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Using Apps for Learning Across the Curriculum: A Literacy-Based Framework and Guide
by David O'Brien Richard BeachHow can apps be used to foster learning with literacy across the curriculum? This book offers both a theoretical framework for considering app affordances and practical ways to use apps to build students’ disciplinary literacies and to foster a wide range of literacy practices. Using Apps for Learning Across the Curriculum presents a wide range of different apps and also assesses their value features methods for and apps related to planning instruction and assessing student learning identifies favorite apps whose affordances are most likely to foster certain disciplinary literacies includes resources and apps for professional development provides examples of student learning in the classroom A website (www.usingipads.pbworks.com) with resources for teaching and further reading for each chapter, a link to a blog for continuing conversations about topics in the book (appsforlearningliteracies.com), and more enhance the usefulness of the book.
Using Artificial Neural Networks for Analog Integrated Circuit Design Automation (SpringerBriefs in Applied Sciences and Technology)
by Nuno C. Lourenço Ricardo M. Martins João P. Rosa Daniel J. Guerra Nuno C. HortaThis book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explores an innovative approach to automatic circuit sizing where ANNs learn patterns from previously optimized design solutions. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from devices’ sizes to circuits’ performances provided by design equations or circuit simulations, ANNs are shown to be capable of solving analog IC sizing as a direct map from specifications to the devices’ sizes. Two separate ANN architectures are proposed: a Regression-only model and a Classification and Regression model. The goal of the Regression-only model is to learn design patterns from the studied circuits, using circuit’s performances as input features and devices’ sizes as target outputs. This model can size a circuit given its specifications for a single topology. The Classification and Regression model has the same capabilities of the previous model, but it can also select the most appropriate circuit topology and its respective sizing given the target specification. The proposed methodology was implemented and tested on two analog circuit topologies.
Using Artificial Neural Networks for Timeseries Smoothing and Forecasting: Case Studies in Economics (Studies in Computational Intelligence #979)
by Jaromír VrbkaThe aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the reader with the history and characteristics of the methods and with the time series issues in general. Both statistical and econometric methods, and especially artificial intelligence methods, are used in the case studies. The publication presents both traditional and innovative methods on the theoretical level, always accompanied by a case study, i.e. their specific use in practice. Furthermore, a comprehensive comparative analysis of the individual methods is provided. The book is intended for readers from the ranks of academic staff, students of universities of economics, but also the scientists and practitioners dealing with the time series prediction. From the point of view of practical application, it could provide useful information for speculators and traders on financial markets, especially the commodity markets.
Using Blended Learning
by Khe Foon Hew Wing Sum CheungThis book discusses evidence-based practices related to the use of blended learning in both K-12 and higher education settings. Specifically, this book features evidence-based practices in relation to the following five learning goals: (a) Fostering students' attitude change toward country, (b) Helping students' solve ill-structured design task problems, (c) Improving students' critical thinking in assessing sources of information, (d) Improving students' narrative and argumentative writing abilities and (e) Enhancing students' knowledge retention and understanding. To achieve this aim, the authors draw upon their own research studies as well as some other relevant studies to reveal the pedagogical approaches, the specific instructional/learning activities, the technologies utilized and the overall framework for developing blended learning experiences.
Using Data Science and Landscape Approach to Sustain Historic Cities
by Ali Moazzeni KhorasganiThis book comprehensively explores sustaining historic cities using a landscape approach and data science. The author offers valuable insights for professionals and enthusiasts interested in preserving and developing urban heritage through a data driven approach. Drawing on the synergy between landscape architecture and data science, the book delves into the intricate interplay between historical, cultural, and environmental factors in urban settings. Readers will understand how to navigate historic cities' complex challenges through case studies, research findings, and practical methodologies. The book equips readers with innovative strategies for preserving the authenticity of these cities while embracing sustainable development practices. By blending theory and real-world applications, this book is a comprehensive guide for creating thriving, resilient, and culturally rich urban environments.
