Learning Sciences

This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015. The book presents thirty peer-reviewed research papers, organised into four topical sections: on Mathematical Foundations; Computational Intelligence and Optimization Techniques; Modelling and Simulation Techniques; and Applications in Business and Engineering.

Applied Natural Language Processing: Identification, Investigation and Resolution is a volume dedicated to the successful application of processing tools to this information. The majority of this knowledge is expressed through textual media, which requires these tools to utilize the research in the field of Applied Natural Language Processing. This book contains state-of-the-art Applied Natural Language Processing techniques as well as their applications. The descriptions and studies are the product of established researchers in fields relating to ANLP, and this work is relevant to teachers, students, and materials developers in fields spanning computer science, linguistics, and cognitive science.

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Mobile devices impact on daily life has raised relevant questions regarding public and private space and communication. Both the technological environment (operating systems, platforms, apps) and media ecosystems (interface design, participatory culture, social media) influence how users deal with the public and private, intimate and personal spheres. Leading researchers in communication, art, computer engineering, education, law, sociology, philosophy, and psychology here explore current methodologies for studying the dichotomy of the public and private in mobile communication, providing a foundation for further research.

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Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: Provides a complete discussion of both the hardware and software used to organize big data Describes a wide range of useful applications for managing big data and resultant data sets Maintains a firm focus on massive data and large networks Unveils innovative techniques to help readers handle big data

This Handbook reviews a wealth of research in cognitive and educational psychology that investigates how to enhance learning and instruction to aid students struggling to learn and to advise teachers on how best to support student learning. The Handbook includes features that inform readers about how to improve instruction and student achievement based on scientific evidence across different domains, including science, mathematics, reading and writing. Each chapter supplies a description of the learning goal, a balanced presentation of the current evidence about the efficacy of various approaches to obtaining that learning goal, and a discussion of important future directions for research in this area. It is the ideal resource for researchers continuing their study of this field or for those only now beginning to explore how to improve student achievement.

"Written by leading researchers in educational and social psychology, learning science, and neuroscience, this edited volume is suitable for a wide-academic readership. It gives definitions of key terms related to motivation and learning alongside developed explanations of significant findings in the field. It also presents cohesive descriptions concerning how motivation relates to learning, and produces a novel and insightful combination of issues and findings from studies of motivation and/or learning across the authors' collective range of scientific fields. The authors provide a variety of perspectives on motivational constructs and their measurement, which can be used by multiple and distinct scientific communities, both basic and applied."

"This revised second edition incorporates the latest developments in multimedia learning and contains new chapters on topics such as drawing, video, feedback, working memory, learner control, and intelligent tutoring systems. It examines research-based principles to determine the most effective methods of multimedia instruction and considers research findings in the context of cognitive theory to explain how these methods work."

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"The interdisciplinary field of the learning sciences encompasses educational psychology, cognitive science, computer science, and anthropology, among other disciplines. In this dramatically revised second edition, leading scholars incorporate the latest research to provide practical advice on a wide range of issues. The authors address the best ways to write textbooks, design educational software, prepare effective teachers, organize classrooms, and use the Internet to enhance student learning. They illustrate the importance of creating productive learning environments both inside and outside school, including after school clubs, libraries, and museums."

"Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots. Illustrations, tables, and various simulative examples, as well as a healthy mix of plain and professional language, are used to explain the concepts and complex principles involved. Thus, the book provides readers in neurocomputing and robotics with a deeper understanding of the neural network approach to competition-based problem-solving, offers them an accessible introduction to modeling technology and the distributed coordination control of redundant robots, and equips them to use these technologies and approaches to solve concrete scientific and engineering problems."

The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience. As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student¿ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to "produce" outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: * Extensive sample code and tutorials using Python(tm) along with its technical libraries * Core technologies of "Big Data," including their strengths and limitations and how they can be used to solve real-world problems * Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity * A wide variety of case studies from industry * Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set.

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R.  Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling.  They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more. The only single-source guide to R data and its preparation, it describes best practices for acquiring, manipulating, cleaning, and maintaining data Begins with the basics and walks readers through all the steps necessary to get data ready for the modeling process Provides expert guidance on how to document the processes described so that they are reproducible Written by seasoned professionals, it provides both introductory and advanced techniques Features case studies with supporting data and R code, hosted on a companion website A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R is a valuable working resource/bench manual for practitioners who collect and analyze data, lab scientists and research associates of all levels of experience, and graduate-level data mining students.

