Download or read book Understanding Applied Learning written by Tanya Ovenden-Hope and published by Routledge. This book was released on 2017-07-28 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Applied Learning enables teachers, lecturers and educators to facilitate applied learning effectively with learners in schools, colleges and universities. It introduces teachers to the concept of applied learning in practice, cutting across any vocational and academic divide to show how this approach supports high-quality and effective outcomes for learners. Applied learning prepares and equips learners for life in the twenty-first century and lifelong learning. Offering practical guidance on why and how to adopt applied learning in all post-primary settings, this practical resource introduces and explores the core concepts, practices and benefits of using this approach. Illustrated with real-life scenarios, it examines why applied learning is relevant today, how it enables learners to connect knowledge with new situations, how to navigate and solve intellectual and skills-based problems and how to work collaboratively and develop higher-level thinking skills. Key topics covered include: A range of applied learning theories and strategies Relevant, Engaging, Active Learning (REAL) for successful knowledge and skills development The relevance of applied learning to employers Overcoming issues in embedding applied learning approaches How to embed creativity into learning experiences. Understanding Applied Learning is an authoritative, down-to-earth guide to facilitate applied learning effectively and successfully with students in secondary schools, colleges and universities. It is a source of support and inspiration for all those committed to high-quality and effective outcomes for learners.
Download or read book Getting Smart written by Tom Vander Ark and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive look at the promise and potential of online learning In our digital age, students have dramatically new learning needs and must be prepared for the idea economy of the future. In Getting Smart, well-known global education expert Tom Vander Ark examines the facets of educational innovation in the United States and abroad. Vander Ark makes a convincing case for a blend of online and onsite learning, shares inspiring stories of schools and programs that effectively offer "personal digital learning" opportunities, and discusses what we need to do to remake our schools into "smart schools." Examines the innovation-driven world, discusses how to combine online and onsite learning, and reviews "smart tools" for learning Investigates the lives of learning professionals, outlines the new employment bargain, examines online universities and "smart schools" Makes the case for smart capital, advocates for policies that create better learning, studies smart cultures
Download or read book Handbook of Research on Applied Learning Theory and Design in Modern Education written by Railean, Elena and published by IGI Global. This book was released on 2015-11-09 with total page 1049 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of education is in constant flux as new theories and practices emerge to engage students and improve the learning experience. Research advances help to make these improvements happen and are essential to the continued improvement of education. The Handbook of Research on Applied Learning Theory and Design in Modern Education provides international perspectives from education professors and researchers, cyberneticists, psychologists, and instructional designers on the processes and mechanisms of the global learning environment. Highlighting a compendium of trends, strategies, methodologies, technologies, and models of applied learning theory and design, this publication is well-suited to meet the research and practical needs of academics, researchers, teachers, and graduate students as well as curriculum and instructional design professionals.
Download or read book Swissness Applied written by Loui MCINTOSH and published by . This book was released on 2021-10-11 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique and fascinating transcultural study on the role of imagery and appropriation in architecture and urban planning. Founded by Swiss settlers in 1845, New Glarus in Wisconsin evolved from being a dairy farming and cheese production village to a popular tourist destination. Following a grave economic downturn in the 1960s and 1970s, the community discovered embracing the image of its cultural heritage, particularly traditional architectural details, as a way of survival. Consequently, they began to change their commercial building façades to appear even more Swiss. Since 1999, the town has even regulated the production of new buildings via its building codes to preserve this particular aesthetic evoking the familiar traditional Swiss chalet style. Swissness Applied investigates the transformation of European immigrant towns in the United States, exemplified by New Glarus. It features the results of extensive fieldwork on buildings in the village as well as design projections based on the local building code and evaluates the outcomes through different representation techniques. Expert authors including Courntey Coffman, Kurt Forster, Whitney Moon, Philip Ursprung, and Jesús Vassallo contribute essays that pick up on aspects such as the role of cultural imagery and immigration history in architecture, and on Swissness as a cultural concept in particular.
Download or read book Applied Pedagogies for Higher Education written by Dawn A. Morley and published by Springer Nature. This book was released on 2020-11-05 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book critiques real world learning across both the curriculum and extracurricular activities. Drawing on disciplines as diverse as business, health, fashion, sociology and geography, the editors and authors employ a cross-disciplinary approach to examine how this concept is being applied in higher education. Divided into three parts, the authors and contributors analyse broader applications of real world learning, student experience of practicing in a real world setting, and how learning strategies can be employed to engage students in real world learning. The editors and contributors provide up-to-date, cross-disciplinary and international insights into how real world learning could be integrated into the higher education curriculum to support effective, relevant and life-long learning for 21st century students.
