Learning Science

To most of us, learning something 'the hard way' implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head and will appeal to all those interested in the challenge of lifelong learning and self-improvement.

Wallace D. Wattles was an American "New Thought" writer who wrote this amazing little book in 1910. It caused a sensation then, and continues to be popular today. In fact, Rhonda Byrne said that part of her inspriation for her best-selling book and film The Secret came from this book.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

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. 

Supporting teachers in their quest to help students learn as effectively and efficiently as possible, The Science of Learning translates 99 of the most important and influential studies on learning into accessible, easily digestible overviews. Building on the bestselling original book, this...

Learning Science and Education Theory Explained: How People Learn, Remember, Stay Motivated, and Benefit from Better Teaching is a clear guide to the ideas that matter most in learning science and education. It explains how attention works, why working memory is limited, how long-term memory is built, and what these limits mean for teaching, training, and self-study. Rather than offering slogans or quick fixes, the book shows why some familiar methods such as rereading, passive review, and last-minute cramming often create the feeling of progress without reliable understanding or recall. ...

The Neuroscience of Learning: How Brain Science and AI Can Elevate Your Learning What if you could learn faster, retain information more effectively, and unlock hidden potential within your mind? In The Neuroscience of Learning, discover the groundbreaking science behind how we learn and the practical applications that can make us all better learners. Blending leading-edge neuroscience with everyday insights, this book offers a transmutative look at how our brains function during learning, the influence of emotions and motivation, and the remarkable ways our brains’ neuroplasticity allows...

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.

A groundbreaking guide to improve teaching based on the latest research in neuroscience, from the bestselling author of A Mind for Numbers. Neuroscientists and cognitive scientists have made enormous strides in understanding the brain and how we learn, but little of that insight has filtered...

Ignite your child’s curiosity in just minutes a day—no screens, no boredom, and no repeated facts, even if your young explorer has heard it all before! Do you wish your child would put down the tablet and pick up a book that’s just as entertaining—and a whole lot more educational? Have you struggled to find a gift that keeps curious minds engaged and learning, without the yawns or eye-rolls? Are you searching for a resource that sparks endless “Wow!” moments, answers their wildest questions, and inspires new adventures far beyond the page? If you nodded yes, you’re in the ...

The companion book to COURSERA's wildly popular massive open online course "Learning How to Learn" Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, A Mind for Numbers offers the tools you need...

Why do some lessons spark instant understanding while others leave learners overwhelmed and confused? Teachers explain carefully. Students read the material. Trainers deliver detailed presentations. Yet the knowledge refuses to stick. The reason is rarely intelligence or effort. The real culprit is something far less obvious: cognitive overload. The human mind is not built to absorb unlimited information at once. Working memory has strict limits. When instruction ignores those limits, learning slows, frustration rises, and even the most motivated students struggle to make sense of what they...

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

“There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within.”—The New York Times...

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.

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether...

Leonard Moore has been teaching Black history for 25 years, mostly to White people. Drawing on decades of experience in the classroom and on college campuses throughout the South, as well as on his own personal history, Moore illustrates how an understanding of Black history is necessary for everyone. With Teaching Black History to White People, which is “part memoir, part Black history, part pedagogy, and part how-to guide”, Moore delivers an accessible and engaging primer on the Black experience in America.

The Art of Doing Science and Engineering is the expression of what “You and Your Research” outlined. It's a book about thinking; more specifically, a style of thinking by which great ideas are conceived. The book is filled with stories of people performing mighty deeds—but they are not meant simply to be admired. Instead, they are to be aspired to, learned from, and surpassed. Hamming consistently returns to Shannon’s information theory, Einstein’s theory of relativity, Grace Hopper’s work on high-level programming, Kaiser’s work on digital filters, and his own work on error-correcting codes.

A groundbreaking look at the science of learning: how it works both in the mind and in the classroom, which teaching techniques are most effective, and how schools should (and absolutely should not) use instructional technology. This is an essential resource for teachers, anyone interested in...