s about being able to aim your life in whatever direction you choose and conquering the obstacles in front of you.

One hundred and ten years ago, Maria Montessori, the first female physician in Italy, devised a very different method of educating children, based on her observations of how they naturally learn. In Montessori, Angeline Stoll Lillard shows that science has finally caught up with Maria Montessori. Lillard presents the research behind nine insights that are foundations of Montessori education, describing how each of these insights is applied in the Montessori classroom.

The concept of small teaching is simple: Small and strategic changes have enormous power to improve student learning. Instructors face unique and specific challenges when teaching an online course. This book offers small teaching strategies that will positively impact the online classroom.

The legendary college football coach and analyst, Lou Holtz once said: "When all is said and done, more is said than done." These few, yet extremely profound words explain one of the biggest predicaments that individuals face today. Many of us as individuals say we want to be successful, happy, and influential. Yet, very, very few of us follow up what we say - whether said to others or ourselves - with specific actions that move us directly toward those goals.

As teachers learn about the science of reading, they're gaining knowledge about the "what," but not so much the "how." In other words, they don't have a clear picture of how to implement research-backed daily reading instruction... until now! Expert primary-level teacher, This audiobook guides listeners through the literacy block, step-by-step—from morning arrival to whole-class and small-group instruction to literacy centers, writing time, and read-aloud. Loaded with teaching, planning, and management tips, sample schedules and routines.

Hugh Howey is known for crafting riveting and immersive tales of boundless imagination. Now comes Machine Learning, an impressive collection of Howey's science fiction and fantasy short fiction, including three stories set in the world of Wool, two never-before-published tales written exclusively for this volume, and 15 additional stories collected here for the first time. These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author's note.

In the wake of white nationalist attacks, the ongoing debate over reparations, and the controversy surrounding Confederate monuments and the contested memories they evoke, Susan Neiman's Learning from the Germans delivers an urgently needed perspective on how a country can come to terms with its historical wrongdoings. Neiman is a white woman who came of age in the civil rights-era South and a Jewish woman who has spent much of her adult life in Berlin.

We’ve never been taught how to learn. This book is the key to reversing all the misconceptions you have, and make learning fun again. Smart Learning is not a textbook - it’s a guidebook for your journey in learning. It will show you the most effective methods, the pitfalls we must avoid, and the habits we must cultivate.

Learning is the key to bettering your circumstances and becoming the person you want to be. Skills, information, and abilities will never come to you - it’s up to you to seek them out, and this audiobook shows you how to do so in the most effective and efficient manner.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Make learning painless, exciting, habitual, and self-motivating. Absorb info like a human sponge. We’ve never been taught how to learn, and that’s a shame. This book is the key to reversing all the misconceptions you have and making learning fun again.

Need networking know-how, but don't know where to turn? Run-don't walk-to the no-nonsense networking guidance offered in this friendly guide! Whether you're a networking administrator or an everyday computer user looking to set up a network in your home or office, Networking for Dummies, seamlessly gets you connected with the basics and gives you the knowledge to work out whatever kinks may come your way-in no time.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.