A Panoramic View of the Future of Learning & the Role of Design(ers) in Such Experiences -- A Constructivist Process: Designing an Intervention to Teach Complex Thinking Skills -- Promoting Learner-Centered Instruction Through the Design of Contextually Relevant Experiences -- Reconsidering the Design of a Learning Design Studio -- The Multifacted Endeavor of Online Teaching: The Need for a New Lens -- Critiquing the Role of the Learner & Context in Aesthetic Learning Experiences -- Design Team Collaboration with a Complex Ill-Structured Design Problem -- Design of a Learner-Centered Seminar & Studio Based Polytechnic Institute -- Repertoire of Precedents: Designers KindlingFatwood During Reflection-in-Action.-Mastery Learning Within Accelerated Learning Environments -- Using Ubiquitous Learning Techniques to Build Competency in Science, Technology, Engineering, & Math: A sySTEMic Approach -- Designing Authentic Educational Experiences through Service-Learning -- Instructional Design as Feminist Practice -- The Kiowa Language & Culture Revitalization Program: Designing a Community-based Learning.-Model for an Endangered Language -- Examining Learning Experience in Two Online Courses using Web Logs & Experience Sampling Method (ESM) -- Reflections on the 2014 Summer Research Symposium

Interactive technology is increasingly integrated with physical objects that do not have a traditional keyboard and mouse style of interaction, and many do not even have a display. These objects require new approaches to interaction design, referred to as post-WIMP (Windows, Icons, Menus, and Pointer) or as embodied interaction design. This book provides an overview of the design opportunities and issues associated with two embodied interaction modalities that allow us to leave the traditional keyboard behind: tangible and gesture interaction. We explore the issues in designing for this new age of interaction by highlighting the significance and contexts for these modalities. We explore the design of tangible interaction with a reconceptualization of the traditional keyboard as a Tangible Keyboard, and the design of interactive three-dimensional (3D) models as Tangible Models. We explore the design of gesture interaction through the design of gesture-base commands for a walk-up-and-use information display, and through the design of a gesture-based dialogue for the willful marionette. We conclude with design principles for tangible and gesture interaction and a call for research on the cognitive effects of these modalities.

"The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering."

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"The Encyclopedia of Learning gathers experts in the fields of education, neuroscience, and psychology to examine how specific areas of the brain work in thought processes, and identifies how educators can apply what neuroscience has discovered to refine their teaching and instructional techniques."

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.

"This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability. The book is unique in terms of its content, originality and lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics is sufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections."

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"Describing the state of the science of applied behavior analysis (ABA), this comprehensive handbook provides detailed information about theory, research, and intervention. The contributors are leading ABA authorities who present best practices in behavioral assessment and demonstrate evidence-based strategies for supporting positive behaviors and reducing problem behaviors. Conceptual, empirical, and procedural building blocks of ABA are reviewed and specific applications described in education, autism treatment, addiction treatment, and other areas."

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Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science,this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice. Offering balanced coverage of methodology, theory, and applications, this handbook: Describes modern, scalable approaches for analyzing increasingly large datasets -- Defines the underlying concepts of the available analytical tools and techniques -- Details intercommunity advances in computational statistics and machine learning
Handbook of Big Data also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance. It also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance.

"Offers a methodologically-rigorous review of cognitive and learning sciences models for testing purposes, as well as the latest statistical and technological know-how for designing, scoring, and interpreting results. Covers conceptual frameworks, modern methodologies, and applied topics, in a style and at a level of technical detail that will appeal to a wide range of readers from both applied and scientific backgrounds Considers emerging topics in cognitively-grounded assessment, including applications of emerging socio-cognitive models, cognitive models for human and automated scoring, and various innovative virtual performance assessments."

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"The Handbook of Design in Educational Technology provides up-to-date, comprehensive summaries and syntheses of recent research pertinent to the design of information and communication technologies to support learning. Readers can turn to this handbook for expert advice about each stage in the process of designing systems for use in educational settings; from theoretical foundations to the challenges of implementation, the process of evaluating the impact of the design and the manner in which it might be further developed and disseminated. The volume is organized into the following four sections: Theory, Design, Implementation, and Evaluation. The more than forty chapters reflect the international and interdisciplinary nature of the educational technology design research field."

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"Handbook of Educational Data Mining (EDM) provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems that EDM has addressed."

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Part I. Psychological Inquiry in Education -- Part II. Functional Processes for Learning -- Part III. Learner Readiness & Development -- Part IV. Building Knowledge & Subject Matter Expertise -- Part V. The Learning & Task Environment

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The Handbook of Epistemic Cognition brings together leading work from across disciplines, to provide a comprehensive overview of an increasingly important topic: how people acquire, understand, justify, change, and use knowledge in formal and informal contexts. Research into inquiry, understanding, and discovery within academic disciplines has progressed from general models of conceptual change to a focus upon the learning trajectories that lead to expert-like conceptualizations, skills, and performance. Outside of academic domains, issues of who and what to believe, and how to integrate multiple sources of information into coherent and useful knowledge, have arisen as primary challenges of the 21st century. In six sections, scholars write within and across fields to focus and advance the role of epistemic cognition in education. With special attention to how researchers across disciplines can communicate and collaborate more effectively, this book will be an invaluable resource for anyone interested in the future of knowledge and knowing.

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"This authoritative volume provides state-of-the-art practices for supporting the approximately 20% of today's K-12 students who have emotional and behavioral disorders (EBD) that hinder school success. Leading experts present evidence-based approaches to screening, progress monitoring, intervention, and instruction within a multi-tiered framework."

