Download or read book The Model of Domain Learning written by Helenrose Fives and published by Routledge. This book was released on 2017-12-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Model of Domain Learning is the first edited volume to provide a comprehensive overview of the Model of Domain Learning (MDL). Unique in its emphasis on development, this model examines both the cognitive and motivational forces behind expertise in academic domains. Chapters written by a variety of scholars, including those responsible for the model’s evolution, are tied together by commentaries that synthesize these varied perspectives. With dedicated sections focused on the foundations, current applications, and future potential of the MDL, this book is indispensable as an introduction to the theory and research associated with this topic and as a cutting-edge resource for established scholars.
Download or read book Learning Domain Driven Design written by Vlad Khononov and published by "O'Reilly Media, Inc.". This book was released on 2021-10-08 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building software is harder than ever. As a developer, you not only have to chase ever-changing technological trends but also need to understand the business domains behind the software. This practical book provides you with a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs. Author Vlad Khononov shows you how these practices lead to robust implementation of business logic and help to future-proof software design and architecture. You'll examine the relationship between domain-driven design (DDD) and other methodologies to ensure you make architectural decisions that meet business requirements. You'll also explore the real-life story of implementing DDD in a startup company. With this book, you'll learn how to: Analyze a company's business domain to learn how the system you're building fits its competitive strategy Use DDD's strategic and tactical tools to architect effective software solutions that address business needs Build a shared understanding of the business domains you encounter Decompose a system into bounded contexts Coordinate the work of multiple teams Gradually introduce DDD to brownfield projects
Download or read book Motivation Emotion and Cognition written by David Yun Dai and published by Routledge. This book was released on 2004-07-13 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: The central argument of this book is that cognition is not the whole story in understanding intellectual functioning and development. To account for inter-individual, intra-individual, and developmental variability in actual intellectual performance, it is necessary to treat cognition, emotion, and motivation as inextricably related. Motivation, Emotion, and Cognition: Integrative Perspectives on Intellectual Functioning and Development: *represents a new direction in theory and research on intellectual functioning and development; *portrays human intelligence as fundamentally constrained by biology and adaptive needs but modulated by social and cultural forces; and *encompasses and integrates a broad range of scientific findings and advances, from cognitive and affective neurosciences to cultural psychology, addressing fundamental issues of individual differences, developmental variability, and cross-cultural differences with respect to intellectual functioning and development. By presenting current knowledge regarding integrated understanding of intellectual functioning and development, this volume promotes exchanges among researchers concerned with provoking new ideas for research and provides educators and other practitioners with a framework that will enrich understanding and guide practice.
Download or read book FIRST Framework 5 Domains 15 Principles Design Facilitate Active Deep Learner eXperience Volume 1 1st Edition written by Mohamed M. Bahgat and published by Mohamed M. Bahgat. This book was released on 2018-02-08 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: No doubt learning is a subject that has been addressed by many books and workshops, with the core interest mostly revolving around the content and how to make it unique, relevant, concise, etc. Other books and courses would rather introduce new/creative techniques for better engaging or getting the best of the training. So where does this book stand? This book stands in the learner's shoes! It is standing as a cornerstone for a different approach, having an eye for every detail that might reflect on the learner's experience; hence the name, "Learner eXperience Facilitation". Who is this book for? This book is for learning facilitators and designers, so to get introduced to a new perspective and to learn new framework where the learner is the center of the whole process. This is considered a sound tool for professionals who work hard to leave an impact through trainings and face to face learning sessions. It targets both independent professionals and those working for specific organizations, teachers and education professionals. This book introduces FIRST framework, research based framework, which is holistic and backed by theories from different basic sciences like, educational psychology, neuroscience, cognitive psychology, design thinking; among others. These disciplines are combined together so to create an engaging framework; leading to creating positive Active Deep learner experience, and hence, positive change in mindset and behaviors. If you are a learning facilitator and you feel the need of a creative and innovative framework to highly influence trainees, then this book is for you; through which you add the active deep learning techniques to your facilitation style. FIRST framework This book introduces FIRST framework, which includes five main domains, and 15 principles. These principles act together and integrate together; creating the Active Deep Learner eXperience. FIRST framework is a holistic one; it is based on other models and theories, such as: experiential learning by Kolb and John Dewey; cooperative learning by Kagan; Carl Rogers’ facilitation skills, Roy’s 6Ds and learning transfer; as well as positive psychology principles. FIRST is also inspired by the spirit of group coaching, which aims at promoting deep change and is focused on the future. It is a scientific and research based