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Machine Learning for Managers

Machine Learning for Managers

Machine learning can help managers make better predictions automate complex tasks and improve business operations. Managers who are familiar with machine learning are better placed to navigate the increasingly digital world we live in. There is a view that machine learning is a highly technical subject that can only be understood by specialists. However many of the ideas that underpin machine learning are straightforward and accessible to anyone with a bit of curiosity. This book is for managers who want to understand what machine learning is about but who lack a technical background in computer science statistics or math. The book describes in plain language what machine learning is and how it works. In addition it explains how to manage machine learning projects within an organization. This book should appeal to anyone that wants to learn more about using machine learning to drive value in real-world organizations. | Machine Learning for Managers

GBP 29.99
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Machine Learning in Translation

Machine Learning in Translation

Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension this book helps linguists translators and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways in terms of word embeddings chunking of larger meaning units and prediction in translation based upon the broader context. Part Two introduces key tasks including machine translation translation quality assessment and quality estimation and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create manage and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation stressing the need to empower translators with ML knowledge through communication with ML users developers and programmers and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows including students on courses in translation and localization language technology and related areas. It supports the professional development of translation practitioners so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.

GBP 34.99
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Hands-On Archaeology Authentic Learning Experiences That Engage Students in STEM (Grades 4-5)

Hands-On Archaeology Authentic Learning Experiences That Engage Students in STEM (Grades 4-5)

Hands-On Archaeology immerses students in the world of real-life archaeologists. Through engaging authentic learning experiences students will discover artifacts from the past and participate in archaeological digs while building STEM skills as well as making connections to geography history art and English language arts. This book is packed with activities that can easily be conducted in the classroom using everyday materials and includes everything teachers need to help students conduct real-life archaeological digs. From participating in digs in the classroom to conducting digs in the community students will not just learn about archaeology—they will be archaeologists! Grades 4-5 | Hands-On Archaeology Authentic Learning Experiences That Engage Students in STEM (Grades 4-5)

GBP 22.99
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Machine Learning and Music Generation

Machine Learning and Music Generation

Computational approaches to music composition and style imitation have engaged musicians music scholars and computer scientists since the early days of computing. Music generation research has generally employed one of two strategies: knowledge-based methods that model style through explicitly formalized rules and data mining methods that apply machine learning to induce statistical models of musical style. The five chapters in this book illustrate the range of tasks and design choices in current music generation research applying machine learning techniques and highlighting recurring research issues such as training data music representation candidate generation and evaluation. The contributions focus on different aspects of modeling and generating music including melody chord sequences ornamentation and dynamics. Models are induced from audio data or symbolic data. This book was originally published as a special issue of the Journal of Mathematics and Music. | Machine Learning and Music Generation

GBP 39.99
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Machine Learning for Criminology and Crime Research At the Crossroads

Machine Learning for Criminology and Crime Research At the Crossroads

Machine Learning for Criminology and Crime Research: At the Crossroads reviews the roots of the intersection between machine learning artificial intelligence (AI) and research on crime; examines the current state of the art in this area of scholarly inquiry; and discusses future perspectives that may emerge from this relationship. As machine learning and AI approaches become increasingly pervasive it is critical for criminology and crime research to reflect on the ways in which these paradigms could reshape the study of crime. In response this book seeks to stimulate this discussion. The opening part is framed through a historical lens with the first chapter dedicated to the origins of the relationship between AI and research on crime refuting the novelty narrative that often surrounds this debate. The second presents a compact overview of the history of AI further providing a nontechnical primer on machine learning. The following chapter reviews some of the most important trends in computational criminology and quantitatively characterizing publication patterns at the intersection of AI and criminology through a network science approach. This book also looks to the future proposing two goals and four pathways to increase the positive societal impact of algorithmic systems in research on crime. The sixth chapter provides a survey of the methods emerging from the integration of machine learning and causal inference showcasing their promise for answering a range of critical questions. With its transdisciplinary approach Machine Learning for Criminology and Crime Research is important reading for scholars and students in criminology criminal justice sociology and economics as well as AI data sciences and statistics and computer science. | Machine Learning for Criminology and Crime Research At the Crossroads