This comprehensive reference delves into the complex process of medical decision making--both the nuts-and-bolts access and insurance issues that guide choices and the cognitive and affective factors that can make patients decide against their best interests. Wide-ranging coverage offers a robust evidence base for understanding decision making across the lifespan, among family members, in the context of evolving healthcare systems, and in the face of life-changing diagnosis. The section on applied decision making reviews the effectiveness of decision-making tools in healthcare, featuring real-world examples and guidelines for tailored communications with patients. Throughout, contributors spotlight the practical importance of the field and the pressing need to strengthen health decision-making skills on both sides of the clinician/client dyad. Among the Handbook's topics: From laboratory to clinic and back: connecting neuroeconomic and clinical mea sures of decision-making dysfunctions. Strategies to promote the maintenance of behavior change: moving from theoretical principles to practices. Shared decision making and the patient-provider relationship. Overcoming the many pitfalls of communicating risk. Evidence-based medicine and decision-making policy. The internet, social media, and health decision making. The Handbook of Health Decision Science will interest a wide span of professionals, among them health and clinical psychologists, behavioral researchers, health policymakers, and sociologists.

Visualizations are visual representations of non-visual data. They are produced for people to interact with and to make sense of the underlying data. Rapid advances in display technology and computer power have enabled researchers to produce visually appealing pictures. However, the effectiveness of those pictures in conveying the embedded information to end users has not been fully explored. Handbook of Human Centric Visualization addresses issues related to design, evaluation and application of visualizations. Topics include visualization theories, design principles, evaluation methods and metrics, human factors, interaction methods and case studies. This cutting-edge book includes contributions from well-established researchers worldwide, from diverse disciplines including psychology, visualization and human-computer interaction. This handbook is designed for a professional audience composed of practitioners, lecturers and researchers working in the field of computer graphics, visualization, human-computer interaction and psychology. Undergraduate and postgraduate students in science and engineering focused on this topic will also find this book useful as a comprehensive textbook or reference.

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Winner of the 2017 AERA Division D Significant Contribution to Educational Measurement and Research Methodology Award! Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more countries, more often, and in more subject domains. The Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis brings together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide that goes beyond database user manuals. After highlighting the importance of ILSA data to policy and research, the book reviews methodological aspects and features of the studies based on operational considerations, analytics, and reporting. The book then describes methods of interest to advanced graduate students, researchers, and policy analysts who have a good grounding in quantitative methods, but who are not necessarily quantitative methodologists. In addition, it provides a detailed exposition of the technical details behind these assessments, including the test design, the sampling framework, and estimation methods, with a focus on how these issues impact analysis choices.

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Providing comprehensive coverage of the theoretical bases of metacognition and its applications to educational practice, this compendium of focused and in-depth discussions from leading scholars in the field: represents an intersection of education, cognitive science, and technology; serves as a gateway to the literature for researchers and practitioners interested in one or more of the wide array of topics included; and sets the standard for scholarship for theoretical research and practical applications in this field. The Handbook of Metacognition in Education ¿ covering Comprehension Strategies, Metacognitive Strategies, Metacomprehension, Writing, Science and Mathematics, Individual Differences, Self-Regulated Learning, Technology, Tutoring, and Measurement ¿ is an essential resource for researchers, faculty, students, curriculum developers, teachers, and others interested in using research and theory on metacognition to guide and inform educational practice.

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text.

In the digital age, the integration of technology has become a ubiquitous aspect of modern society. These advancements have significantly enhanced the field of education, allowing students to receive a better learning experience. The Handbook of Research on Educational Design and Cloud Computing in Modern Classroom Settings is a pivotal reference source for the latest research findings on the strategic role of cloud computing in education, teaching, and the learning process. Featuring extensive coverage on relevant areas such as personal learning environment, cloud-based learning, and educational models, this publication is an ideal resource for educators, professionals, school administrators, researchers, and practitioners in the field of education.

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Games and gaming have always been an important part of society and culture. Within the last 35 years, due to numerous technology innovations, electronic games in many formats have not only become ubiquitous in everyday recreational life but have also permeated many professional fields and disciplines for multiple purposes including teaching and learning.The Handbook of Research on Effective Electronic Gaming in Education presents a framework for understanding games for educational purposes while providing a broader sense of current related research. Compiling over 50 groundbreaking research studies from leading international authorities in the field, this advanced and uniquely comprehensive reference is a must-have for academic and research libraries and for all those interested in expanding their theoretical and practical knowledge of the exciting field of electronic gaming.

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"The book is divided into two sections: learning and instruction. The learning section consists of chapters on how people learn in reading, writing, mathematics, science, history, second language, and physical education, as well as how people acquire the knowledge and processes required for critical thinking, studying, self-regulation, and motivation. The instruction section consists of chapters on effective instructional methods--feedback, examples, questioning, tutoring, visualizations, simulations, inquiry, discussion, collaboration, peer modeling, and adaptive instruction."