Download or read book Applied E learning and E teaching in Higher Education written by and published by . This book was released on 2009 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents international practices in the development and use of applied e-Learning and e-Teaching in the classroom in order to enhance student experience, add value to teaching practices, and illuminate best practices in the area of e-Assessment. This book provides insight into e-Learning and e-Teaching practices while exploring the roles of academic staff in adoption and application"--Provided by publisher.
Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Download or read book Applied Machine Learning written by David Forsyth and published by Springer. This book was released on 2019-07-12 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code. A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use). Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:• classification using standard machinery (naive bayes; nearest neighbor; SVM)• clustering and vector quantization (largely as in PSCS)• PCA (largely as in PSCS)• variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)• linear regression (largely as in PSCS)• generalized linear models including logistic regression• model selection with Lasso, elasticnet• robustness and m-estimators• Markov chains and HMM’s (largely as in PSCS)• EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy• simple graphical models (in the variational inference section)• classification with neural networks, with a particular emphasis onimage classification• autoencoding with neural networks• structure learning
Download or read book Applied Deep Learning written by Umberto Michelucci and published by Apress. This book was released on 2018-09-07 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function. The next section talks about more complicated neural network architectures with several layers and neurons and explores the problem of random initialization of weights. An entire chapter is dedicated to a complete overview of neural network error analysis, giving examples of solving problems originating from variance, bias, overfitting, and datasets coming from different distributions. Applied Deep Learning also discusses how to implement logistic regression completely from scratch without using any Python library except NumPy, to let you appreciate how libraries such as TensorFlow allow quick and efficient experiments. Case studies for each method are included to put into practice all theoretical information. You’ll discover tips and tricks for writing optimized Python code (for example vectorizing loops with NumPy). What You Will Learn Implement advanced techniques in the right way in Python and TensorFlow Debug and optimize advanced methods (such as dropout and regularization) Carry out error analysis (to realize if one has a bias problem, a variance problem, a data offset problem, and so on) Set up a machine learning project focused on deep learning on a complex dataset Who This Book Is For Readers with a medium understanding of machine learning, linear algebra, calculus, and basic Python programming.
Download or read book Kinn s The Clinical Medical Assistant written by Deborah B. Proctor and published by Elsevier Health Sciences. This book was released on 2016-05-10 with total page 970 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Medical Assisting begins with Kinn! Elsevier’s Kinn’s The Clinical Medical Assistant, 13th Edition provides you with the real-world clinical skills that are essential to working in the modern medical office. An applied learning approach to the MA curriculum is threaded throughout each chapter to help you further develop the tactile and critical thinking skills necessary to assist with medications, diagnostic procedures, and surgeries. Paired with our adaptive solutions, real-world simulations, EHR documentation and HESI remediation and assessment, you will learn the leading skills of modern clinical medical assisting in the classroom! Applied approach to learning helps you use what you’ve learned in the clinical setting. Clinical procedures integrated into the TOC provide you with a quick reference. Detailed learning objectives and vocabulary with definitions highlight what’s important in each chapter. Step-by-step procedures explain complex conditions and abstract concepts. Rationales for each procedure clarify the need for each step and explains why it’s being performed. Critical thinking applications test your understanding of the content. Patient education and legal and ethical issues are described in relation to the clinical Medical Assistant's job. Threaded case scenarios help you apply concepts to realistic clinical situations. Portfolio builder helps you demonstrate clinical proficiency to potential employers. NEW! Chapter on The Health Record reviews how you will maintain and interact with the medical record. NEW! Chapter on Competency-Based Education helps you confidently prepare for today’s competitive job market. NEW! Clinical procedure videos help you to visualize and review key procedures.
Download or read book Applied Critical Leadership in Education written by Lorri J. Santamaría and published by Routledge. This book was released on 2013-06-17 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores an exciting new critical leadership model arising from critical theory and critical pedagogy traditions, and provides examples of applied critical leadership, ultimately expanding ways to think about current leadership models.
