Service Learning

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from authentic texts for inductive learning of lexicogrammar. This Element is a practical guide for language teachers and graduate students intending to explore or upgrade their use of corpora in the language classroom and beyond. In today's context, where advances in computing and information processing dominate our social and professional interactions, the use of corpora emerges as a prime resource with which to approach data-driven language learning and teaching, developing language awareness, noticing skills and critical thinking for learning that generative AI cannot do for you.

This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning. Includes over 210 student exercises, emphasising practical applications in statistics, machine learning and modern communication theory. Accompanied by online instructor solutions.

The synergy between Artificial Intelligence (AI) and the Internet of Things (IoT) is shaping the future of technology and opening a world of unprecedented possibilities. Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share with readers their ideas about how to implement technical advances, application areas for intelligent systems, and development of new services and smart devices connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power are opening the way to new domains, services, and business models beyond the traditional mobile Internet. These new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. In Artificial Intelligence of Things readers learn about the challenges and requiremen

With this comprehensive guide, Microsoft AI specialist Adrian Gonzalez Sanchez examines the integration and utilization of Azure OpenAI Service-using powerful generative AI models such as GPT-4 and GPT-4o-within the Microsoft Azure cloud computing platform.

This book explores teaching, learning, and leadership in higher education following the Covid-19 pandemic. It examines opportunities that currently exist within higher education as they relate to innovative teaching and learning strategies, from instructional modalities to new models of transformative learning to meet students "where they are" in terms of career development and lifelong learning. Emphasis is placed on educational leadership and management skills, faculty and teaching acumen, and students and their quest for knowledge and understanding as we navigate past a global health crisis towards a future of hope and solutions to some of today's most pressing issues using collaboration, community, and an inquiry-oriented approach. The current state of education is reimagined with emphasis on higher education as a learning organization. A sense of urgency in higher education is underscored to instill knowledge and competency, encourage innovation, and help the next generation of st

Taiwan to Launch The National Park service A New Journey in Conservation and Sustainable development Special Theme Steadfast Steps Respond to the Land's Gentle Calls Tracing the Establishment of the National Park Service Cover Story Let’s Protect the Mother Earth Together! Everyone's National Parks! Finding the Way to Harmonious Coexistence through Co-governance Conservation without Borders Transnational and Transregional Efforts to Protect the Environment and Ecology Bridging the Cultural Gap The Ongoing Practice of Cultural Inheritance and Transmission

With Iterative Learning Control Algorithms and Experimental Benchmarking the authors discuss the main methods of iterative learning control (ILC) and its interactions, as well as comparator performanc

In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves as both a starting point for researchers and graduate students in mathematics trying to get into the field, as well as an invaluable reference for future research.

Hierarchies at Home traces the experiences of Cuban domestic workers from the abolition of slavery through the 1959 revolution. Domestic service – childcare, cleaning, chauffeuring for private homes – was both ubiquitous and ignored as formal labor in Cuba, a phenomenon made possible because of who supposedly performed it. In Cuban imagery, domestic workers were almost always black women and their supposed prevalence in domestic service perpetuated the myth of racial harmony. African-descended domestic workers were 'like one of the family', just as enslaved Cubans had supposedly been part of the families who owned them before slavery's abolition. This fascinating work challenges this myth, revealing how domestic workers consistently rejected their invisibility throughout the twentieth century. By following a group marginalized by racialized and gendered assumptions, Anasa Hicks destabilizes traditional analyses on Cuban history, instead offering a continuous narrative that connects pre

This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slide

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. This book presents theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classif

This early-learning workbook is full of fun activities to help develop your child's fine motor skills.Improve your preschooler's fine-motor skills with Priddy Learning: Scissor Skills, a fun activity book from Priddy Books.This 80-page paperback workbook is designed to encourage safe scissor practice, with varying activities to engage children aged three and over. The exercises increase in difficulty as you go through the book and also include ideas for pasting and creating your own pictures so there is something for every ability level.Each page is perforated which helps for easy-cutting and so that your child's proud artwork can be displayed afterwards. Activities such as shapes, puzzles, mazes, and more are bright and appealing and the quality paper is easy for children to handle and cut without tearing.Part of the Priddy Learning Workbook series which includes; Priddy Learning Tracing & Pen Control, Priddy Learning: Lowercase Alphabet, Priddy Learning Uppercase Alphabet, Priddy

A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.