For more than two decades, the concept of student engagement has grown from simple attention in class to a construct comprised of cognitive, emotional, and behavioral components that embody and further develop motivation for learning. Similarly, the goals of student engagement have evolved from dropout prevention to improved outcomes for lifelong learning. This robust expansion has led to numerous lines of research across disciplines and are brought together clearly and comprehensively in the Handbook of Research on Student Engagement. The Handbook guides readers through the field's rich history, sorts out its component constructs, and identifies knowledge gaps to be filled by future research. Grounding data in real-world learning situations, contributors analyze indicators and facilitators of student engagement, link engagement to motivation, and gauge the impact of family, peers, and teachers on engagement in elementary and secondary grades. Findings on the effectiveness of classroom interventions are discussed in detail. And because assessing engagement is still a relatively new endeavor, chapters on measurement methods and issues round out this important resource. Topical areas addressed in the Handbook include: Engagement across developmental stages. Self-efficacy in the engaged learner. Parental and social influences on engagement and achievement motivation. The engaging nature of teaching for competency development. The relationship between engagement and high-risk behavior in adolescents. Comparing methods for measuring student engagement. An essential guide to the expanding knowledge base, the Handbook of Research on Student Engagement serves as a valuable resource for researchers, scientist-practitioners, and graduate students in such varied fields as clinical child and school psychology, educational psychology, public health, teaching and teacher education, social work, and educational policy.

As society continues to experience increases in technological innovations, various industries must rapidly adapt and learn to incorporate these advances. When utilized effectively, the use of computer systems in educational settings creates a richer learning environment for students. The Handbook of Research on 3-D Virtual Environments and Hypermedia for Ubiquitous Learning is a critical reference source for the latest research on the application of virtual reality in educational environments and how the immersion into three-dimensional settings enhances student motivation and interaction. Exploring innovative techniques and emerging trends in virtual learning and hypermedia, this book is ideally designed for researchers, developers, upper-level students, and educators interested in the incorporation of immersive technologies in the learning process.

The second edition of the popular Handbook of Self-Regulation of Learning and Performance responds to and incorporates the wealth of new research that the first edition inspired on the subject. At the same time, it advances meaningful perspectives on the scholarship and history that originally shaped the field. Divided into five major sections -- basic domains, context, technology, methodology and assessment, and individual and group differences -- this thoroughly updated handbook addresses recent theoretical refinements and advances in instruction and intervention that have changed approaches to developing learners' capabilities to self-regulate in educational settings. Chapters written by leading experts in the field include discussions of methodological advances and expansions into new technologies and the role of learner differences in such areas as contexts and cultures. As a comprehensive guide to a rapidly evolving and increasingly influential subject area, this volume represents contemporary and future thinking in self-regulation theory, research, and applications.

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"The burgeoning multidisciplinary field of social and emotional learning (SEL) now has a comprehensive and definitive handbook covering all aspects of research, practice, and policy. The prominent editors and contributors describe state-of-the-art intervention and prevention programs designed to build students' skills for managing emotions, showing concern for others, making responsible decisions, and forming positive relationships. Conceptual and scientific underpinnings of SEL are explored and its relationship to children's and adolescents' academic success and mental health examined. Issues in implementing and assessing SEL programs in diverse educational settings are analyzed in depth, including the roles of school- and district-level leadership, teacher training, and school-family partnerships."

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas--from science and engineering, to medicine, academia and commerce.

Handbook of Virtual Environments: Design, Implementation, and Applications presents systematic and extensive coverage of the primary areas of research and development within VE technology. It brings together a comprehensive set of contributed articles that address the principles required to define system requirements and design, build, evaluate, implement, and manage the effective use of VE applications.This second edition includes nine new, as well as forty-one updated chapters that reflect the progress made in basic and applied research related to the creation, application, and evaluation of virtual environments.

The second Edition of this remarkable Handbook offers readers a comprehensive overview of the science and technology of visual displays and the economic and human interface factors associated with the displays industry. Unique in the displays field, the Handbook serves as a single reference source with expert contributions from over 150 international display professionals and academic researchers. The Handbook contains extensive coverage of established and emerging display technologies, with discussion of physical principles, materials science and processing, device technologies and particular areas of application. The wide-ranging content also encompasses the fundamental science of light and vision, image acquisition and manipulation, display materials and processing techniques, TFTs, display driving and metrology. Prominence is given to liquid crystal displays, with later chapters devoted to emerging technologies including flexible displays, electrophoretic, electrowetting and electrofluidic displays and MEMS-based displays. Other sections consider 3D display solutions, projection systems and head-worn displays.

This book guides the adoption, design, development and expectation of future digital teaching and learning projects/programs in K12 schools. It provides a series of case studies and reports experiences from international digital teaching and learning projects in K12 education. The book also furnishes advice for future school policy and investment in digital teaching and learning projects. Finally, the book provides an explanation of the future capacity and sustainability of digital teaching and learning in K12 schools.

