?This book is the result of a joint venture between Professor Akio Kawauchi, Osaka City University, well-known for his research in knot theory, and the Osaka study group of mathematics education, foun
This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of inter
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-
This book focuses on developing methods for constructing learning paths in terms of “learning resources” (learning contents), “learning approaches” (learning method), and “learning quality” (learning
In this 100-page book, you will find that Stripes provides a very simple learning path, where you do not need to understand the entire framework in order to use it. The concept of this book is exactly
Introducing Spring Framework is your hands-on guide to learning to build applications using the Spring Framework. The book uses a simple My Documents application that you will develop incrementally ov
Psychology and Diabetes Care: A Practical Guide is a concise handbook for the practicing diabetes clinician who is interested in gaining a better understanding of his patients, and in learning simple
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
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
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
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
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
This monograph details several different methods for constructing simple relation algebras, many of which are new with this book. By drawing these seemingly different methods together, all are shown t
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
This book analyzes the nature and requirements of workplace e-learning based on relevant theories such as adult learning, community of practice, organizational learning, and the systems thinking. By i
This book explores the theoretical foundations of gamification in learning and education. It has become increasingly difficult to engage and motivate students. Gamification not only makes learning int
This is the first book to connect the concepts of active learning and deep learning, and to delineate theory and practice through collaboration between scholars in higher education from three countrie
This book offers several insights into cross-cultural and multilingual learning, drawing upon recent research within two main areas: Language Studies and Multilingual Language Learning/Teaching. It pl
This book describes lessons learned from the implementation of research based learning at Maastricht University. Well-known for its problem based learning (PBL) educational model, Maastricht Universit
This book addresses the theory and practice of using digital resources for contemporary learning, and how such resources can be designed, developed, and employed in a variety of learning activities an
This is the first book to examine social learning and innovation in hunter-gatherers from around the world. More is known about social learning in chimpanzees and nonhuman primates than is known about
In this book we respond to a higher education environment that is on the verge of profound changes by imagining an evolving and agile problem-based learning ecology for learning. The goal of doing so
This book presents the most recent theory, research, and practice on service learning as it relates to early childhood education. It describes several service learning programs, many of which were dev
This book posits the idea that networked learning is the one new paradigm in learning theory that has resulted from the introduction of digital and networked technologies. It sets out, in a single vol
The book addresses the main issues concerned with the new development of learning processes, innovative pedagogical changes, the effects of new technologies on education, future learning content, whic
This book is a synthesis of the complex interdependencies between user interface design of digital screen and learning process. It is analyzed the impact of digital revolution on learning, phases of d
Thisbrief examines and explores the reuse of learning objects to enhance students' learning experiences. The author details the difficulties of reusing learning objects, or the Reusability Paradox, an
These conference proceedings focus on “Assessment for Learning: Within and Beyond the Classroom” in recognition of the power of assessment for learning as a way of boosting student performance. They e
This book presents cutting-edge, peer reviewed research on networked learning organized by three themes: policy in networked learning, researching networked learning, and boundaries in networked learn
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, whi
This book examines the methodological problems of accounting for the dead in armed conflicts as well as how the process itself is open to manipulation and controversy. Inspired by the work of the Inte
This book focuses on mobile learning design from both theoretical and practical perspectives. It introduces and discusses how mobile learning can be effectively integrated into curricula, highlighting
In this book, the educational theory of metacognitive learning and its instructional implications are used to describe and illustrate how learners can become effective or self-directive learners. Firs
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random for
Mobile technologies have been used in higher education for many years. They provide good solutions for teaching and learning and make learning available anywhere and anytime. This book includes six se
This book generates a comprehensive account of ways in which practice-based learning has been conceptualized in the Francophone context. Learning for occupations, and the educational and practice-base
During the last several decades, self-regulation of learning has permeated all areas of learning and development, including teaching preparation programs. Self-regulatory competences are essential for
This book posits the idea that networked learning is the one new paradigm in learning theory that has resulted from the introduction of digital and networked technologies. It sets out, in a single vol
This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the clas
