Download or read book Homeschooling Methods written by Paul Suarez and published by B&H Publishing Group. This book was released on 2006 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Elaborates on today's most viable at-home teaching models."--Page 4 of cover.

Download or read book Adult Learning Methods written by Michael W. Galbraith and published by . This book was released on 2004 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of ?Adult Learning Methods?, with revisions, updates, and six new chapters, provides the educator of adults with ways to understand and facilitate adult learning. It is a clearly written guide to understanding the complex aspects associated with techniques and methods of the teaching and learning encounter.

Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

Download or read book Understanding Learning Styles written by Kelli Allen and published by Shell Education. This book was released on 2010 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students have different learning styles! Understanding Learning Styles helps teachers determine the learning style of each student and the appropriate delivery methods to target and address the needs of as many of the intelligences as possible. Different learning-styles are presented in this professional book that helps teachers determine how best to teach their students. Surveys, practical ideas, and suggestions for designing lessons that incorporate multiple learning styles are provided to show teachers how to differentiate instruction. This resource is aligned to the interdisciplinary themes from the Partnership for 21st Century Skills. 208pp.

Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Download or read book Affective Interactive and Cognitive Methods for E Learning Design Creating an Optimal Education Experience written by Tzanavari, Aimilia and published by IGI Global. This book was released on 2010-01-31 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the study and application of human computer interaction principles in the design of online education"--Provided by publisher.

Download or read book Ensemble Methods for Machine Learning written by Gautam Kunapuli and published by Simon and Schuster. This book was released on 2023-05-30 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ensemble machine learning combines the power of multiple machine learning approaches, working together to deliver models that are highly performant and highly accurate. Inside Ensemble Methods for Machine Learning you will find: Methods for classification, regression, and recommendations Sophisticated off-the-shelf ensemble implementations Random forests, boosting, and gradient boosting Feature engineering and ensemble diversity Interpretability and explainability for ensemble methods Ensemble machine learning trains a diverse group of machine learning models to work together, aggregating their output to deliver richer results than a single model. Now in Ensemble Methods for Machine Learning you’ll discover core ensemble methods that have proven records in both data science competitions and real-world applications. Hands-on case studies show you how each algorithm works in production. By the time you're done, you'll know the benefits, limitations, and practical methods of applying ensemble machine learning to real-world data, and be ready to build more explainable ML systems. About the Technology Automatically compare, contrast, and blend the output from multiple models to squeeze the best results from your data. Ensemble machine learning applies a “wisdom of crowds” method that dodges the inaccuracies and limitations of a single model. By basing responses on multiple perspectives, this innovative approach can deliver robust predictions even without massive datasets. About the Book Ensemble Methods for Machine Learning teaches you practical techniques for applying multiple ML approaches simultaneously. Each chapter contains a unique case study that demonstrates a fully functional ensemble method, with examples including medical diagnosis, sentiment analysis, handwriting classification, and more. There’s no complex math or theory—you’ll learn in a visuals-first manner, with ample code for easy experimentation! What’s Inside Bagging, boosting, and gradient boosting Methods for classification, regression, and retrieval Interpretability and explainability for ensemble methods Feature engineering and ensemble diversity About the Reader For Python programmers with machine learning experience. About the Author Gautam Kunapuli has over 15 years of experience in academia and the machine learning industry. Table of Contents PART 1 - THE BASICS OF ENSEMBLES 1 Ensemble methods: Hype or hallelujah? PART 2 - ESSENTIAL ENSEMBLE METHODS 2 Homogeneous parallel ensembles: Bagging and random forests 3 Heterogeneous parallel ensembles: Combining strong learners 4 Sequential ensembles: Adaptive boosting 5 Sequential ensembles: Gradient boosting 6 Sequential ensembles: Newton boosting PART 3 - ENSEMBLES IN THE WILD: ADAPTING ENSEMBLE METHODS TO YOUR DATA 7 Learning with continuous and count labels 8 Learning with categorical features 9 Explaining your ensembles

Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. - Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. - Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. - Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.