Consolidating recent research in the area, the Handbook on Mobile and Ubiquitous Computing: Status and Perspective illustrates the design, implementation, and deployment of mobile and ubiquitous systems, particularly in mobile and ubiquitous environments, modeling, database components, and wireless infrastructures. Supplying an overarching perspective, the book is ideal for researchers, graduate students, and industry practitioners in computer science and engineering interested in recent developments in mobile and ubiquitous computing. It discusses new trends in intelligent systems, reviews sensory input and multimedia information, and examines embedded real-time systems. With coverage that spans security, privacy, and trust, the book is divided into six parts: Mobile and Ubiquitous Computing--illustrates the concepts, design, implementation, and deployment of mobile and ubiquitous systems; Smart Environments and Agent Systems--discusses a new trend toward intelligent systems that are completely connected, proactive, intuitive, and constantly available; Human-Computer Interaction and Multimedia Computing--describes guidelines for designing multisensory input and output for mobile devices; Security, Privacy, and Trust Management--presents an approach to dynamically establish trust between a system and its mobile client in a flexible manner using a multi-agent negotiation mechanism; Embedded Real-Time Systems--introduces novel work on how mobile, ubiquitous, and intelligence computing can be realized; Networking Sensing and Communications--covers challenges, designs, and prototype solutions for establishing, managing, and maintaining current sensor networks in mobile and ubiquitous computing environments

This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning  Kernel methods for structured data  Multiple classifier systems  Self organisation and modal learning  Applications to content-based image retrieval, text mining in large document collections, and bioinformatics   This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.

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This second edition of The Human-Computer Interaction Handbook provides an updated, comprehensive overview of the most important research in the field, including insights that are directly applicable throughout the process of developing effective interactive information technologies. It features cutting-edge advances to the scientific knowledge base, as well as visionary perspectives and developments that fundamentally transform the way in which researchers and practitioners view the discipline. nbsp; As the seminal volume of HCI research and practice, The Human-Computer Interaction Handbook features contributions from a selection of eminent professionals in the field worldwide. It stands alone as the most essential resource available on the market. This edition of the volume throughly covers issues of accessibility and diversity, such as aging, literacy, hearing, vision, physical disabilities, and children. Additional topics addressed are: *sensor based interactions; *tangible interfaces; *augmented cognition; *cognition under stress; *ubiquitous and wearable computing; and *privacy and security. This book is useful for practitioners seeking to understand the latest research results to apply when developing new interactive information technologies, as well as for graduate students studying human-centered computing, human-computer interaction, or related fields.

This book provides a multidisciplinary view into how individuals and groups interact with the information environments that surround them. The book discusses how informational environments shape our daily lives, and how digital technologies can improve the ways in which people make use of informational environments.

Education in today's technologically advanced environments makes complex cognitive demands on students pre-learning, during, and post-learning. Not surprisingly, these analytical learning processes--metacognitive processes--have become an important focus of study as new learning technologies are assessed for effectiveness in this area.Rich in theoretical models and empirical data, the International Handbook of Metacognition and Learning Technologies synthesizes current research on this critical topic. This interdisciplinary reference delves deeply into component processes of self-regulated learning (SRL), examining theories and models of metacognition, empirical issues in the study of SRL, and the expanding role of educational technologies in helping students learn. Innovations in multimedia, hypermedia, microworlds, and other platforms are detailed across the domains, so that readers in diverse fields can evaluate the theories, data collection methods, and conclusions. And for the frontline instructor, contributors offer proven strategies for using technologies to benefit students at all levels. For each technology covered, the Handbook: Explains how the technology fosters students' metacognitive or self-regulated learning.Identifies features designed to study or support metacognitve/SRL behaviors.Reviews how its specific theory or model addresses learners' metacognitive/SRL processes.Provides detailed findings on its effectiveness toward learning.Discusses its implications for the design of metacognitive tools.Examines any theoretical, instructional, or other challenges.These leading-edge perspectives make the International Handbook of Metacognition and Learning Technologies a resource of great interest to professionals and researchers in science and math education, classroom teachers, human resource researchers, and industrial and other instructors.

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Section One. Foundations of Teachers’ Beliefs Research -- Section Two. Studying Teachers’ Beliefs -- Section Three. Teachers’ Identity, Motivation, & Affect -- Section Four. Contexts & Teachers’ Beliefs -- Section 5. Teachers’ Beliefs about Knowing & Teaching within Academic Domains -- Section Six. Teachers’ Beliefs about Learners

"The International Handbook of the Learning Sciences is a comprehensive collection of international perspectives on this interdisciplinary field. In more than 50 chapters, leading experts synthesize past, current, and emerging theoretical and empirical directions for learning sciences research. The three sections of the handbook capture, respectively: foundational contributions from multiple disciplines and the ways in which the learning sciences has fashioned these into its own brand of use-oriented theory, design, and evidence; learning sciences approaches to designing, researching, and evaluating learning broadly construed; and the methodological diversity of learning sciences research, assessment, and analytic approaches."

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website.

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If you want to design and develop games, there's no substitute for strong hands-on experience with modern techniques and tools--and that is exactly what this book provides. The first edition was frequently the top-selling game design book on Amazon, with more than 70% of the reviews being 5 stars. In a testament to the iterative process of design, this new edition includes hundreds of improvements throughout the text, all designed to make the book easier to understand and even more useful. Award-winning game designer and professor Jeremy Gibson Bond has spent more than a decade teaching game design and building great games. In that time, his most successful students have been those who combine knowledge of three critical disciplines: game design theory, rapid iterative prototyping, and practical programming.

In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.

Learning in informal settings is attracting growing attention from policymakers and researchers, yet there remains, at the moment, a dearth of literature on the topic. Thus this volume, which examines how science and mathematics are experienced in everyday and out-of-school-time (OST) settings, makes an important contribution to the field of the learning sciences. Conducting research on OST learning requires us to broaden and deepen our conceptions of learning as well as to better identify the unique and common qualities of different learning settings. We must also find better ways to analyze the interplay between OST and school-based learning.In this volume, scholars develop theoretical structures that are useful not only for understanding learning processes, but also for helping to create and support new opportunities for learning, whether they are in or out of school, or bridging a range of settings. The chapters in this volume include studies of everyday and 'situated' processes that facilitate science and mathematics learning. They also feature new theoretical and empirical frameworks for studying learning pathways that span both in- and out-of-school time and settings. Contributors also examine structured OST programs in which everyday and situated modes of learning are leveraged in support of more disciplined practices and conceptions of science and mathematics. Fortifying much of this work is a leading focus on educational equity--a desire to foster more socially supportive and intellectually engaging science and mathematics learning opportunities for youth from historically non-dominant communities. Full of compelling examples and revealing analysis, this book is a vital addition to the literature on a subject with a fast-rising profile.

The Internet of Things (IoT) refers to the evolution of the internet as the interconnection not just of computers, but also uniquely identifiable, pervasive embedded devices. Research has estimated there will be nearly 30 billion devices on the Internet of Things within the next decade. The implementation and deployment of the IoT brings with it management challenges around seamless integration, heterogeneity, scalability, mobility, security, and many other issues. This book explores these challenges and possible solutions. Topics covered include topology control for building scalable energy efficient IoT; a survey of wireless sensor network operating systems; concepts, designs and implementation of wireless sensor network operating systems; OSIRIS - a framework for sensor-based monitoring systems; modeling and tracing events in RFID-enabled supply chains; a new clone detection approach in RFID-enabled supply chains; participatory sensing networks - a paradigm to achieve IoT applications; market structure analysis of the economics of IoT; and IoT and big data applications for urban planning and building smart cities. This book is essential reading for researchers in academia and industry developing IoT technologies - an interdisciplinary area that brings together researchers in telecommunications, sensor networks, computing and security.

E-learning has brought an enormous change to instruction, in terms of both rules and tools. Contemporary education requires diverse and creative uses of media technology to keep students engaged and to keep up with rapid developments in the ways they learn and teachers teach. Media Rich Instruction addresses these requirements with up-to-date learning theory and practices that incorporate innovative platforms for information delivery into traditional areas such as learning skills and learner characteristics. Experts in media rich classroom experiences and online instruction delve into the latest findings on student cognitive processes and motivation to learn while offering multimedia classroom strategies geared to specific curriculum areas. Advances such as personal learning environments, gamification, and the Massive Open Online Course are analyzed in the context of their potential for collaborative and transformative learning. And each chapter features key questions and application activities to make coverage especially practical across grade levels and learner populations.

This volume presents different conceptual and theoretical frameworks as well as research methods that have helped educational researchers to study emotions. It includes innovative approaches that push the methodological boundaries that have served educational researchers until now and proposes new ways of researching emotions in educational contexts. In particular,this edited volume provides a historical frame for studying emotions. It connects theoretical/epistemological views with choice of research methods and describes specific methods helpful in doing research on emotions as they are grounded in different theoretical and disciplinary traditions such as psychology, philosophy,sociology, history, political science, cultural studies, and feminist studies.Finally, it appreciates the contextual and international dimensions of studying emotions in education and contributes to ongoing debates about the implications of our methodological choices for understanding emotion in education. This combination of variety, timeliness, potential for transformation of the field,and uniqueness make this a very valuable resource to introduce new scholars in the field alongside established scholars.

Explore the game-changing technology that allows mobile learning to effectively reach K-12 students Mobile Learning: A Handbook for Developers, Educators and Learners provides research-based foundations for developing,evaluating, and integrating effective mobile learning pedagogy.Twenty-first century students require twenty-first century technology, and mobile devices provide new and effective ways to educate children. But with new technologies come new challenges -- therefore,this handbook presents a comprehensive look at mobile learning by synthesizing relevant theories and drawing practical conclusions for developers, educators, and students. Mobile devices -- in ways that the laptop, the personal computer, and netbook computers have not -- present the opportunity to make learning more engaging, interactive, and available in both traditional classroom settings and informal learning environments. From theory to practice, Mobile Learning explores how mobile devices are different than their technological predecessors, makes the case for developers,teachers, and parents to invest in the technology, and illustrates the many ways in which it is innovative, exciting, and effective in educating K-12 students. Explores how mobile devices can support the needs of students Provides examples, screenshots, graphics, and visualizations to enhance the material presented in the book Provides developers with the background necessary to create the apps their audience requires Presents the case for mobile learning in and out of classrooms as early as preschool Discusses how mobile learning enables better educational opportunities for the visually impaired, students with Autism, and adult learners. If you're a school administrator, teacher, app developer, or parent, this topical book provides a theoretical, well-researched discussion of the pedagogical theory and mobile learning, as well as practical advice in setting up a mobile learning strategy.

