Collaborative Learning

The first monograph on Snarkitecture, a New York-based collaborative and innovative design studioFast becoming one of the world's most sought-after studios, Snarkitecture has designed installations, a

An introduction to machine learning that includes the fundamental techniques, methods, and applications Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concept

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric conve

This integrated collection of perspectives on the spaces of teaching and learning uses ‘learning space’ to place educational practice in context. It considers the complex relationships involved in the

Machine learning can be a difficult subject if you’re not familiar with the basics. With this book, you'll get a solid foundation of introductory principles used in machine learning with the sta

Learning Architectures in Higher Education restores criticality and rigour to the study of communities of practice as a means of understanding learning, acknowledging that this is one of the most

Inquiry, laboratory, project-based learning, discovery learning—which science instructional approach is most effective? In Visible Learning for Science, the authors reveal that it’s not wh

Drawing from research in developmental and educational psychology, cognitive science, and the learning sciences, Five Teaching and Learning Myths—Debunked addresses some of the most commonly misunders

Drawing from research in developmental and educational psychology, cognitive science, and the learning sciences, Five Teaching and Learning Myths—Debunked addresses some of the most commonly misunders

Practical, up-to-date guidance on identifying Specific Learning Disability Essentials of Specific Learning Disability Identification provides accessible, authoritative guidance on specific learning di

In this book, David Lehman, the longtime series editor of the Best American Poetry, offers a masterclass in writing in form and collaborative composition. An inspired compilation of his weekly column

When ‘turn that %#*@{& thing off!’ isn’t enough… As personal technology becomes ever-present in the classroom and rehearsal studio, its use and ubiquity is affecting the collaborative behaviors th

When ‘turn that %#*@{& thing off!’ isn’t enough… As personal technology becomes ever-present in the classroom and rehearsal studio, its use and ubiquity is affecting the collaborative behaviors th

Designing for Learning in a Networked World provides answers to the following questions: what skills are required for living in a networked world; how can educators design for learning these skills an

Deep Learning is now ubiquitous with applied machine learning. All of the technology giants (e.g. Google, Microsoft, Apple, etc.) are focusing on deep learning based techniques for data analytics and

"This volume brings together design thinking, critical social theory, and learning sciences to describe promising learning innovations that foster rights, dignity, and social justice for youth. Each o

Originally published in 1989, this title presents a view of adaptive behaviour which integrates both evolutionary and psychological perspectives on learning. The study of learning, and in particular c

Learn how to solve challenging machine learning problems with Tensorflow, Google’s revolutionary new system for deep learning. If you have some background with basic linear algebra and calculus,

A comprehensive guide for teachers to establish collaborative relationships with parents/families and the larger community. Families, Schools, and Communities: Building Partnerships for Educating Ch

Investigating children’s learning through dance and drawing telling, Dance-Play and Drawing as Semiotic Tools for Young Children’s Learning provides a unique insight into how these activities can help

Social anthropologist Jean Lave and computer scientist Etienne Wenger’s seminal Situated Learning helped change the fields of cognitive science and pedagogy by approaching learning from a novel angle.

The New York Times bestselling authors of The Carrot Principle and All In deliver a breakthrough, groundbreaking guide for building today’s most collaborative teams—so any organization can operate at

This collaborative book explores the artistic and aesthetic development of shojo, or girl, manga and discusses the significance of both shojo manga and the concept of shojo, or girl culture. It featur

Although the difficulties many students encounter when learning chemistry have been known and explored for decades, there is no consensus on how best to assist and assess their learning. Over the past

A collaborative close reading of A Thousand Plateaus by some of the world's leading Deleuze and Guattari scholarsThis volume brings together a team of international specialists on Deleuze and Guattari

A collaborative close reading of A Thousand Plateaus by some of the world's leading Deleuze and Guattari scholarsThis volume brings together a team of international specialists on Deleuze and Guattari

This innovative book focuses on the relationships among self-regulated language learning strategies, students' individual characteristics, and the diverse contexts in which learning occurs. It present

Motivation, Learning, and Technology is a fresh, thorough, and practical introduction to motivational research, theories, and applications for learning and instruction. Written for both instructional

This collaborative volume? discusses the One Belt One Road, or the New Silk Road, initiative of Chinese President Xi Jinping from the perspectives of the Belt and Road countries. This initiative has b

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosyste

Informal Learning at Work reflects the growing interest in changing the way the workplace encourages and enhances learning and professional development. Due to societal, economic, and technological de

Informal Learning at Work reflects the growing interest in changing the way the workplace encourages and enhances learning and professional development. Due to societal, economic, and technological de

This book is a result of a collaborative research project addressing "The Implementation of the New Insolvency Regulation-Improving Cooperation and Mutual Trust." The project was undertaken by the Max

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer

Suite Detroit: Sounds of an American City was commissioned by the Music Teachers National Association to provide young musicians with the experience of collaborative music making. Each of the three mo

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks. Privacy-preserving mechanisms and the near-optimal evasion of classifiers are discussed in detail, and in-depth case studies on email spam and network security highlight successful attacks on traditional machine learning algorithms. Providing a thorough overview of the current state of the art in the field, and possible future directions, this groundbreaking work is essential reading for researchers, practitioners and students in computer security and machine learning,

Featuring an evidence-based, cognitive-behavioral framework for delivering collaborative consultation in K-12 schools, this new book promotes the idea of equitable educational opportunities for all st

Design high-impact professional learning programs with results-based evaluationsYou want to make sure that the time, effort, and resources you are investing in your professional learning programs is t

Mobile Learning and Higher Education provides case studies of mobile learning in higher education settings to showcase how devices can transform learning at the undergraduate and graduate levels. With

Connecting Research and Practice for Educational Improvement presents powerful arguments and richly illustrated cases for how more collaborative relationships between researchers and educators can yie