Download or read book Applied Machine Learning written by M. Gopal and published by McGraw-Hill Education. This book was released on 2019-06-05 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Cutting-edge machine learning principles, practices, and applications This comprehensive textbook explores the theoretical under¬pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed. Coverage includes: •Supervised learning•Statistical learning•Learning with support vector machines (SVM)•Learning with neural networks (NN)•Fuzzy inference systems•Data clustering•Data transformations•Decision tree learning•Business intelligence•Data mining•And much more
Download or read book Applied Pedagogies written by Daniel Ruefman and published by University Press of Colorado. This book was released on 2016-04-15 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaching any subject in a digital venue must be more than simply an upload of the face-to-face classroom and requires more flexibility than the typical learning management system affords. Applied Pedagogies examines the pedagogical practices employed by successful writing instructors in digital classrooms at a variety of institutions and provides research-grounded approaches to online writing instruction. This is a practical text, providing ways to employ the best instructional strategies possible for today’s diverse and dynamic digital writing courses. Organized into three sections—Course Conceptualization and Support, Fostering Student Engagement, and MOOCs—chapters explore principles of rhetorically savvy writing crossed with examples of effective digital teaching contexts and genres of digital text. Contributors consider not only pedagogy but also the demographics of online students and the special constraints of the online environments for common writing assignments. The scope of online learning and its place within higher education is continually evolving. Applied Pedagogies offers tools for the online writing classrooms of today and anticipates the needs of students in digital contexts yet to come. This book is a valuable resource for established and emerging writing instructors as they continue to transition to the digital learning environment. Contributors: Kristine L. Blair, Jessie C. Borgman, Mary-Lynn Chambers, Katherine Ericsson, Chris Friend, Tamara Girardi, Heidi Skurat Harris, Kimberley M. Holloway, Angela Laflen, Leni Marshall, Sean Michael Morris, Danielle Nielsen, Dani Nier-Weber, Daniel Ruefman, Abigail G. Scheg, Jesse Stommel
Download or read book Leaders of Their Own Learning written by Ron Berger and published by John Wiley & Sons. This book was released on 2014-01-07 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: From EL Education comes a proven approach to student assessment Leaders of Their Own Learning offers a new way of thinking about assessment based on the celebrated work of EL Education schools across the country. Student-Engaged Assessment is not a single practice but an approach to teaching and learning that equips and compels students to understand goals for their learning and growth, track their progress toward those goals, and take responsibility for reaching them. This requires a set of interrelated strategies and structures and a whole-school culture in which students are given the respect and responsibility to be meaningfully engaged in their own learning. Includes everything teachers and school leaders need to implement a successful Student-Engaged Assessment system in their schools Outlines the practices that will engage students in making academic progress, improve achievement, and involve families and communities in the life of the school Describes each of the book's eight key practices, gives advice on how to begin, and explains what teachers and school leaders need to put into practice in their own classrooms Ron Berger is Chief Program Officer for EL Education and a former public school teacher Leaders of Their Own Learning shows educators how to ignite the capacity of students to take responsibility for their own learning, meet Common Core and state standards, and reach higher levels of achievement. DVD and other supplementary materials are not included as part of the e-book file, but are available for download after purchase.
Download or read book Applied Motor Learning in Physical Education and Sports written by Jin Wang and published by . This book was released on 2014-12-01 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of the study of the scientific principles of learning human motor skills is evident in that motor learning is a required core course as set forth by the NASPE standards. Applied Motor Learning in Physical Education and Sports goes further than simply providing valuable scientific theories. Authors Jin Wang and Shihui Chen transform those theories into practice in an understandable approach by incorporating case studies and practitioners' implications, making this a comprehensive authority on the topic of motor learning. Written for undergraduate students, PE teachers, coaches, athletes and practitioners, each chapter includes: an introduction to the imperative theoretical models of motor learning, case studies and life examples that illustrate theoretical concepts that can be effectively applied to practical teaching, coaching, or motor learning settings, project topics that integrate theory with practice, clear illustrations, diagrams, and key components of concepts depicting the main ideas.
Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Download or read book Applied Reinforcement Learning with Python written by Taweh Beysolow II and published by Apress. This book was released on 2019-08-23 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions. What You'll Learn Implement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning–based solutions via cloud resourcesApply practical applications of reinforcement learning Who This Book Is For Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.