Indoor location is one of the two most important contexts (time and location), becoming a key entry for mobile Internet. This book envisions potential indoor location applications, overviews the related state of the art technologies, and presents original patented techniques and open source prototype systems. The tutorial and sample code are provided as a good reference and starting point for readers who are interested in the technique detail.

Learn the basic principles of modular design, and then put them in action to create sites that are easy to use, look great, and can be adapted within the context of your business needs. With author James Cabrera—one of the thought leaders in the modular-design movement—you'll create a single, scalable project for a sample nameplate site and then adapt that same project to work successfully as a portfolio site, an e-commerce site, and finally as a news/publishing content site. Along the way, you'll learn the scientific approach to devising a sound and scalable design strategy, followed by establishing a basic foundation using various criteria relevant to that type of site. As each chapter progresses, you'll add new concepts appropriate for the project type. Modular web and app design isn't just for so-called "creatives." It's a teachable science with principles that can be replicated in a creative manner. This approach makes the design decision making process for businesses much easier (and easier to live with). And modular design is a powerful tool for software designers to replicate effective successful designs across a spectrum of needs.

This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users. Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to – which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) – ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book.

The earliest educational software simply transferred print material from the page to the monitor. Since then, the Internet and other digital media have brought students an ever-expanding, low-cost knowledge base and the opportunity to interact with minds around the globe--while running the risk of shortening their attention spans, isolating them from interpersonal contact, and subjecting them to information overload. The New Science of Learning: Cognition, Computers and Collaboration in Education deftly explores the multiple relationships found among these critical elements in students' increasingly complex and multi-paced educational experience. Starting with instructors' insights into the cognitive effects of digital media--a diverse range of viewpoints with little consensus--this cutting-edge resource acknowledges the double-edged potential inherent in computer-based education and its role in shaping students' thinking capabilities. Accordingly, the emphasis is on strategies that maximize the strengths and compensate for the negative aspects of digital learning, including: Group cognition as a foundation for learning Metacognitive control of learning and remembering Higher education course development using open education resources Designing a technology-oriented teacher professional development model Supporting student collaboration with digital video tools Teaching and learning through social annotation practices The New Science of Learning: Cognition, Computers and Collaboration in Education brings emerging challenges and innovative ideas into sharp focus for researchers in educational psychology, instructional design, education technologies, and the learning sciences.

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Cognitive Science is an avowedly multidisciplinary field, drawing upon many traditional disciplines or research areas - including Linguistics, Neuroscience, Philosophy, Psychology, Anthropology, Artificial Intelligence, and Education - that contribute to our understanding of cognition. Just aslearning and memory cannot truly prove effective as disconnected studies, practical applications of cognitive research, such as the improvement of education and human-computer interaction, require dealing with more complex cognitive phenomena by integrating the methods and insights from multipletraditional disciplines. The societal need for such applications has played an important role in the development of cognitive science.The Oxford Handbook of Cognitive Science emphasizes the research and theory that is most central to modern cognitive science. Sections of the volume address computational theories of human cognitive architecture; cognitive functioning, such as problem solving and decision making as they have beenstudied with both experimental methods and formal modeling approaches; and cognitive linguistics and the advent of big data. Chapters provide concise introductions to the present achievements of cognitive science, supplemented by references to suggested reading, and additional facets of cognitivescience are discussed in the handbook's introductory chapter, complementing other key publications to access for further study. With contributions from among the best representatives in their fields, this volume will appeal as the critical resource for the students in training who determine thefuture of cognitive science.

This book introduces fundamental concepts and theories in pervasive computing as well as its key technologies and applications. It explains how to design and implement pervasive middleware and real application systems, covering nearly all aspects related to pervasive computing. Key technologies in the book include pervasive computing-oriented resource management and task migration, mobile pervasive transaction, human computer interface, and context collection-oriented wireless sensor networks.

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"Topics cover the following areas: brain development, learning, curriculum, at-risk, classroom management, culture, emotion, foods, intelligence, learning environments, learning challenges, learning theories, and physical movement. Focus is on K-12 education, but also includes information on the pre-school and adult learner."

Process Modeling and Management for Healthcare provides the reader with an in-depth analysis of what process modeling and process management techniques can do in healthcare, the major challenges faced, and those challenges remaining to be faced. The book features contributions from leading authors in the field. The book is structured into two parts. Part one covers fundamentals and basic concepts in healthcare. It explores the architecture of a process management environment, the flexibility of a process model, and the compliance of a process model. It also features a real application domain of patients suffering from age-related macular degeneration. Part two of the book includes advanced topics from the leading frontiers of scientific research on process management and healthcare. This section of the book covers software metrics to measure features of the process model as a software artifact. It includes process analysis to discover the formal properties of the process model prior to deploying it in real application domains. Abnormal situations and exceptions, as well as temporal clinical guidelines, are also presented in depth.

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"Each chapter includes coverage of the key thinkers, topic areas, events, and ideas that have shaped the field, but also takes the reader beyond typical textbook material and into engagement with current issues, cutting-edge research and future directions in the field of educational psychology from an international perspective. With over 30 chapters, the volume is divided into four themed sections: 'An introduction to educational psychology', 'How children learn and develop', 'Issues concerning the assessment of children' and 'Identifying and meeting the needs of children with learning difficulties'."