framework, developed through our experience in learning and development field; as well as measuring the impact of implementing the model via SeGa or our learners. FIRST framework is not only aiming to create active learning experience, it also targets transforming learning into performance, because incorporating both active and deep strategies creates engagement and impact. The five domains of FIRST act as layers each of them build on the previous domain and add to it, all the principles integrate with each other to form the active deep learner experience. "The end result is a proven, practical, and priceless model with five domains and fifteen principles that you can use yourself in staging active deep learning experiences." B. Joseph Pine II. Author, The Experience Economy. "FIRST framework provides important insights, principles, and practical advice for doing so a travel guide, if you will, that will help you on your own learning journey and those on which you lead others." Roy V.H. Pollock, DVM, PhD. Author, The Six Disciplines of Breakthrough Learning
Download or read book Taxonomy of Educational Objectives written by Benjamin Samuel Bloom and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book How Learning Works written by Susan A. Ambrose and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning
Download or read book Testing a Model of Domain Learning in Music Therapy written by Dianne Langan and published by . This book was released on 2003 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Domain driven Design written by Eric Evans and published by Addison-Wesley Professional. This book was released on 2004 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Domain-Driven Design" incorporates numerous examples in Java-case studies taken from actual projects that illustrate the application of domain-driven design to real-world software development.
Download or read book Domain Specific Conceptual Modeling written by Dimitris Karagiannis and published by Springer. This book was released on 2016-07-09 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book draws new attention to domain-specific conceptual modeling by presenting the work of thought leaders who have designed and deployed specific modeling methods. It provides hands-on guidance on how to build models in a particular domain, such as requirements engineering, business process modeling or enterprise architecture. In addition to these results, it also puts forward ideas for future developments. All this is enriched with exercises, case studies, detailed references and further related information. All domain-specific methods described in this volume also have a tool implementation within the OMiLAB Collaborative Environment – a dedicated research and experimentation space for modeling method engineering at the University of Vienna, Austria – making these advances accessible to a wider community of further developers and users. The collection of works presented here will benefit experts and practitioners from academia and industry alike, including members of the conceptual modeling community as well as lecturers and students.
Download or read book Model Based Approaches to Learning written by and published by BRILL. This book was released on 2019-02-11 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model-Based Approaches to Learning provides a new perspective called learning by system modeling. This book explores the learning impact of students when constructing models of complex systems.
Download or read book Assessing Information Processing and Online Reasoning as a Prerequisite for Learning in Higher Education written by Olga Zlatkin-Troitschanskaia and published by Frontiers Media SA. This book was released on 2022-10-06 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Self Regulation of Learning and Performance written by Dale H. Schunk and published by Routledge. This book was released on 2011-05-15 with total page 1003 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-regulated learning (or self-regulation) refers to the process whereby learners personally activate and sustain cognitions, affects, and behaviours that are systematically oriented toward the attainment of learning goals. This is the first volume to integrate into a single volume all aspects of the field of self-regulation of learning and performance: basic domains, applications to content areas, instructional issues, methodological issues, and individual differences. It draws on research from such diverse areas as cognitive, educational, clinical, social, and organizational psychology. Distinguishing features include: Chapter Structure – To ensure uniformity and coherence across chapters, each chapter author addresses the theoretical ideas underlying their topic, research evidence bearing on these ideas, future research directions, and implications for educational practice. International – Because research on self-regulation is increasingly global, a significant number of interntional contributors are included (see table of contents). Readable – In order to make the book accessible to students, chapters have been carefully edited for clarity, conciseness, and organizational consistency. Expertise – All chapters are written by leading researchers from around the world who are highly regarded experts on their particular topics and are active contributors to the field.
Download or read book A Taxonomy for Learning Teaching and Assessing written by Lorin W. Anderson and published by Pearson. This book was released on 2001 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revision of Bloom's taxonomy is designed to help teachers understand and implement standards-based curriculums. Cognitive psychologists, curriculum specialists, teacher educators, and researchers have developed a two-dimensional framework, focusing on knowledge and cognitive processes. In combination, these two define what students are expected to learn in school. It explores curriculums from three unique perspectives-cognitive psychologists (learning emphasis), curriculum specialists and teacher educators (C & I emphasis), and measurement and assessment experts (assessment emphasis). This revisited framework allows you to connect learning in all areas of curriculum. Educators, or others interested in educational psychology or educational methods for grades K-12.