GBP 130.00
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Implicit Learning 50 Years On

Implicit Learning 50 Years On

Can we learn without knowing we are learning? To what extent is our behavior influenced by things we fail to perceive? What is the relationship between conscious and unconscious cognition? Implicit Learning: 50 Years On tackles these key questions fifty years after the publication of Arthur Reber’s seminal text. Providing an overview of recent developments in the field the volume considers questions about the computational foundations of learning alongside phenomena including conditioning memory formation and consolidation associative learning cognitive development and language learning. Featuring contributions from international researchers the book uniquely integrates ‘Western’ thinking on implicit learning with insights from a rich Russian research tradition. This approach offers an excellent opportunity to contrast perspectives to introduce new experimental paradigms and to contribute to ongoing debates about the very nature of implicit learning. Implicit Learning: 50 Years On is essential reading for students and researchers of consciousness specifically those interested in implicit learning. | Implicit Learning 50 Years On

GBP 36.99
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Hands-On Literacy Grade 5 Authentic Learning Experiences That Engage Students in Creative and Critical Thinking

Hands-On Literacy Grade 5 Authentic Learning Experiences That Engage Students in Creative and Critical Thinking

This practical resource is a compendium of authentic and hands-on literacy activities that will engage challenge and delight students. Specifically targeting Grade 5 these lessons and strategies enhance literacy instruction and encourage critical thinking. Aligned with current standards and principles of literacy instruction the lessons will inspire GenZ and future generations of students by allowing them to explore literacy through graphic design public speaking improvisation smartphones and video art music and more. The original and entertaining activity sheets graphic organizers and examples are ready to be used or adapted to a wide variety of stories novels and nonfiction. With fully developed lesson plans the practical resources in this book will motivate students of all backgrounds including English language learners gifted and twice exceptional learners and all students who are comfortable or not yet comfortable in the English classroom. This book is the second in a set of three literacy titles focused on Grades 4 5 and 6. Each book contains lessons and units to help develop deeper learning and encourage student creativity. | Hands-On Literacy Grade 5 Authentic Learning Experiences That Engage Students in Creative and Critical Thinking

GBP 26.99
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Inquiry-Based Literature Instruction in the 6–12 Classroom A Hands-on Guide for Deeper Learning

Inquiry-Based Literature Instruction in the 6–12 Classroom A Hands-on Guide for Deeper Learning

This practical and engaging book will help you learn how to teach literature with an inquiry-based approach. Inquiry-based literature instruction is an effective method to facilitate student engagement motivation and understanding in middle and high school English Language Arts (ELA) classrooms. Easy-to-implement and adaptable for many types of texts this method encourages students to make authentic connections between texts their lives and real-world issues. In this classroom-ready resource Ruday and Caprino walk through this instructional approach to demonstrate how using essential questions and a variety of texts will engage students in thought-provoking inquiry and promote meaningful learning. This book features: Three inquiry-based units applicable for middle and high school ELA and English classrooms. A range of models of what inquiry-based literature instruction looks like in practice. A chapter on culturally responsive teaching and supporting English Language Learners (ELLs). Guides templates and resource lists to help you plan your own inquiry-based literature teaching. Throughout the book Ruday and Caprino share a wealth of insights and resources to support you when putting inquiry-based instruction into practice. | Inquiry-Based Literature Instruction in the 6–12 Classroom A Hands-on Guide for Deeper Learning

GBP 29.99
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Motivation and Learning Strategies for College Success A Focus on Self-Regulated Learning

Motivation and Learning Strategies for College Success A Focus on Self-Regulated Learning

Now in its 7th edition Motivation and Learning Strategies for College Success: A Focus on Self-Regulated Learning provides a framework organized around motivation methods of learning time management control of the physical and social environment and monitoring performance that makes it easy for students to recognize what they need to do to become successful learners. Full of rich pedagogical features and exercises students will find Follow-Up Activities Opportunities for Reflection Chapter-End Reviews Key Points and a Glossary. Seli focuses on the most relevant information and features to help students identify the components of academic learning that contribute to high achievement to master and practice effective learning and study strategies and to complete self-regulation studies that teach a process for improving their academic behavior. Combining theory research and application this popular text guides college students on how to improve their study skills and become more effective self-regulated learners. New in the 7th edition: Increased focus on students’ lived experiences based on race gender socio-economic status and ability Increased coverage on cultural responsiveness and equity in education Additional content relevant for students with special needs Acknowledgement of the impact of COVID-19 on higher education General updates throughout to citations and research since the previous edition Updated companion website resources for students and instructors including sample exercises assessments and instructors’ notes | Motivation and Learning Strategies for College Success A Focus on Self-Regulated Learning