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Part 1 How can we think about young children’s thinking?: concepts & contexts -- Part 2 Knowing about the brain & knowing about the mind -- Part 3 Making sense of the world -- Part 4 Documenting & developing children's thinking

"This SAGE encyclopedia examines information on leveraging the power of technology to support teaching and learning. While using innovative technology to educate individuals is certainly not a new topic, how it is approached, adapted, and used toward the services of achieving real gains in student performance is extremely pertinent. This reference explores such issues, focusing on core topics and issues that will retain relevance in the face of perpetually evolving devices, services, and specific techniques."

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"Chapters focus on areas of development in e-learning technology, theory, practice, pedagogy and method of analysis. The 25 chapters are organised into six key areas: 1. THEORY 2. LITERACY & LEARNING 3. METHODS & PERSPECTIVES 4. PEDAGOGY & PRACTICE 5. BEYOND THE CLASSROOM 6. FUTURES"

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"Combining traditional views of learning and learning theory with sociocultural and historical perspectives, this Handbook brings together original contributions from respected researchers who are leading figures in the field. The Handbook is organized into four sections, each beginning with a short introduction: Philosophical, Sociological and Psychological Theories of Learning -- Models of Learning -- Learning, Curriculum, Pedagogy and Assessment -- Learning Dispositions, Life-Long Learning and Learning Environments"

The First International Conference on Signal and Information Processing, Networking and Computers (ICSINC) focuses on the key technologies and challenges of signal and information processing schemes, network application, computer theory and application, etc. Topics in this conference include: Information Theory The work contains state-of-the-art research work in the field of information theory from traditional media coding theory, compressing and streaming theory to the latest quantum theory & statistics and big data analytics, featuring the most active research interests in this field. Communication System As a traditional and fundamental aspect of the conference in the field of signal processing and networking, ICSINC publications includes research works focusing on physical layer transmission theory such as MIMO transmission, adaptive antenna theory, and radar and satellite transmission, etc. Research works in the field of SDN, wireless security and 5G related theories are also included. Computer Science The conference also encompasses relevant topics in computer science such as AI & neural network, patter recognition & learning, and medical image processing etc. Other topics such as internet application, biometric & authentication are also included. Workshop ICSINC features workshops hosted by experts from the industrial world. The workshop on Telecom Big Data based Research and Application promotes the in-depth exploration of the most recent research and development findings on the basis of telecom big data. This workshop provides participation of the industry to showcase and commercialize their relevant technology and application as well as products. All materials will be included in publication.

Big Data Analytics -- Compressed Sensing -- Information Theory & Statistics -- Quantum Information & Coding Theory -- Spectrum Estimation & Modeling -- Spectrum Shaping & Filters -- Signal Detection and Synchronization -- Signal Processing in Networked Systems -- Pattern Recognition & Learning.- AI & Neural Networks -- Machine Learning

How to utilize digital technology to engage learners in deep learning is an issue that warrants significant attention in 21st century education. Deep learning refers to learners engagement in critical and creative thinking, making inferences and transferring knowledge. Modern technologies like virtual reality, artificial intelligence, and 3D visualization provide the platform for deep learning in an educational setting more effectively. This book presents a collection of essays on the relationship between digital technologies and deep learning. The edited volume focuses on cognitive, metacognitive and affective processes in digital technology-based deep learning. A unique feature of the book is its emphasis on bridging the theories with practice where the practice of deep learning with digital technology is well-grounded in relevant theories and theoretical frameworks. Moreover, the book includes case studies to effectively promote the application of digital technology in deep learning. As such, the book is rightly poised to address current issues facing deep learning and digital technology in education. The audience will find this book a useful companion as they will soon discover that this book provides helpful information on both theoretical and practical aspects in deep learning with digital technology. It also serves as an excellent resource for researchers and individual professionals who seek to understand the relationship between deep learning and digital technology in education.

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Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection - a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining - also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.

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Theoretical Foundations of Learning Environments provides students, faculty, and instructional designers with a clear, concise introduction to the major pedagogical and psychological theories and their implications for the design of new learning environments for schools, universities, or corporations. Leading experts describe the most important contemporary theories that form the foundation of the conception and design of student-centered learning environments and new applications of educational technologies. This book is well suited as a textbook for courses in instructional design, educational psychology, learning theory, curriculum theory and design, and related areas. The rise of constructivism and its associated theories represented a paradigm shift for educators and instructional designers to a view of learning as necessarily more social, conversational, and constructive than traditional transmissive views of learning. This bestselling book was the first to provide a manageable overview of the altered field, and the second edition has been fully updated to include expert introductions to Metacognition, Argumentation, and other key contemporary theories.

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"Offers an examination of learning technology that is equal parts theoretical and practical, covering both the technology of learning and the use of technology in learning. Individual chapters tackle timely and controversial subjects, such as gaming and simulation, security, lifelong learning, distance education, learning across educational settings, and the research agenda"