Download or read book Evidence Based Educational Methods written by Daniel J. Moran and published by Academic Press. This book was released on 2004-05 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence-Based Educational Methods answers the challenge of the "No Child Left Behind Act" of 2001 by promoting evidence-based educational methods designed to improve student learning. Behavioral scientists have been refining these instructional methods for decades before the current call for evidence-based education. Precision Teaching, Direct Instruction, Computerized Teaching, Personalized System of Instruction, and other unique applications of behavior analysis are all informed by the scientific principles of learning, have been tested in the laboratory, and are often shown to have significant success in field applications. This book details each of these approaches to education based on the principles of behavior analysis. Individuals and agencies responsible for instruction that leaves no child behind will find this compendium an important resource for meeting that challenge, and young educators will greatly benefit from this text, as they will see a blueprint of the evidence-based education systems being planned for the future. * The education literature is replete with fly-by-night ideas and unresearched opinions about how to teach children. This book has none of that. The reader is given researched educational methods. In fact, some methods draw on 3 or 4 decades of experimental data. The whole book is cohesive, not just a patchwork of different educators' opinions. All of the chapters are built on basic scientific principles of behavior, and all of the methods can be used with one another * This is a book by scientist-practitioners, but not for scientists only. A parent can read many of these chapters, see the merit in the methods, and convey the need and the process for each of the methods * No book stands alone, but is connected to a greater literature base. The reader is shown where other information can be found about these methods. * The only thing better than scientific data is scientific data supported by consumer testimonial

Download or read book Machine Learning Methods for Stylometry written by Jacques Savoy and published by Springer Nature. This book was released on 2020-09-28 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents methods and approaches used to identify the true author of a doubtful document or text excerpt. It provides a broad introduction to all text categorization problems (like authorship attribution, psychological traits of the author, detecting fake news, etc.) grounded in stylistic features. Specifically, machine learning models as valuable tools for verifying hypotheses or revealing significant patterns hidden in datasets are presented in detail. Stylometry is a multi-disciplinary field combining linguistics with both statistics and computer science. The content is divided into three parts. The first, which consists of the first three chapters, offers a general introduction to stylometry, its potential applications and limitations. Further, it introduces the ongoing example used to illustrate the concepts discussed throughout the remainder of the book. The four chapters of the second part are more devoted to computer science with a focus on machine learning models. Their main aim is to explain machine learning models for solving stylometric problems. Several general strategies used to identify, extract, select, and represent stylistic markers are explained. As deep learning represents an active field of research, information on neural network models and word embeddings applied to stylometry is provided, as well as a general introduction to the deep learning approach to solving stylometric questions. In turn, the third part illustrates the application of the previously discussed approaches in real cases: an authorship attribution problem, seeking to discover the secret hand behind the nom de plume Elena Ferrante, an Italian writer known worldwide for her My Brilliant Friend’s saga; author profiling in order to identify whether a set of tweets were generated by a bot or a human being and in this second case, whether it is a man or a woman; and an exploration of stylistic variations over time using US political speeches covering a period of ca. 230 years. A solutions-based approach is adopted throughout the book, and explanations are supported by examples written in R. To complement the main content and discussions on stylometric models and techniques, examples and datasets are freely available at the author’s Github website.

Download or read book Evidence based Training Methods written by Ruth Colvin Clark and published by ASTD. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learn the evidence behind both new and tried-and-true best practices for training. Ruth Clark connects research to practice and offers concrete training guidance in this second edition of Evidence-Based Training Methods. With this book as your guide, you can incorporate evidence and learning psychology into your program design, development, and delivery decisions."--Back cover.

Download or read book Collaboration in Designing a Pedagogical Approach in Information Literacy written by Ane Landøy and published by Springer Nature. This book was released on 2019-11-22 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This Open Access book combines expertise in information literacy with expertise in education and teaching to share tips and tricks for the development of good information literacy teaching and training in universities and libraries. It draws on research, knowledge and pedagogical practice from academia, to teach students how to sift through information to be able to distinguish the important and correct from the unusable. It discusses basic concepts and models of information literacy, as well as strategies for accessing, locating and retrieving information and methods suitable for the assessment and management of information. The book explains many concepts connected to information literacy and discusses pedagogical issues with a view to supporting the practitioner. Each chapter examines one aspect of information literacy, discusses the pedagogical challenges involved and provides suggestions for best practice.

