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Teacher Educators’ Professional Learning in Communities explores teacher educators' professional development in the communal model of learning. Learning in groups has proved to be a major avenue for s

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.

This book makes unique contributions to the field of practice and understanding of job-embedded learning as it presents findings from seven dissertations that examined aspects of professional learning

This book makes unique contributions to the field of practice and understanding of job-embedded learning as it presents findings from seven dissertations that examined aspects of professional learning

The first reference book to introduce the concept and development of service-learning in China, Service-Learning as a New Paradigm in Higher Education of China provides a full picture of the infusion

Philosophy and Education: Engaging Pathways to Meaningful Learning represents a philosophical approach to learning. It encourages students to think critically and form well-reflected opinions around r

Using React Native, developers can build performant cross-platform native apps much easier than ever before, all with a single programming language: JavaScript. React Native in Action gives iOS, Andro

Get a brisk introduction to building fast, interactive single-page web applications with Vue.js, the popular JavaScript framework that organizes and simplifies web development. With this practical gui

"This book explores new interactive platforms that contain elements related to these senses so that learning is more complete and dynamic between teacher and student. It shows new learning platforms,

This volume sheds light on debates about personalised learning in teacher education by exploring the popular emergence of personalising learning in education and hence its significance in teacher educ

‘Behavioral Neuroscience of Learning and Memory’ brings together the opinions and expertise of some of the world’s foremost neuroscientists in the field of learning and memory research. The volume pro

Who says learning can’t be fun? Summer Bridge Learning for Minecrafters, Bridging Grades K to 1 will keep your kindergartener’s skills fresh all summer long and help them start the school year with a

Who says learning can’t be fun? Summer Bridge Learning for Minecrafters, Bridging Grades 1 to 2 will keep your first grader’s skills fresh all summer long and help them start the school year with a cl

Aurelia is a web framework that makes it much easier to create single page web applications. Aurelia was written with ES6, so modern JavaScript design principles are baked in from the ground level.Aur

The Redux JavaScript library consolidates state in a single object, radically simplifying one of the largest sources of bugs. With Redux in Action, you'll discover how to integrate Redux into your Rea

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

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,

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.

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

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.Key FeaturesExplore machine learning techniques with prominent ope

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

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 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

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,