Using Detection Dogs to Monitor Aquatic Ecosystem Health and Protect Aquatic Resources
by Ngaio L. RichardsThis book is about the varied range of emerging applications using specially trained detection dogs to monitor and protect aquatic ecosystems, animals, plants and related resources. Featuring contributions from those at the forefront of converging disciplines ranging from canine training, ecological and biological monitoring, water resource management, law enforcement, and eco-toxicology, it addresses everyone already immersed in these or related fields, and anyone seeking to gain a broader understanding of them. Chapters cover several common themes including monitoring presence/absence through biological and ecological surveys; maintaining and evaluating water quality; law enforcement and anti-poaching initiatives; public education, awareness and compliance; standards and best practices; optimal uses of dogs in relation to and in conjunction with other available tools and pragmatic considerations for selecting and working with dogs and handlers. The aim of the book is to stimulate new ideas, promote the sharing and dissemination of information and findings - and, ideally, to catalyze new and innovative partnerships, to strengthen the preservation and conservation of our aquatic heritage.
Using Educational Robots to Enhance Learning: An Analysis of 100 Academic Articles (Smart Computing and Intelligence)
by Dejian Liu Ronghuai Huang Ying Chen Michael Agyemang Adarkwah Xiangling Zhang Xin Li Junjie Zhang Ting DaThis book presents advances in the research of educational robotics and showcases how they can be used to facilitate learning. It summarizes popular and relevant terms and theories in educational robotics via analyzing one hundred influential journal articles in this field, to provide readers background knowledge on the subject matter. This book also guides readers in understanding how different types of robotics are utilized to promote learning among different types of students, in different contexts, and in different disciplines of study.
Using Excel to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and Process Engineers”
by Yuri A.W. ShardtThis book provides a complete overview of how to use Excel to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed Excel examples for solving specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired.
Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies (Synthesis Lectures on Technology Management & Entrepreneurship)
by Rui Neves Manuel MouraThis book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models is meticulously constructed, incorporating four distinct algorithms: support vector machine, k-nearest neighbors, random forest, and logistic regression. These models all make use of financial ratios extracted from company financial statements for the purposes of predictive forecasting. The ensemble classifier is subject to a strict testing of precision which compares it to the performance of its constituent models separately. Rolling window and cross-validation tests are used in this evaluation in order to provide a comprehensive assessment framework. A risk-off filter is developed to limit risk during uncertain market periods, and consequently to improve the Sharpe ratio of the model. The risk adjusted performance of the final model, supported by the risk-off filter, achieves a Sharpe ratio of 1.63 which surpasses both the model’s performance without the filter that delivers Sharpe ratio of 1.41 and the one from the S&P500 index of 0.80. The substantial increase in risk-adjusted returns is accomplished by reducing the model’s volatility from an annual standard of deviation of 15.75% to 11.22%, which represents an almost 30% decrease in volatility.
Using Game Theory to Improve Safety within Chemical Industrial Parks
by Genserik Reniers Yulia PavlovaThough the game-theoretic approach has been vastly studied and utilized in relation to economics of industrial organizations, it has hardly been used to tackle safety management in multi-plant chemical industrial settings. Using Game Theory for Improving Safety within Chemical Industrial Parks presents an in-depth discussion of game-theoretic modeling which may be applied to improve cross-company prevention and -safety management in a chemical industrial park. By systematically analyzing game-theoretic models and approaches in relation to managing safety in chemical industrial parks, Using Game Theory for Improving Safety within Chemical Industrial Parks explores the ways game theory can predict the outcome of complex strategic investment decision making processes involving several adjacent chemical plants. A number of game-theoretic decision models are discussed to provide strategic tools for decision-making situations. Offering clear and straightforward explanations of methodologies, Using Game Theory for Improving Safety within Chemical Industrial Parks provides managers and management teams with approaches to asses situations and to improve strategic safety- and prevention arrangements.