GBP 48.99
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Learning Analytics Enhanced Online Learning Support

Learning Analytics Enhanced Online Learning Support

Offering the latest developments in online education in the era of big data this book explores theories technologies and practices in the field of data-driven online learning support services using learning analytics. This book is divided into five chapters. Chapter 1 reflects and reconstructs the connotation of learning support against the backdrop of education reform the rise of learning analytics and the upgrading of the demand for learning services in the new era. Chapter 2 presents a P-K-DSE-E model of online learner characteristics and discusses measurement and data representation methods for learner characteristics based on it. Chapters 3–5 focus on the three types of learning support that are closely related to learning performance and satisfaction including the promotion of social learning electronic learning assessment based on the learning process and personalized tutoring and support. This book innovatively develops the concept theory and practical methods of student support services in distance education traditional practices in the new era and provides valuable exploration of data-driven personalized learning service methods and technologies in the era of artificial intelligence through rich examples. This book will be essential reading for students and scholars of distance and online education educational technology and audiovisual education. | Learning Analytics Enhanced Online Learning Support

GBP 130.00
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Cyber Security and Business Intelligence Innovations and Machine Learning for Cyber Risk Management

Cyber Security and Business Intelligence Innovations and Machine Learning for Cyber Risk Management

To cope with the competitive worldwide marketplace organizations rely on business intelligence to an increasing extent. Cyber security is an inevitable practice to protect the entire business sector and its customer. This book presents the significance and application of cyber security for safeguarding organizations individuals’ personal information and government. The book provides both practical and managerial implications of cyber security that also supports business intelligence and discusses the latest innovations in cyber security. It offers a roadmap to master degree students and PhD researchers for cyber security analysis in order to minimize the cyber security risk and protect customers from cyber-attack. The book also introduces the most advanced and novel machine learning techniques including but not limited to Support Vector Machine Neural Networks Extreme Learning Machine Ensemble Learning and Deep Learning Approaches with a goal to apply those to cyber risk management datasets. It will also leverage real-world financial instances to practise business product modelling and data analysis. The contents of this book will be useful for a wide audience who are involved in managing network systems data security data forecasting cyber risk modelling fraudulent credit risk detection portfolio management and data regulatory bodies. It will be particularly beneficial to academics as well as practitioners who are looking to protect their IT system and reduce data breaches and cyber-attack vulnerabilities. | Cyber Security and Business Intelligence Innovations and Machine Learning for Cyber Risk Management

GBP 130.00
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Learning in Organizations An Evidence-Based Approach

Learning in Organizations An Evidence-Based Approach

Learning in Organizations: An Evidence-Based Approach examines the variety of systematic approaches and strategies for learning and development used in the workplace through the implementation of formal training guided instruction developmental job experiences and self-directed learning. The hallmark of Learning in Organizations is an emphasis on research evidence of what is and is not known about learning and learning strategies and the translation of that evidence to guide best practices in workplace learning and development. The book features evidence on learning principles new learning technologies and strategies for developing individual team and leadership capabilities. The content of the chapters is enhanced by the inclusion of key learning goals for each chapter case studies chapter summaries best practice recommendations and a hands-on project for use in the classroom. Learning in Organizations provides researchers with a detailed investigation of learning practices to help drive future research. For learning practitioners research evidence is translated into best practices that can be applied to enhance workplace learning and development. For undergraduate and graduate students the book provides an up-to-date review of the key concepts and ways of thinking about and studying learning in the workplace. | Learning in Organizations An Evidence-Based Approach

GBP 36.99
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Handbook of Computational Social Science Volume 2 Data Science Statistical Modelling and Machine Learning Methods

