Learning How to Learn
Learning How to Learn

Author: Barbara Oakley, PhD

Publisher: Penguin

Published: 2018-08-07

Total Pages: 258

ISBN-13: 052550446X

DOWNLOAD EBOOK

A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

Powerful Learning
Powerful Learning

Author: Linda Darling-Hammond

Publisher: John Wiley & Sons

Published: 2015-07-15

Total Pages: 318

ISBN-13: 1119181763

DOWNLOAD EBOOK

In Powerful Learning, Linda Darling-Hammond and an impressive list of co-authors offer a clear, comprehensive, and engaging exploration of the most effective classroom practices. They review, in practical terms, teaching strategies that generate meaningful K–2 student understanding, and occur both within the classroom walls and beyond. The book includes rich stories, as well as online videos of innovative classrooms and schools, that show how students who are taught well are able to think critically, employ flexible problem-solving, and apply learned skills and knowledge to new situations.

Who Owns the Learning?
Who Owns the Learning?

Author: Alan November

Publisher: Solution Tree Press

Published: 2012-05-25

Total Pages: 187

ISBN-13: 1935542591

DOWNLOAD EBOOK

Learn how to harness students’ natural curiosity to develop self-directed learners. Discover how technology allows students to take ownership of their learning, create and share learning tools, and participate in work that is meaningful to them and others. Real-life examples illustrate how every student can become a teacher and a global publisher. The embedded QR codes link to supporting websites.

How Learning Works
How Learning Works

Author: Susan A. Ambrose

Publisher: John Wiley & Sons

Published: 2010-04-16

Total Pages: 336

ISBN-13: 0470617608

DOWNLOAD EBOOK

Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

Clarity for Learning
Clarity for Learning

Author: John Almarode

Publisher: Corwin Press

Published: 2018-10-24

Total Pages: 241

ISBN-13: 1506384722

DOWNLOAD EBOOK

An essential resource for student and teacher clarity With the ever-changing landscape of education, teachers and leaders often find themselves searching for clarity in a sea of standards, curriculum resources, and competing priorities. Clarity for Learning offers a simple and doable approach to developing clarity and sharing it with students through five essential components: crafting learning intentions and success criteria co-constructing learning intentions and success criteria with learners creating opportunities for students to respond effective feedback on and for learning students and teachers sharing learning and progress The book is full of examples from teachers and leaders who have shared their journey, struggles, and successes for readers to use to propel their own work forward.

When You Wonder, You're Learning
When You Wonder, You're Learning

Author: Gregg Behr

Publisher: Hachette Go

Published: 2021-04-20

Total Pages: 253

ISBN-13: 0306874725

DOWNLOAD EBOOK

With lessons from Mister Rogers’ Neighborhood and examples from the acclaimed education network Remake Learning, this book brings Mister Rogers into the digital age, helping parents and teachers raise creative, curious, caring kids. Authors Gregg Behr and Ryan Rydzewski know there’s more to Mister Rogers than his trademark cardigan sweaters. To them, Mister Rogers’ Neighborhood isn’t just a children’s program — it’s a proven blueprint for raising happier, healthier kids. As young people grapple with constant reminders that the world isn’t always kind, parents and teachers can look to Fred Rogers: an ingenious scientist and legendary caregiver who was decades ahead of his time. When You Wonder, You’re Learning reveals this never-before-seen side of America’s favorite neighbor, exploring how Rogers nurtured the “tools for learning” now deemed essential for school, work, and life. These tools can boost academic performance, social-emotional well-being, and even physical health. They cost almost nothing to develop, and they’re up to ten times more predictive of children’s success than test scores. No wonder it’s been called “a must-read for anyone who cares about children.” With insights from thinkers, scientists, and teachers — many of whom worked with Rogers himself — When You Wonder, You’re Learning helps kids and the people who care for them do what Rogers taught best: become the best of whoever they are.

Visible Learning: Feedback
Visible Learning: Feedback

Author: John Hattie

Publisher: Routledge

Published: 2018-08-15

Total Pages: 201

ISBN-13: 042993887X

DOWNLOAD EBOOK

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.

Leaving to Learn: How Out-of-School Learning Increases Student Engagement and Reduces Dropout Rates
Leaving to Learn: How Out-of-School Learning Increases Student Engagement and Reduces Dropout Rates

Author: Elliot Washor, Charles Mojkowski

Publisher: Urban Fox Studios

Published: 2013-10-11

Total Pages: 192

ISBN-13: 0325050724

DOWNLOAD EBOOK

In this provocative book, authors Washor and Mojkowski observe that beneath the worrisome levels of dropouts from our nation’s high school lurks a more insidious problem: student disengagement from school and from deep and productive learning. To keep students in school and engaged as productive learners through to graduation, schools must provide experiences in which all students do some of their learning outside school as a formal part of their programs of study. All students need to leave school—frequently, regularly, and, of course, temporarily—to stay in school and persist in their learning. To accomplish this, schools must combine academic learning with experiential learning, allowing students to bring real-world learning back into the school, where it should be recognized, assessed, and awarded academic credit. Learning outside of school, as a complement to in-school learning, provides opportunities for deep engagement in rigorous learning.

The Book of Learning and Forgetting
The Book of Learning and Forgetting

Author: Frank Smith

Publisher: Teachers College Press

Published: 1998-04-02

Total Pages: 0

ISBN-13: 9780807737507

DOWNLOAD EBOOK

In this thought-provoking book, Frank Smith explains how schools and educational authorities systematically obstruct the powerful inherent learning abilities of children, creating handicaps that often persist through life. The author eloquently contrasts a false and fabricated “official theory” that learning is work (used to justify the external control of teachers and students through excessive regulation and massive testing) with a correct but officially suppressed “classic view” that learning is a social process that can occur naturally and continually through collaborative activities. This book will be crucial reading in a time when national authorities continue to blame teachers and students for alleged failures in education. It will help educators and parents to combat sterile attitudes toward teaching and learning and prevent current practices from doing further harm.

Deep Learning
Deep Learning

Author: Ian Goodfellow

Publisher: MIT Press

Published: 2016-11-10

Total Pages: 801

ISBN-13: 0262337371

DOWNLOAD EBOOK

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.