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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.
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
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.
You want increased customer satisfaction, faster development cycles, and less wasted work. Domain-driven design (DDD) combined with functional programming is the innovative combo that will get you there. In this pragmatic, down-to-earth guide, you'll see how applying the core principles of functional programming can result in software designs that model real-world requirements both elegantly and concisely - often more so than an object-oriented approach. Practical examples in the open-source F# functional language, and examples from familiar business domains, show you how to apply these techniques to build software that is business-focused, flexible, and high quality. Domain-driven design is a well-established approach to designing software that ensures that domain experts and developers work together effectively to create high-quality software. This book is the first to combine DDD with techniques from statically typed functional programming. This book is perfect for newcomers to DDD or functional programming - all the techniques you need will be introduced and explained. Model a complex domain accurately using the F# type system, creating compilable code that is also readable documentation---ensuring that the code and design never get out of sync. Encode business rules in the design so that you have "compile-time unit tests," and eliminate many potential bugs by making illegal states unrepresentable. Assemble a series of small, testable functions into a complete use case, and compose these individual scenarios into a large-scale design. Discover why the combination of functional programming and DDD leads naturally to service-oriented and hexagonal architectures. Finally, create a functional domain model that works with traditional databases, NoSQL, and event stores, and safely expose your domain via a website or API. Solve real problems by focusing on real-world requirements for your software. What You Need: The code in this book is designed to be run interactively on Windows, Mac and Linux.You will need a recent version of F# (4.0 or greater), and the appropriate .NET runtime for your platform.Full installation instructions for all platforms at fsharp.org.
Wide aspects of a university education address design: the conceptualization, planning and implementation of man-made artifacts. All areas of engineering, parts of computer science and of course architecture and industrial design all claim to teach design. Yet the education of design tends ot follow tacit practices, without explicit assumptions, goals and processes. This book is premised on the belief that design education based on a cognitive science approach can lead to significant improvements in the effectiveness of university design courses and to the future capabilities of practicing designers. This applies to all professional areas of design. The book grew out of publications and a workshop focusing on design education. This volume attempts to outline a framework upon which new efforts in design education might be based. The book includes chapters dealing with six broad aspects of the study of design education: • Methodologies for undertaking studies of design learning • Longitudinal assessment of design learning • Methods and cases for assessing beginners, experts and special populations • Studies of important component processes • Structure of design knowledge • Design cognition in the classroom
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
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
Taxonomy-- 'Classification, esp. of animals and plants according to their natural relationships...'Most readers will have heard of the biological taxonomies which permit classification into such categories as phyllum, class, order, family, genus, species, variety. Biologist have found their taxonomy markedly helpful as a means of insuring accuracy of communication about their science and as a means of understanding the organization and interrelation of the various parts of the animal and plant world.
First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.