The interdisciplinary field of the learning sciences encompasses educational psychology, cognitive science, computer science, and anthropology, among other disciplines. The Cambridge Handbook of the Learning Sciences, first published in 2006, is the definitive introduction to this innovative approach to teaching, learning, and educational technology. In this significantly revised third edition, leading scholars incorporate the latest research to provide seminal overviews of the field. This research is essential in developing effective innovations that enhance student learning - including how to write textbooks, design educational software, prepare effective teachers, and organize classrooms. The chapters illustrate the importance of creating productive learning environments both inside and outside school, including after school clubs, libraries, and museums. The Handbook has proven to be an essential resource for graduate students, researchers, consultants, software designers, and poli

Evolution of Learning and Memory Mechanisms is an exploration of laboratory and field research on the many ways that evolution has influenced learning and memory processes, such as associative learning, social learning, and spatial, working, and episodic memory systems. This volume features research by both outstanding early-career scientists as well as familiar luminaries in the field. Learning and memory in a broad range of animals are explored, including numerous species of invertebrates (insects, worms, sea hares), as well as fish, amphibians, birds, rodents, bears, and human and nonhuman primates. Contributors discuss how the behavioral, cognitive, and neural mechanisms underlying learning and memory have been influenced by evolutionary pressures. They also draw connections between learning and memory and the specific selective factors that shaped their evolution. Evolution of Learning and Memory Mechanisms should be a valuable resource for those working in the areas of experiment

Evolution of Learning and Memory Mechanisms is an exploration of laboratory and field research on the many ways that evolution has influenced learning and memory processes, such as associative learning, social learning, and spatial, working, and episodic memory systems. This volume features research by both outstanding early-career scientists as well as familiar luminaries in the field. Learning and memory in a broad range of animals are explored, including numerous species of invertebrates (insects, worms, sea hares), as well as fish, amphibians, birds, rodents, bears, and human and nonhuman primates. Contributors discuss how the behavioral, cognitive, and neural mechanisms underlying learning and memory have been influenced by evolutionary pressures. They also draw connections between learning and memory and the specific selective factors that shaped their evolution. Evolution of Learning and Memory Mechanisms should be a valuable resource for those working in the areas of experiment

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

Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design mod

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kep

Digital and online learning is more prevalent than ever, making multimedia learning a primary objective for many instructors. The Cambridge Handbook of Multimedia Learning examines cutting-edge research to guide creative teaching methods in online classrooms and training. Recognized as the field's major reference work, this research-based handbook helps define and shape this area of study. This third edition provides the latest progress report from the world's leading multimedia researchers, with forty-six chapters on how to help people learn from words and pictures, particularly in computer-based environments. The chapters demonstrate what works best and establishes optimized practices. It systematically examines well-researched principles of effective multimedia instruction and pinpoints exactly why certain practices succeed by isolating the boundary conditions. The volume is founded upon research findings in learning theory, giving it an informed perspective in explaining precisely

Digital and online learning is more prevalent than ever, making multimedia learning a primary objective for many instructors. The Cambridge Handbook of Multimedia Learning examines cutting-edge research to guide creative teaching methods in online classrooms and training. Recognized as the field's major reference work, this research-based handbook helps define and shape this area of study. This third edition provides the latest progress report from the world's leading multimedia researchers, with forty-six chapters on how to help people learn from words and pictures, particularly in computer-based environments. The chapters demonstrate what works best and establishes optimized practices. It systematically examines well-researched principles of effective multimedia instruction and pinpoints exactly why certain practices succeed by isolating the boundary conditions. The volume is founded upon research findings in learning theory, giving it an informed perspective in explaining precisely

Learning and Teaching in Early Childhood: Pedagogies of Inquiry and Relationships is an introduction for early childhood educators beginning their studies. Reflecting the fact that there is no single correct approach to the challenges of teaching, this book explores teaching through two lenses: teaching as inquiry and teaching as relating. The first part of the book focuses on inquiry, covering early childhood learning environments, learning theories, play pedagogies, approaches to teaching and learning, documentation and assessment, and the policy, curriculum and regulatory requirements in Australia. The second part explores relationships in early childhood contexts and covers topics such as fostering meaningful and respectful relationships with children, and working with families, staff and the wider community. Written by well-respected academics in the field, Learning and Teaching in Early Childhood is a vital resource for those entering the early childhood education and care profes

Learning language and using language to learn is at the core of any educational activity. Bringing together a globally representative team of experts, this volume presents an innovative and empirically robust collection of studies that examine the role of language in education, with a particular emphasis on features of school-relevant language in middle childhood and adolescents, and its precursors in early childhood. It addresses issues such as how children's linguistic and literacy experiences at home prepare them for school, how the classroom functions as a language-mediated learning environment, and how schools can support language minority students in academic attainment. Set in three parts - Early Childhood, Middle Childhood and Adolescence and Learning in Multilingual Contexts - each part features a discussion from experts in the field to stimulate conversation and further routes for research. Its structure will make it useful for anyone interested in ongoing efforts towards bui

These easy-carry learning pads include everything you need to reinforce key school topics while on the go! Includes more than 100 stickers!This interactive carry handle learning pad focuses on critica

These easy-carry learning pads include everything you need to reinforce key school topics while on the go! Includes more than 100 stickers!This interactive carry handle learning pad focuses on critica

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and res

A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.Today, machine learning underlies a range of app

此系列共7冊:180 Days of Social-Emotional Learning for Kindergarten180 Days of Social-Emotional Learning for First Grade180 Days of Social-Emotional Learning for Second Grade180 Days of Social-Emotional Learning for Third Grade180 Days of Social-Emotional Learning for Fourth Grade180 Days of Social-Emotional Learning for Fifth Grade180 Days of Social-Emotional Learning for Sixth Grade

With more than 60 tear-away pages of engaging activities, this Kindergarten Learning Pad helps Kindergarteners find school success. Includes activities focusing on the alphabet, phonics, math, science

The first definitive account of the rise and fall of the Secret Service, from the Kennedy assassination to the ongoing scandals under Obama and Trump--by Pulitzer Prize winner and #1 New York Times be

Priddy Learning: My First Animals is a first novelty book packed full of early learning fun, ideal for toddlers.Preschoolers can explore different habitats and discover all the amazing animals that li

This book draws together the perceptions and experiences from a range of international professionals with specific reference to food education. It presents a variety of teaching, learning and curriculum design approaches relating to food across primary, secondary and vocational school education, undergraduate initial teacher education programs, and in-service professional development support contexts. Contributions from authors of a variety of background and countries offer insight into some of the diverse issues in food education internationally, lessons to be learned from successes and failures, including action points for the future. The book will be both scholarly and useful to teachers in primary and secondary schools.

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models

Chewie's nose always knows. That's why he's training to be a gluten-detection service dog for Alice. His job will be to keep Alice from getting sick. But Chewie gets distracted by bugs in the air and

It is widely recognised that science explorations is vital in children's lives as they make sense of the world. Now in its fourth edition, Science in Early Childhood provides a comprehensive and engaging introduction to science in the early years. Each chapter has been updated to include current research and to address changing priorities in early childhood science education. The text features new chapters on Indigenous ways of knowing science, inquiry approaches to learning science and teaching science inclusively. Science in Early Childhood complements the Australian Early Years Learning Framework and the Australian Curriculum: Science. Concepts, processes and skills are brought to life through detailed case studies, practical tasks and reflective activities. Instructors can also supplement learning by drawing on the extensive materials located on the companion website. Renowned for its accessible and informative content, Science in Early Childhood is essential for all pre-service ea

Introduction to Education provides pre-service teachers with an overview of the context, craft and practice of teaching in Australian schools as they commence the journey from learner to classroom teacher. Each chapter poses questions about the nature of teaching students, and guides readers though the Australian Professional Standards for Teachers. Incorporating recent research and theoretical literature, Introduction to Education presents a critical consideration of the professional, policy and curriculum contexts of teaching in Australia. The book covers theoretical topics in chapters addressing assessment, planning, safe learning environments, and working with colleagues, families, carers and communities. More practical chapters discuss professional experience and building a career after graduation. Rigorous in conception and practical in scope, Introduction to Education welcomes new educators to the theory and practical elements of teaching, learning, and professional practice.

STEM Education in the Primary School introduces pre-service teachers to the theory, skills and practice of teaching STEM through a project-based learning approach. Science, technology, engineering and mathematics are presented as professions, mindsets and practices, and each element of STEM is integrated with the Australian Curriculum through a school garden project case study. Popular STEM topic areas, such as health, shelter and space, are explored using tested and age-appropriate project examples that illustrate the translation of STEM ideas to classroom practice. This textbook connects current research in STEM education to teaching practice through detailed discussion of topics including assessment, learning spaces, community and STEM futures. Encouraging readers to consolidate their knowledge, the text is supported by short-answer and reflection questions, information boxes and real-world scenarios. Suggested activities and downloadable templates in the VitalSource enhanced eBook

Practitioners, policymakers, and scholars across fields and disciplines seek to understand factors that shape public opinion and public service values, especially in today's polarized context. Yet we know little about how the two relate. Research on public service motivation (PSM), a drive to help others grounded in public institutions, has grown to examine career decisions and behaviors within and outside the workplace, but does the influence of PSM extend to individual values? Using data from the Cooperative Congressional Election Study surrounding the 2016 US presidential election, we first examine the antecedents of PSM; how do individual characteristics as well as socioeconomic and sociocultural factors influence levels of PSM? Second, we describe the role PSM plays in shaping public opinion on policy preferences, budget priorities, and political behaviors. Findings have implications for both understanding who has PSM as well as how PSM shapes public preferences, attitudes, and be

Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you've been curious about machine learning but didn't k