Using Games and Simulations for Teaching and Assessment: Key Issues
by Harold F. O'Neil Eva L. Baker Ray S. PerezUsing Games and Simulations for Teaching and Assessment: Key Issues comprises a multidisciplinary investigation into the issues that arise when using games and simulations for educational purposes. Using both theoretical and empirical analyses, this collection examines cognitive, motivational, and psychometric issues with a focus on STEM content. Unlike other research-based volumes that focus solely on game design or the theoretical basis behind gaming, this book unites previously disparate communities of researchers—from civilian to military contexts as well as multiple disciplines—to critically explore current problems and illustrate how instructionally effective games and simulations should be planned and evaluated. While computer-based simulations and games have the potential to improve the quality of education and training, Using Games and Simulations for Teaching and Assessment: Key Issues shows how the science of learning should underlie the use of such technologies. Through a wide-ranging yet detailed examination, chapter authors provide suggestions for designing and developing games, simulations, and intelligent tutoring systems that are scientifically-based, outcomes-driven, and cost-conscious.
Using ICT in Inquiry-Based Science Education (SpringerBriefs in Education)
by Geraldo W. Rocha Fernandes Carlos Alberto Rosa Ferreira António M. RodriguesThis book analyzes the main Information and Communication Technologies (ICT) used in science education and the main theoretical approaches that support science education mediated by ICT in order to show how digital technologies can be employed in Inquiry-Based Science Education. It presents the results of a comprehensive review of studies focusing both on the use and effects of digital technologies in science education and on the different theoretical approaches that support the use of ICTs in science teaching.By doing so, the book provides a useful summary of the current research in the field and a strong analysis of its limitations. It concludes that there are few studies that report strategies and didactics for the practical use of ICT in science classes and that the use of ICT in science education can’t be seen as an isolated action without a theoretical basis to support it. Based on these conclusions, the volume identifies the main ICTs used in inquiry activities, the main steps in inquiry activities used in science education and their approaches to the use of ICT. It shows that the use of ICT in Inquiry-Based Science Education allows students to develop more active work styles, improved attitudes towards science, better conceptual and theoretical understanding, improved reasoning, better modelling capabilities, and improved teamwork, along with improvements in other abilities. Using ICT in Inquiry-Based Science Education will be a valuable resource for science teachers and science teacher educators looking for an introductory text that presents an overview of the scientific research analyzing the implementation of digital technologies in science teaching and that provides useful insights to all educators interested in using digital technologies to introduce their students in the world of scientific inquiry and research.
Using Information Technology (Tenth Edition)
by Stacey Sawyer Brian WilliamsUSING INFORMATION TECHNOLOGY; A Practical Introduction to Computers & Communications 10/e "If there is anything we have learned during 18 years of writing and revising this computer concepts book, it is this: Not only does the landscape of computer education change rapidly, but so do the students. . . . This edition, then, is written for the Always On generation, helping students use technology to enrich their personal lives. " -Brian K. Williams & Stacey C. Sawyer
Using Learning Technologies: International Perspectives on Practice (Routledge Studies in Distance Education)
by Elizabeth J. Burge Margaret HaugheyThis collection of first-hand accounts from experienced and accomplished learning technology practitioners highlights issues in using learning technologies for flexible, distance and open learning. Drawing on their own experience, the authors identify and explore the most practical and complex issues faced and reflect upon the lessons learned. The definition of learning technologies is broad, encompassing not only the tools (print, audio, video, online applications) but their creative and informed application and social effects. Experiences from eight different countries are presented while the themes addressed include policy development, teaching skills, learner guidance, evaluation and reflective practice.Often, busy practitioners argue that they do not have time for reflection but that they do have time to swap stories with colleagues. Using Learning Technologies promotes such engagement through a broad range of first-hand accounts of facing the challenges entailed in using learning technologies. The stories recounted here speak directly to practitioners, researchers and administrators, provide a model for reflection and offer practical guidelines for comparison with the reader's own experience.