Download or read book In Order to Learn written by Frank E. Ritter and published by Oxford University Press. This book was released on 2007-07-30 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Order affects the results you get: Different orders of presenting material can lead to qualitatively and quantitatively different learning outcomes. These differences occur in both natural and artificial learning systems. In Order to Learn shows how order effects are crucial in human learning, instructional design, machine learning, and both symbolic and connectionist cognitive models. Each chapter explains a different aspect of how the order in which material is presented can strongly influence what is learned by humans and theoretical models of learning in a variety of domains. In addition to data, models are provided that predict and describe order effects and analyze how and when they will occur. The introductory and concluding chapters compile suggestions for improving learning through better sequences of learning materials, including how to take advantage of order effects that encourage learning and how to avoid order effects that discourage learning. Each chapter also highlights questions that may inspire further research. Taken together, these chapters show how order effects in different areas can and do inform each other. In Order to Learn will be of interest to researchers and students in cognitive science, education, machine learning.
Download or read book Domain Adaptation in Computer Vision Applications written by Gabriela Csurka and published by Springer. This book was released on 2017-09-10 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together solutions and perspectives proposed by an international selection of pre-eminent experts in the field, addressing not only classical image categorization, but also other computer vision tasks such as detection, segmentation and visual attributes. Topics and features: surveys the complete field of visual DA, including shallow methods designed for homogeneous and heterogeneous data as well as deep architectures; presents a positioning of the dataset bias in the CNN-based feature arena; proposes detailed analyses of popular shallow methods that addresses landmark data selection, kernel embedding, feature alignment, joint feature transformation and classifier adaptation, or the case of limited access to the source data; discusses more recent deep DA methods, including discrepancy-based adaptation networks and adversarial discriminative DA models; addresses domain adaptation problems beyond image categorization, such as a Fisher encoding adaptation for vehicle re-identification, semantic segmentation and detection trained on synthetic images, and domain generalization for semantic part detection; describes a multi-source domain generalization technique for visual attributes and a unifying framework for multi-domain and multi-task learning. This authoritative volume will be of great interest to a broad audience ranging from researchers and practitioners, to students involved in computer vision, pattern recognition and machine learning.
Download or read book Teaching and Learning for Adult Skill Acquisition written by Elaine M. Silva Mangiante and published by IAP. This book was released on 2021-05-01 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book, Teaching and Learning for Adult Skill Acquisition: Applying the Dreyfus and Dreyfus Model in Different Fields, will fill a unique niche in the field of adult, higher, and workforce education. It offers a current volume for scholars and practitioners based on both empirical studies and practice-based research on adult skill acquisition and development. Dreyfus and Dreyfus (1980, 1988, 2004, 2008) developed the novice to expert model of skill acquisition that illustrates growth over the course of a person’s career in a particular domain. The skill model highlights a learner’s movement across six levels of skill development: novice, advanced beginner, competent, proficient, expert, and mastery. This book will present examples of the application of the Dreyfus and Dreyfus model in different fields (i.e., health care, education, law enforcement, business, serious gaming, military, ethics training, etc.) providing insight into how practitioners can develop their skills in their particular domains and how educators can promote this development. This collection will be appropriate for a wide variety of professors, researchers, practitioners, and students in the field of adult, higher, and workforce education.
Download or read book Towards Recognizing New Semantic Concepts in New Visual Domains written by Massimiliano Mancini and published by Sapienza Università Editrice. This book was released on 2022-11-30 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite being the leading paradigm in computer vision, deep neural networks are inherently limited by the visual and semantic information contained in their training set. In this thesis, we aim to design deep models operating with previously unseen visual domains and semantic concepts. We first describe different solutions for generalizing to new visual domains, applying variants of normalization layers to multiple challenging settings e.g. where new domain data is not available but arrives online or is described by metadata. In the second part, we incorporate new semantic concepts into pretrained deep models. We propose specific solutions for different problems such as multi-task/incremental learning and open-world recognition. Finally, we merge the two challenges: given images of multiple domains and categories, can we recognize unseen concepts in unseen domains? We propose an approach that is the first, promising step, towards solving this problem. Winner of the Competition “Prize for PhD Thesis 2020” arranged by Sapienza University Press.
