Personalizing Learning

Intelligent Data Analysis for e-Learning addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems ha

Interpersonal Regulation of Learning and Motivation is the first book in the field to focus on major methodological advances in research on interpersonal regulation of learning and motivation. Interes

This toolkit is designed for preparing health and social care practitioners for their role in facilitating learning in their workplace. It enables readers to recognise learning opportunities, communic

Distance learning is now more prevalent in the developing world than ever before. This book reconsiders the suitability and success of established modes of distance learning for current contexts in th

Deep Learning for Search teaches readers how to leverage neural networks, NLP, and deep learning techniques to improve search performance.Deep Learning for Search teaches readers how to improve the ef

This is the first research-based book-length English language study of intergenerational learning. Here the authors define intergenerational learning broadly, as the migration of knowledge and skills

"EXPERIENTIAL EDUCATION "This book brings a thoughtful and refreshing perspective on experiential education. Educators interested in outdoor learning, service learning, and place-based learning will f

Learning the City: Translocal Assemblage and Urban Politics critically examines the relationship between knowledge, learning, and urban politics, arguing both for the centrality of learning for politi

Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. T

Sustaining and Improving Learning Communities is the long awaited follow-up to the groundbreaking book Creating Learning Communities. The authors continue their exploration of the concept of learning

Priddy Learning: My First ABC is an engaging novelty book with wheels to turn, specially designed to teach preschoolers the alphabet and first words.Preschoolers can learn the letters of this alphabet with this innovative wheel book. With two wheels to turn on every page, this sturdy board book has been designed to encourage children to interact with the activities as they learn their abc. Children can turn the wheels to find the correct picture that matches with the starting letter. The bright pictures and simple labels build early vocabulary, while the wheels help to develop hand-eye coordination.Part of the Priddy Learning series which also includes; Priddy Learning: Let's Spell; Priddy Learning: My First Animals; Priddy Learning: My First Ready for School; Priddy Learning: My First Clock Book, Priddy Learning: My First Wipe Clean ABC, Priddy Learning: My First Wipe Clean Pen Control, Priddy Learning: My First Wipe Clean Words, Priddy Learning: My First Wipe Clean Starting School, P

This book provides a comprehensive foundation of machine learning. To answer the questions of what to learn, how to learn, what to get from learning, and how to evaluate, as well as what is meant by learning, the book focuses on the fundamental basics of machine learning, its methodology, theory, algorithms, and evaluations, together with some philosophical thinking on comparison between machine learning and human learning for machinery intelligence.The book is organized as follows: Introduction (Chapter 1), Evaluation (Chapter 2), Supervised learning (Chapters 3, 4, and 5), Unsupervised learning (Chapter 6), Representation learning (Chapter 7), Problem decomposition (Chapter 8), Ensemble learning (Chapter 9), Deep learning (Chapter 10), Application (Chapter 11), and Challenges (Chapter 12).The book can be used as a textbook for college, undergraduate, graduate and PhD students majored in computer science, automation, electronic engineering, communication, ect. It can also be used as

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne

此套碼會以散裝單本出貨，包含以下書籍：9781645141662Social and Emotional Learning Activities, Grades Prek-K9781645141679Social and Emotional Learning Activities, Grades 1-29781645141686Social and Emotional Learning Activities, Grades 3-49781645141693Social and Emotional Learning Activities, Grades 5-6

This book explores learning in the arts and highlights ways in which art and creativity can ignite learning in schools, informal learning spaces, and higher education. The focus is on learning in, wit

Developed by the experts at Highlights(TM) who know how to combine learning and fun, Highlights(TM) Learning Fun Workbooks offer an integrated approach to skill building that uniquely blends age-appro

Developed by the experts at Highlights(TM) who know how to combine learning and fun, Highlights(TM) Learning Fun Workbooks offer an integrated approach to skill building that uniquely blends age-appro

Reflecting on Service-Learning in Higher Education examines forms of pedagogy such as service-learning, experiential learning, and problem-based learning in order to determine how students make connec

Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning w

Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a t

Embrace challenge and celebrate Eureka!Challenge makes learning more interesting. That’s one of the reasons to encourage your students to dive into the learning pit—a state of cognitive co

Reflecting on Service-Learning in Higher Education examines forms of pedagogy such as service-learning, experiential learning, and problem-based learning in order to determine how students make connec

Service-learning and Writing: Paving the Way for Literacy(ies) through Community Engagement discusses service-learning as a teaching and learning method and its integration with writing. The various a

There’s no better way to ignite your child’s curiosity for learning than with Curious George at the ready, and these workbooks allow for unlimited practice! With more than 60 activities featuring ever

This monograph integrates theoretical perspectives on affect and learning with recent research in affective computing with an emphasis on building new learning technologies. The "new perspectives" com

Open-Space Learning offers a unique resource to educators wishing to develop a workshop model of teaching and learning. Despite the vast attention paid to the growth of virtual learning environments i

Jossey-Bass Guides to Online Teaching and Learning Learning Online with Games, Simulations, and Virtual Worlds Strategies for Online Instruction Clark Aldrich Learning Online with Games, Simulation