Download or read book Active Learning Techniques for Librarians written by Andrew Walsh and published by Elsevier. This book was released on 2010-09-01 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical work outlining the theory and practice of using active learning techniques in library settings. It explains the theory of active learning and argues for its importance in our teaching and is illustrated using a large number of examples of techniques that can be easily transferred and used in teaching library and information skills to a range of learners within all library sectors. These practical examples recognise that for most of us involved in teaching library and information skills the one off session is the norm, so we need techniques that allow us to quickly grab and hold our learners' attention. The examples are equally useful to those new to teaching, who wish to bring active learning into their sessions for the first time, as to those more experienced who want to refresh their teaching with some new ideas and to carry on their development as librarian teachers. - Outlines the argument for more active learning techniques in our sessions - Explains the theory of active learning - Includes examples that can be used in teaching

Download or read book Teaching and Learning STEM written by Richard M. Felder and published by John Wiley & Sons. This book was released on 2024-03-19 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widely used STEM education book, updated Teaching and Learning STEM: A Practical Guide covers teaching and learning issues unique to teaching in the science, technology, engineering, and math (STEM) disciplines. Secondary and postsecondary instructors in STEM areas need to master specific skills, such as teaching problem-solving, which are not regularly addressed in other teaching and learning books. This book fills the gap, addressing, topics like learning objectives, course design, choosing a text, effective instruction, active learning, teaching with technology, and assessment—all from a STEM perspective. You’ll also gain the knowledge to implement learner-centered instruction, which has been shown to improve learning outcomes across disciplines. For this edition, chapters have been updated to reflect recent cognitive science and empirical educational research findings that inform STEM pedagogy. You’ll also find a new section on actively engaging students in synchronous and asynchronous online courses, and content has been substantially revised to reflect recent developments in instructional technology and online course development and delivery. Plan and deliver lessons that actively engage students—in person or online Assess students’ progress and help ensure retention of all concepts learned Help students develop skills in problem-solving, self-directed learning, critical thinking, teamwork, and communication Meet the learning needs of STEM students with diverse backgrounds and identities The strategies presented in Teaching and Learning STEM don’t require revolutionary time-intensive changes in your teaching, but rather a gradual integration of traditional and new methods. The result will be a marked improvement in your teaching and your students’ learning.

Download or read book Applying Priming Methods to L2 Learning Teaching and Research written by Pavel Trofimovich and published by John Benjamins Publishing. This book was released on 2011 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume features a collection of empirical studies which use priming methods to explore the comprehension, production, and acquisition of second language (L2) phonology, syntax, and lexicon. The term "priming" refers to the phenomenon in which prior exposure to specific language forms or meanings influences a speaker s subsequent language comprehension or production. This book brings together the various strands of priming research into a single volume that specifically addresses the interests of researchers, teachers, and students interested in L2 teaching and learning. Chapters by internationally known scholars feature a variety of priming techniques, describe various psycholinguistic tasks, and focus on different domains of language knowledge and skills. The book is conceptualized with a wide audience in mind, including researchers not familiar with priming methods and their application to L2 research, graduate students in second language acquisition and related disciplines, and instructors who require readings for use in their courses."

Download or read book Learning Styles Classroom Instruction and Student Achievement written by Daniel H. Robinson and published by Springer Nature. This book was released on 2022-01-29 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book examines the history of learning styles, including their widespread acceptance and endorsement in educational settings. In addition, it explores both the support of and opposition to learning styles by academics. The book discusses cases for and against learning styles and offers a systematic review of empirical evidence. It describes consequences of promoting learning styles in the classroom and offers insights into future directions in research and practice.The book offers a critical examination that adds to the broader discussion of what is truthful and what is fake news in education. Key areas of coverage include: History of learning styles. Widespread belief in and uses of learning styles. Review of recent learning styles coverage in academic journals. The case for learning styles. The case against learning styles. Consequences associated with using learning styles. Learning Styles, Classroom Instruction, and Student Achievement is an essential resource for researchers, professors, and graduate students as well as teachers and educational professionals in such varied fields as clinical child and school psychology, educational psychology, social work, public health, teaching and teacher education, and educational practice and policy.

Download or read book Learning to Read Critically in Teaching and Learning written by Louise Poulson and published by SAGE. This book was released on 2004 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines a teaching text with exemplary reports of research and a literature review by international scholars.