Learning How To Fail
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Productive Failure
Design for and turn your failures into meaningful learning experiences Written by a leading global expert on human cognition, productive failure, and learning methods, Productive Failure shows you how to design the experience of failing. Research shows that repeated experiences of intriguing, constructive failure can help students (and our own children, and anyone else we lead) develop creativity and learn more deeply. When carefully curated, failure can become a signal for learning, not the noise detracting from it. The result? Learners gain a lifelong readiness to push themselves outside of their comfort zones, using setbacks as launchpads for learning and innovation. The evidence-based principles in this book are powerful, not only in formal schooling contexts, but also for anyone taking charge of and designing their own lifelong learning. From learning a new language or skill to setting up goals that push you past your limits, this book unpacks the science of Productive Failure and describes design principles—and specific strategies built upon them—that let you harness Productive Failure for your own benefit. Learn and understand the science of failure Apply the research-based Productive Failure framework in classrooms, teams, groups, and organizational settings Learn techniques like retrieval practice, generative problem-solving, motivational hacking, culture building, and so on to deepen learning experiences Reach new levels of critical thinking, innovation, and success by making failure the norm, not the exception, and learning how to cope with it This fascinating and actionable book is a must for educators, parents, managers, leaders, and anyone who needs to help others (or themselves) learn how to learn.
The Culture Playbook
The ultimate handbook for fostering and cultivating a strong team culture, from the New York Times bestselling author of The Culture Code and The Talent Code. “If you are a leader—or if you work with one—and want to understand how to build psychological safety, trust, and a sense of purpose for your team, then you need this book.”—Charles Duhigg, author of The Power of Habit ONE OF THE BEST BOOKS OF THE YEAR: Forbes Building a team has never been harder than it is right now. How do you create connection and trust? How do you stay focused on your goals? In his years studying the ways successful groups work together, Daniel Coyle has spent time with elite teams around the world, observing the ways they support each other, manage conflict, and move toward a common goal. In The Culture Playbook, he distills everything he has learned into sixty concrete, actionable tips and exercises that will help your team build a cohesive, positive culture. Great cultures, Coyle has found, are built on three essential skills: safety, vulnerability, and purpose. Within this framework, he shows us how we can better serve our teammates, ourselves, and our shared purpose, including: • scheduling regular team “tune-ups” to place an explicit spotlight on the team’s inner workings and create conversations that surface and improve team dynamics • creating spaces for remote coworkers to connect with their colleagues to foster a team spirit even across distances • holding an anxiety party to serve as a pressure-relief valve, as well as a platform for people to connect and solve problems together With reflections, exercises, and practical tips that will prove invaluable to companies, athletes, and families alike, and replete with black-and-white illustrations, The Culture Playbook is an indispensable guide to ensuring that your team performs at its best.
Learning Theory and Kernel Machines
Author: Bernhard Schoelkopf
language: en
Publisher: Springer Science & Business Media
Release Date: 2003-08-11
This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Kernel 2003, held in Washington, DC in August 2003. The 47 revised full papers presented together with 5 invited contributions and 8 open problem statements were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections on kernel machines, statistical learning theory, online learning, other approaches, and inductive inference learning.