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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

New Hope Academy, or, as seventeen-year-old Jane Learning likes to call it, No Hope, is a Baptist reform school where Jane is currently being held captive.Of course, smart, sarcastic Jane has no inter

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

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutio

本書由淺入深，系統、詳盡地介紹了HTML5、CSS3和JavaScript相關技術及其在Web前端及移動應用開發領域的應用。書中提供了大量的代碼示例，從基本原理到實戰應用，幾乎涉及了Web前端及移動應用開發的絕大部分內容。 本書分為四篇，共17章。第一篇為HTML和HTML5技術，涵蓋的內容包括HTML網頁基礎、頁面元素、文字與排版、網頁圖像、超鏈接、表格與表單和HTML5新特性等方面的內容；第二

本書主要內容包括：JSP概述、Java語言基礎、JavaScript編程基礎、JSP頁面元素及內置對象、JSP與Servlet等。

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,

Many teachers recognise the importance of integrating intercultural learning into language learning. This book argues that teachers can work creatively with conventional resources and utilise classroo

Many teachers recognise the importance of integrating intercultural learning into language learning. This book argues that teachers can work creatively with conventional resources and utilise classroo

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

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related.

Bring pedagogy and cognitive science to online learning environments Online Teaching at Its Best: A Merger of Instructional Design with Teaching and Learning Research is the scholarly resource for onl

In Organizational Learning and Performance: The Science and Practice of Building a Learning Culture, Ryan Smerek combines organizational examples with insights from research, to provide readers with a

Cultivating a Culture of Learning illustrates practice from a variety of teacher education programs. Authors share their first-hand experience of cultivating a culture of learning as teacher educators

Cultivating a Culture of Learning illustrates practice from a variety of teacher education programs. Authors share their first-hand experience of cultivating a culture of learning as teacher educators

According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffrey's 'radical probabilism'. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes' rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sci

An Introduction to Foreign Language Learning and Teaching provides an engaging, student-friendly guide to the field of foreign language learning and teaching. Aimed at students with no background in t

Around the world, children embark on learning to read in their home language or writing system. But does their specific language, and how it is written, make a difference to how they learn? How is learning to read English similar to or different from learning in other languages? Is reading alphabetic writing a different challenge from reading syllabic or logographic writing? Learning to Read across Languages and Writing Systems examines these questions across seventeen languages representing the world's different major writing systems. Each chapter highlights the key features of a specific language, exploring research on learning to read, spell, and comprehend it, and on implications for education. The editors' introduction describes the global spread of reading and provides a theoretical framework, including operating principles for learning to read. The editors' final chapter draws conclusions about cross-linguistic universal trends, and the challenges posed by specific languages and

An Introduction to Foreign Language Learning and Teaching provides an engaging, student-friendly guide to the field of foreign language learning and teaching. Aimed at students with no background in t

Learning and Memory provides a broad survey of topics including the major behaviorism theories of learning, modern cognitive theories of memory, social learning theories, the roles of emotion and moti

This book explores learning in the early years and emphasises the importance of learning in social contexts, through the senses and within close relationships. It moves away from the focus on ‘learnin

This book explores learning in the early years and emphasises the importance of learning in social contexts, through the senses and within close relationships. It moves away from the focus on ‘learnin

Museum Learning employs a ‘learning’ lens to highlight the insights as well as practical implications and applications theoretical approaches can offer museum studies students, practitioners and resea

This book explores academic learning theories in relation to modern cognitive research. It suggests that developing a feelings and emotion-based learning theory could improve our understanding of huma

Learning from the Learners: Successful College Students Share Their Effective Learning Habits is based on what "expert" students tell us about what they - as learners - do to succeed. Themes

Intelligent (machine) learning is a subfield of artificial intelligence and it originates from the researches in the pattern recognition, the computational learning theory, and the use of statistics f

Learning from the Learners: Successful College Students Share Their Effective Learning Habits is based on what "expert" students tell us about what they - as learners - do to succeed. Themes

Machine learning applications autonomously reason about data at massive scale. It's important that they remain responsive in the face of failure and changes in load. But machine learning systems are d

Learning, innovation and adaptation are not concepts that we necessarily associate with the British army of the First World War. Yet the need to learn from mistakes, to exploit new opportunities and to adapt to complex situations are enduring and timeless. This revealing work is the first institutional examination of the army's process for learning during the First World War. Drawing on organisational learning and management theories, Aimée Fox critiques existing approaches to military learning in wartime. Focused around a series of case studies, the book ranges across multiple operational theatres and positions the army within a broader context in terms of its relationships with allies and civilians to reveal that learning was more complex and thoroughgoing than initially thought. It grapples with the army's failings and shortcomings, explores its successes and acknowledges the inherent difficulties of learning in a desperate and lethally competitive environment.

This thematic volume explores the relationship between the arts and learning in various educational contexts and across cultures, but with a focus on higher education and organizational learning. Arts

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

Transactional Distance and Adaptive Learning takes a fresh look at one of the pioneering educational theories that accommodates the impact of information and communications technologies in learning. T

Technology-Enhanced Language Learning for Specialized Domains provides an exploration of the latest developments in technology-enhanced learning and the processing of languages for specific purposes.

Learning is the foundation of the human experience. It begins at birth and never stops, a continuous and malleable link across life stages of human development. Disparities in learning access and outc

Success for Every Student: A Guide to Teaching and Learning contains research and evidence based classroom practices that maximize learning for all students.

Co-published with NAFSA. Learning Across Cultures: Locally and Globally is a comprehensive guide to integrating intercultural learning into the fabric of twenty-first century higher education. This up