Using LEDs, LCDs and GLCDs in Microcontroller Projects
by Dogan IbrahimDescribing the use of displays in microcontroller based projects, the author makes extensive use of real-world, tested projects. The complete details of each project are given, including the full circuit diagram and source code. The author explains how to program microcontrollers (in C language) with LED, LCD and GLCD displays; and gives a brief theory about the operation, advantages and disadvantages of each type of display. Key features: Covers topics such as: displaying text on LCDs, scrolling text on LCDs, displaying graphics on GLCDs, simple GLCD based games, environmental monitoring using GLCDs (e.g. temperature displays) Uses C programming throughout the book – the basic principles of programming using C language and introductory information about PIC microcontroller architecture will also be provided Includes the highly popular PIC series of microcontrollers using the medium range PIC18 family of microcontrollers in the book. Provides a detailed explanation of Visual GLCD and Visual TFT with examples. Companion website hosting program listings and data sheets Contains the extensive use of visual aids for designing LED, LCD and GLCD displays to help readers to understand the details of programming the displays: screen-shots, tables, illustrations, and figures, as well as end of chapter exercises Using LEDs, LCDS, and GLCDs in Microcontroller Projects is an application oriented book providing a number of design projects making it practical and accessible for electrical & electronic engineering and computer engineering senior undergraduates and postgraduates. Practising engineers designing microcontroller based devices with LED, LCD or GLCD displays will also find the book of great use.
Using LEDs, LCDs and GLCDs in Microcontroller Projects
by Dogan IbrahimDescribing the use of displays in microcontroller based projects, the author makes extensive use of real-world, tested projects. The complete details of each project are given, including the full circuit diagram and source code. The author explains how to program microcontrollers (in C language) with LED, LCD and GLCD displays; and gives a brief theory about the operation, advantages and disadvantages of each type of display. Key features:Covers topics such as: displaying text on LCDs, scrolling text on LCDs, displaying graphics on GLCDs, simple GLCD based games, environmental monitoring using GLCDs (e.g. temperature displays)Uses C programming throughout the book - the basic principles of programming using C language and introductory information about PIC microcontroller architecture will also be providedIncludes the highly popular PIC series of microcontrollers using the medium range PIC18 family of microcontrollers in the book.Provides a detailed explanation of Visual GLCD and Visual TFT with examples.Companion website hosting program listings and data sheetsContains the extensive use of visual aids for designing LED, LCD and GLCD displays to help readers to understand the details of programming the displays: screen-shots, tables, illustrations, and figures, as well as end of chapter exercisesUsing LEDs, LCDS, and GLCDs in Microcontroller Projects is an application oriented book providing a number of design projects making it practical and accessible for electrical & electronic engineering and computer engineering senior undergraduates and postgraduates. Practising engineers designing microcontroller based devices with LED, LCD or GLCD displays will also find the book of great use.
Using Machine Intelligence: Autonomous Vehicles Volume 1
by Romil Rawat A. Mary Sowjanya Syed Imran Patel Varshali Jaiswal Imran Khan Allam BalaramAUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.
Using MATLAB to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and Process Engineers” (essentials)
by Yuri A.W. ShardtThis companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Matlab to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, line-by-line MATLAB code for solving the specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired.
Using Mobile Technologies in the Teaching and Learning of Mathematics (Mathematics Education in the Digital Era #12)
by Nigel Calder Kevin Larkin Nathalie SinclairMobile technologies influence the way that we interact with the world, the way that we live. We use them for communication, entertainment, information and research. In education settings, there has been substantial investment in mobile devices, often without a concomitant investment in developing pedagogy and practices. With mobile technologies evolving rapidly, and the number of educational apps growing, there is a need for research into how they facilitate mathematics learning. Such research is of particular importance regarding how such devices may be used to open up new ways of envisaging mathematics and mathematics education, and to help develop conceptual rather than procedural or declarative knowledge. This volume draws upon international research and reports on a range of research projects that have incorporated mobile technologies for mathematics education. It presents research on the use of mobile technologies, such as iPads, iPods, iPhones, Androids, and Tablets, across a diverse range of cultures, year levels and contexts. It examines the ways in which mobile technologies, including apps, might influence students’ engagement, cognition, collaboration and attitudes, through the reshaping of the learning experience. In addition, the book presents appropriate ways to integrate mobile technologies into teaching and learning programmes. It is a significant reference book for those involved with teaching mathematics or using mobile technologies in education, while also offering insights and examples that are applicable to the use of digital technologies in education generally.