Handbook of Computational Social Science Volume 2 Data Science Statistical Modelling and Machine Learning Methods

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field showcasing novel statistical modeling and machine learning methods and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science statistical modeling and machine learning. It covers a range of key issues including the management of big data in terms of record linkage streaming and missing data. Machine learning agent-based and statistical modeling as well as data quality in relation to digital trace and textual data as well as probability non-probability and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth into new directions. With its broad coverage of perspectives (theoretical methodological computational) international scope and interdisciplinary approach this important resource is integral reading for advanced undergraduates postgraduates and researchers engaging with computational methods across the social sciences as well as those within the scientific and engineering sectors. | Handbook of Computational Social Science Volume 2 Data Science Statistical Modelling and Machine Learning Methods

GBP 52.99
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Social Presence in Online Learning Multiple Perspectives on Practice and Research

Social Presence in Online Learning Multiple Perspectives on Practice and Research

Published in Association with 2020 AECT Division of Distance Learning Book AwardSocial presence continues to emerge as a key factor for successful online and blended learning experiences. It is commonly described as the degree to which online participants feel connected to one another. Understanding social presence—with its critical connections to community-building retention and learning outcomes—allows faculty and instructional designers to better support and engage students. This volume Social Presence in Online Learning addresses the evolution of social presence with three distinct perspectives outlines the relevant research and focuses on practical strategies that can immediately impact the teaching and learning experience. These strategies include creating connections to build community applying content to authentic situations integrating a careful mix of tools and media leveraging reflective and interactive opportunities providing early and continuous feedback designing with assessment in mind and encouraging change in small increments. Because student satisfaction and motivation plays a key role in retention rates and because increased social presence often leads to enriched learning experiences it is advantageous to mindfully integrate social presence into learning environments. Social Presence in Online Learning brings together eminent scholars in the field to distinguish among three different perspectives of social presence and to address how these viewpoints immediately inform practice. This important volume: • Provides an overview of the evolution of social presence key findings from social presence research and practical strategies that can improve the online and blended learning experience• Differentiates three distinct perspectives on social presence and explains the ideas and models that inform these perspectives• Explores specific ways in which social presence relates to course satisfaction retention and outcomes• Offers practical implications and ready-to-use techniques that are applicable to multiple disciplines• Introduces current research on social presence by prominent researchers in the field with direct inferences to the practice of online and blended learning • Looks at future directions for social presenceSocial Presence in Online Learning is appropriate for practitioners researchers and academics involved in any level of online learning program design course design instruction support and leadership as well as for graduate students studying educational technology technology-enhanced learning and online and blended learning. It brings together multiple perspectives on social presence from the most influential scholars in the field to help shape the future of online and blended learning. | Social Presence in Online Learning Multiple Perspectives on Practice and Research

GBP 32.99
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Learning on Location Place-Based Approaches for Diverse Learners in Higher Education

Learning on Location Place-Based Approaches for Diverse Learners in Higher Education

This book offers an innovative framework and set of pedagogical pathways for deepening college student learning through critical engagement with place. Though the what and how of teaching and learning rightly take center stage in research of best practices this book argues that the where of education deserves increased attention. Drawing from interviews and case studies with college and university educators in the United States and Canada Learning on Location highlights pedagogies-in-action and identifies programmatic models for embedding location-based learning within specific courses majors curricula and campus-wide initiatives. Chapters provide a mix of theoretical framing and practical application with three key practices grounding the text: writing on location walking on location and engaging the civic on location. This resource is an invaluable guide for higher education faculty leaders and practitioners seeking to enhance student experience through attention to location support identity-conscious student success and use reflection and praxis to move toward more inclusive and equitable learning experiences. Supplemental resources—including example assignments discussion questions for reading groups and more—are available at www. centerforengagedlearning. org/books/learning-on-location. | Learning on Location Place-Based Approaches for Diverse Learners in Higher Education

GBP 31.99
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Rescuing Econometrics From the Probability Approach to Probably Approximately Correct Learning

Rescuing Econometrics From the Probability Approach to Probably Approximately Correct Learning

Haavelmo’s 1944 monograph The Probability Approach in Econometrics is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmo’s probability approach shows how its use is delivering defective and inefficient results and argues for a paradigm shift in econometrics towards a full embrace of machine learning with its attendant benefits. Machine learning has only come into existence over recent decades whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is however striking. The practical achievements of machine learning significantly outshine those of econometrics confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmo’s probability approach. Econometrics should therefore renounce its outdated foundation and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists econometricians economists specialising in the history and methodology of economics advanced students philosophers of social sciences. | Rescuing Econometrics From the Probability Approach to Probably Approximately Correct Learning

GBP 130.00
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International Perspectives on Tele-Education and Virtual Learning Environments

International Perspectives on Tele-Education and Virtual Learning Environments

This title was first published in 2000: Teaching learning and assessment methods are constantly evolving providing the educator with a range of issues and new challenges. This book addresses these challenges through the use of information and communications technologies and presents a vision of how these may be deployed in the educational environments of the future. | International Perspectives on Tele-Education and Virtual Learning Environments

GBP 21.99
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Learning and Teaching Early Math The Learning Trajectories Approach

Learning and Teaching Early Math The Learning Trajectories Approach

The third edition of this significant and groundbreaking book summarizes current research into how young children learn mathematics and how best to develop foundational knowledge to realize more effective teaching. Using straightforward practical language early math experts Douglas Clements and Julie Sarama show how learning trajectories help teachers understand children’s level of mathematical understanding and lead to better teaching. By focusing on the inherent delight and curiosity behind young children’s mathematical reasoning learning trajectories ultimately make teaching more joyous: helping teachers understand the varying levels of knowledge exhibited by individual students it allows them to better meet the learning needs of all children. This thoroughly revised and contemporary third edition of Learning and Teaching Early Math remains the definitive research-based resource to help teachers understand the learning trajectories of early mathematics and become confident credible professionals. The new edition draws on numerous new research studies offers expanded international examples and includes updated illustrations throughout. This new edition is closely linked with Learning and Teaching with Learning Trajectories–[LT]²–an open-access web-based tool for early childhood educators to learn about how children think and learn about mathematics. Head to LearningTrajectories. org for ongoing updates interactive games and practical tools that support classroom learning. | Learning and Teaching Early Math The Learning Trajectories Approach

GBP 52.99
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Visible Learning Insights

Visible Learning Insights

Visible Learning Insights presents a fascinating ‘inside view’ of the ground-breaking research of John Hattie. Together the authors John Hattie and Klaus Zierer embark on a mission to build on the internationally renowned work and combine the power and authority of the research with the real ‘coal face’ experience of schools. Offering a concise introduction into the ‘Visible Learning Story’ the book provides busy teachers with a guide to why the Visible Learning research is so vital and the difference it can make to learning outcomes. It includes: An in-depth dialogue between John Hattie and Klaus Zierer. Clearly structured chapters that focus on the core messages of ‘Visible Learning’ and infer practical consequences for the everyday job of teaching. FAQs to Visible Learning that provide an invaluable introduction to the language of learning and success in schools. An overview of the current data set with over 1 400 meta-analyses. Intended for teachers teacher students education researchers parents and all who are interested in successful learning teaching and schooling this short and elegant introduction outlines just what is required to translate Hattie’s research into improved school performance.

GBP 24.99
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Teacher Learning in Changing Contexts Perspectives from the Learning Sciences

Teacher Learning in Changing Contexts Perspectives from the Learning Sciences

New to the Routledge Advances in Learning Sciences series this book highlights diverse approaches taken by researchers in the Learning Sciences to support teacher learning. It features international perspectives from world class researchers that exemplify new lenses on the work of teaching encompassing new objects of learning methods and tools; new ways of working with researchers and peers; and new efforts to work with the systems in which teachers are embedded. Together the chapters in this volume reflect a new frontier of research on teacher learning that leverages diversity in the content contexts objects of inquiry and tools for supporting shifts in instructional practice. Divided into three sections chapters question: What new pedagogies and knowledge do teachers need to facilitate student learning in the 21st century? How do learning sciences’ tools strategies and experiences provide opportunities for them to learn these? What role do teachers play as co-designers of educational innovations? What unique affordances does co-design afford for teacher learning? What do teachers learn through engaging in co-design? How do teachers work and learn as part of interdisciplinary teams within educational systems? What might it look like to design for teacher learning in these broader organizational systems? Uniquely highlighting how cycles of reflection and co-design can serve as important mechanisms to support teacher learning this invaluable book lays the groundwork for sustained teacher learning and instructional improvement. | Teacher Learning in Changing Contexts Perspectives from the Learning Sciences

GBP 35.99
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Learning and Behavior

Learning and Behavior

Learning and Behavior reviews how people and animals learn and how their behaviors are changed because of learning. It describes the most important principles theories controversies and experiments that pertain to learning and behavior that are applicable to diverse species and different learning situations. Both classic studies and recent trends and developments are explored providing a comprehensive survey of the field. Although the behavioral approach is emphasized many cognitive theories are covered as well along with a chapter on comparative cognition. Real-world examples and analogies make the concepts and theories more concrete and relevant to students. In addition most chapters provide examples of how the principles covered have been employed in applied and clinical behavior analysis. The text proceeds from the simple to the complex. The initial chapters introduce the behavioral cognitive and neurophysiological approaches to learning. Later chapters give extensive coverage of classical conditioning and operant conditioning beginning with basic concepts and findings and moving to theoretical questions and current issues. Other chapters examine the topics of reinforcement schedules avoidance and punishment stimulus control and concept learning observational learning and motor skills comparative cognition and choice. Thoroughly updated each chapter features many new studies and references that reflect recent developments in the field. Learning objectives bold-faced key terms practice quizzes a chapter summary review questions and a glossary are included. The text is intended for undergraduate or graduate courses in psychology of learning (human) learning introduction to learning learning processes animal behavior (principles of) learning and behavior conditioning and learning learning and motivation experimental analysis of behavior behaviorism and behavior analysis.

GBP 180.00
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Unpacking your Learning Targets Aligning Student Learning to Standards

Unpacking your Learning Targets Aligning Student Learning to Standards

This accessible resource assists teachers instructional coaches principals and curricular leaders to adopt a simple straightforward framework that allows educators to seamlessly align high quality learning targets with specific standards. Full of examples across grade levels and subjects this useful book helps educators deepen their understanding of content and design more efficient lessons that will aid student learning and readiness. Unpacking Your Learning Targets is a guide into a deeper understanding of creating and designing learning targets that foster student learning and success for all. | Unpacking your Learning Targets Aligning Student Learning to Standards

GBP 24.99
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Learning Disabilities Contemporary Viewpoints

Learning Disabilities Contemporary Viewpoints

This volume examines the field of learning disabilities and the education of learning disabled (LD) children through the eyes of several experts. Contributors bring to the book such diverse academic backgrounds as education psychology special education and medicine. The chapters adapted from lectures given at the Landmark West School in California include audience questions and responses. Chapters on new medications for the LD child contemporary research on dyslexia and educational strategies for improving reading are complemented bychapters on social and emotional issues that affect the families of learning disabled children adolescents and young adults. | Learning Disabilities Contemporary Viewpoints

GBP 130.00
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Re-theorising Learning and Research Methods in Learning Research

Re-theorising Learning and Research Methods in Learning Research

Re-Theorising Learning and Research Methods in Learning Research explores the latest developments in the field of learning theory offering an overview of emerging methods and demonstrating how recent research contributes to furthering understanding of learning. This book illustrates how theory and methods inform one another facilitating advancements in the field while addressing the ways in which societal and technological change create a need for adapting approaches to examining learning. Drawing on an international team of contributors this book comprises 17 chapters and three commentaries thematically organised into three broad sections: emerging theories and conceptualisations of learning and how they drive methodological development new methods or innovative use of existing methods and their contribution to theory development theories and methods that emerge in connection with societal changes Both novice researchers and more experienced scholars will benefit from an overview of recent theoretical and methodological advances in the learning research field. This is an invaluable resource for researchers in the learning and educational research field and will also support Masters and PhD students to understand how learning theories and research methodology in the field have been evolving in recent years.

GBP 34.99
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