Intergenerational Learning

Continuity and Discontinuity in Learning Careers: Potentials for a Learning Space in a Changing World focuses on the continuities and discontinuities of the learning careers and identities of non-trad

Foreword by Oliver Schabenberger, PhDExecutive Vice President, Chief Operating Officer and Chief Technology Officer SASDive into deep learning! Machine learning and deep learning are ubiquitous in our

This book constitutes the proceedings of the 17th International Conference on Web-Based Learning, ICWL 2018, held in Chiang Mai, Thailand, in August 2018.The 11 revised full papers presented together with 4 short papers were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on learning assessment and behavior; case studies; augmented reality and collaborative learning; game-based learning; and learning content management and experience sharing.

Jumpstart meaningful learning for students with new Learning Challenge lessons Twenty new lessons, created to accompany The Learning Challenge, provide teachers with everything needed to run tho

Become a Learning Architect and Modernize Instructional Practice What does it take to transform into a master educator in today’s age? How does one become a true architect of deeper learning, de

A Phenomenological Approach to Teaching and Learning: Research, Theory, and Practice presents a carefully constructed framework for teaching and learning informed by philosophical and empirical founda

If you want to boost your library's relevancy and support youth learning, consider incorporating connected learning at your library. This book helps you to realize the potential of this exciting and d

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identificati

This book explores how traditional institutions of education are affected by the current discourse and practices of ‘learning’; and more specifically, how the evolution towards so-called ‘learning env

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different ap

This book opens up new lines of debate in language learning and intercultural communication through an investigation of tandem language learning (a method of language learning based on mutual language

The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies

Bringing together an international team of researchers, this volume explores practice in second language learning - activities which aim to develop skills in or knowledge of a second language. The book begins with two theoretical overviews of practice as applied to learning to speak in a second language and in cognitive accounts of second language acquisition. This theory underpins the volume, which is split into two main sections: receptive and productive practice. The studies look at practice in English, German and Spanish as a second language in various contexts including traditional classrooms, periods of study abroad and online language learning. The differing research designs used mean that the chapters contain clear implications for classroom pedagogy and further directions for research, teaching and learning in different contexts.

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical system

Teaching and learning are a set of principles that promote effective knowledge sharing and its acquisition by students. Learning is a cognitive practice that requires proper organization of knowledge

Developing Practice Capability: Transforming Workplace Learning explores a Crucible Model for Professional Development as a means for better understanding workplace learning as a place for capability

Developing Practice Capability: Transforming Workplace Learning explores a Crucible Model for Professional Development as a means for better understanding workplace learning as a place for capability

Semiotic Theory of Learning asks what learning is and what brings it about, challenging the hegemony of psychological and sociological constructions of learning in order to develop a burgeoning litera

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

"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

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