Using New Technologies to Enhance Teaching and Learning in History
by Terry HaydnNearly all history teachers are interested in how new technology might be used to improve teaching and learning in history. However, not all history departments have had the time, expertise and guidance which would enable them to fully explore the wide range of ways in which ICT might help them to teach their subject more effectively. This much-needed collection offers practical guidance and examples of the ways in which new technology can enhance pupil engagement in the subject, impact on knowledge retention, get pupils learning outside the history classroom, and help them to work collaboratively using a range of Web 2.0 applications. The chapters, written by experienced practitioners and experts in the field of history education and ICT, explore topics such as: how to design web interactivities for your pupils what can you accomplish with a wiki how to get going in digital video editing what to do with the VLE? making best use of the interactive whiteboard designing effective pupil webquests digital storytelling in history making full use of major history websites using social media. Using New Technologies to Enhance Teaching and Learning in History is essential reading for all trainee, newly qualified and experienced teachers of history. It addresses many of the problems, barriers and dangers which new technology can pose, but it also clearly explains and exemplifies the wide range of ways in which ICT can be used to radically improve the quality of pupils’ experience of learning history.
Using Paired Constraints to Solve The Innovation Problem
by Patricia D. Stokes Michael GibbertThis book defines innovation as both a problem and a problem-solving process. It allows readers to approach innovation as a straight-forward problem solving process, and teaches them the paired constraint process to solve specific innovation problems. The authors have used their experience working in creative industries, combined with their academic perspective to create a formal, teachable tool for solving innovation problems. This consists of a formal structure (the problem space), a functional strategy(the paired constraints) and process. (solution by substitution). This book provides a practice section, allowing anyone interested in solving the problem of innovation to learn and develop their skills.
Using R for Biostatistics
by Thomas W. MacFarland Jan M. YatesThis book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation. In the years since the authors’ 2014 work Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, the R user community has grown exponentially and the R language has increased in maturity and functionality. This updated volume expands upon skill-sets useful for students and practitioners in the biological sciences by describing how to work with data in an efficient manner, how to engage in meaningful statistical analyses from multiple perspectives, and how to generate high-quality graphics for professional publication of their research. A common theme for research in the diverse biological sciences is that decision-making depends on the empirical use of data. Beginning with a focus on data from a parametric perspective, the authors address topics such as Student t-Tests for independent samples and matched pairs; oneway and twoway analyses of variance; and correlation and linear regression. The authors also demonstrate the importance of a nonparametric perspective for quality assurance through chapters on the Mann-Whitney U Test, Wilcoxon Matched-Pairs Signed-Ranks test, Kruskal-Wallis H-Test for Oneway Analysis of Variance, and the Friedman Twoway Analysis of Variance. To address the element of data presentation, the book also provides an extensive review of the many graphical functions available with R. There are now perhaps more than 15,000 external packages available to the R community. The authors place special emphasis on graphics using the lattice package and the ggplot2 package, as well as less common, but equally useful, figures such as bean plots, strip charts, and violin plots. A robust package of supplementary material, as well as an introduction of the development of both R and the discipline of biostatistics, makes this ideal for novice learners as well as more experienced practitioners.
Using R for Digital Soil Mapping
by Brendan P. Malone Budiman Minasny Alex B. McbratneyThis book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also introduces the basic concepts and practices for building spatial soil prediction functions, and then ultimately producing digital soil maps.
Using R for Modelling and Quantitative Methods in Fisheries (Chapman & Hall/CRC The R Series)
by Malcolm HaddonUsing R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students. Featured Chapters: Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods. On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail. Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice.