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"We are all learning machines, constantly adapting to the ever-changing threats and opportunities with which we are confronted. We learn through experience, whether consciously or unconsciously; we learn by seeking out the knowledge and skills we need to carry out our day-to-day tasks; we learn by sharing experiences and best practice with our colleagues, and by taking advantage of opportunities for development, both formal and informal. The new learning architect designs environments that enable specific target populations to take maximum advantage of all these opportunities for learning. To do this they need to understand the unique characteristics of their clients and the business challenges they are facing; they need to find just the right balance between top-down and bottom-up learning initiatives, between the formal and informal. The new learning architect is at the vanguard of the next generation of learning and development professionals, taking advantage of the latest tools, technologies and thinking to help organisations meet the acute financial, time and environmental pressures of the 21st century." -- Publisher website.
Become an Architect of Learning! (blueprints included). The brain constructs new learning, sorting and labeling new data, comparing it with prior experience, and using resulting understandings to interact with the environment. Written for teachers, educational leaders, and instructional designers, this guide presents tools for developing teaching that engages the student thinking needed to construct learning. With applied research from neuroscience and cognitive psychology, The Architecture of Learning introduces a series of blueprints that strategically direct a teacher s thinking and planning. The resulting instruction capitalizes on the brain s penchant for patterns and moves students from recognizing a reference point for constructing new understanding to using new learning to think about and act on the real world. The Architecture of Learning addresses: Understanding how students learn, building blocks of learning, subject matter types and focus processes of learning, aligning learning, teaching, and assessment, critical and creative thinking in teaching and learning, evaluating and revising instruction
‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture’s best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections – Process, Relationships and Results – Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: Professionalism Tools and technologies Laws, policy and risk Delivery, means and methods Creating, consuming and curating data Value propositions and business models.
Modern Schools: A Century of Design for Education is a comprehensive survey of modern K-12 schools from Frank Lloyd Wright to Morphosis an in-depth design study that explores the fundamental relationship between architecture, education, and the design of contemporary learning environments. Its focus is on the underlying design themes and characteristic features that support and enhance basic aspects of learning and, in the process, create an architectural expression that is both meaningful and lasting. The breadth of its scope includes influences of contemporary educational ideas and practices, related design concepts and strategies, and most importantly, the resulting impact of both on real environments for learning. This remarkable survey and project study the first of its kind is an essential and important sourcebook for architects, school planners, educators, and anyone else interested in contemporary school design. The body of work presented, which is international in scope, underscores the unique architectural potential of this important project type, and highlights design themes that remain fundamentally relevant for architects and designers today. Presentation material includes more than 900 contemporary and historical photographs, mostly in color, and more than 200 detailed architectural plans drawings of schools by many of the outstanding design architects of the modern era. Modern Schools: A Century of Design for Education features the work of more than 60 architects worldwide, including twentieth century masters Frank Lloyd Wright, Alvar Aalto, Marcel Breuer, Le Corbusier, and Eliel and Eero Saarinen, as well as contemporaries such as Morphosis, Coop Himmel(b)lau, Behnisch & Partners, and Patkau Architects, among many others.
Craft a personal blueprint for teaching that ensures student learning stands as the foundation of your classroom. Drawing on research from the field, reflections from teachers, and the authors' professional experience, Teachers as Architects of Learning guides educators in building their wisdom around the art of teaching. Find new and better ways to plan, implement, discuss, question, model, and more. Use this resource to help students apply their existing knowledge most purposefully to new learning opportunities: Gain a deeper understanding of the learning process through an extensive overview of key learning theories and their practical applications. Discover how a focus on learning rather than teaching benefits students. Explore twelve learning constructs, and learn ways of incorporating them into a learning-centered classroom. Reflect on teaching strategies, and develop more mindful approaches to class modeling, both in individual and collaborative group contexts. Examine the importance of students' investment in their own learning process, and create an environment in which students find more motivation, agency, and mindfulness in their learning. Contents: Acknowledgments Table of Contents About the Authors Foreword Chapter 1: Introduction Chapter 2: Questioning Chapter 3: Self-Assessment: Reflection and Feedback Chapter 4: Observing and Listening Chapter 5: Explicit Instruction Chapter 6: Modeling and Exemplars Chapter 7: Support and Safety Chapter 8: Time Chapter 9: Expectation Chapter 10: Lifeworlds Chapter 11: Desire Chapter 12: Resources Chapter 13: Existing Knowledge Appendix References and Resources Index
As the digital economy changes the rules of the game for enterprises, the role of software and IT architects is also transforming. Rather than focus on technical decisions alone, architects and senior technologists need to combine organizational and technical knowledge to effect change in their company’s structure and processes. To accomplish that, they need to connect the IT engine room to the penthouse, where the business strategy is defined. In this guide, author Gregor Hohpe shares real-world advice and hard-learned lessons from actual IT transformations. His anecdotes help architects, senior developers, and other IT professionals prepare for a more complex but rewarding role in the enterprise. This book is ideal for: Software architects and senior developers looking to shape the company’s technology direction or assist in an organizational transformation Enterprise architects and senior technologists searching for practical advice on how to navigate technical and organizational topics CTOs and senior technical architects who are devising an IT strategy that impacts the way the organization works IT managers who want to learn what’s worked and what hasn’t in large-scale transformation
Anne Meyer and David Rose, who first laid out the principles of UDL, provide an ambitious, engaging discussion of new research and best practices. This book gives the UDL field an essential and authoritative learning resource for the coming years. In the 1990s, Anne Meyer, David Rose, and their colleagues at CAST introduced Universal Design for Learning (UDL) as a framework to improve teaching and learning in the digital age, sparking an international reform movement. Now Meyer and Rose return with Universal Design for Learning: Theory and Practice, an up-to-date multimedia online book (with print and e-book options) that leverages more than a decade of research and implementation. This is the first significant new statement on UDL since 2002, an ambitious, engaging exploration of ideas and best practices that provides the growing UDL field with an essential and authoritative learning resource for the coming years. This new work includes contributions from CAST's research and implementation teams as well as from many of CAST's collaborators in schools, universities, and research settings. Readers are invited to contribute ideas, perspectives, and examples from their own practice in an online community of practice. --
Unlike books that concentrate on the monuments and other artefacts that architects produce, Constructing the Architect focuses on architecture as a disciplinary and professional process, an institution of society, and a career of learning and mastery. In doing so, it offers a lens into the architecture of architecture. Mapping architecture as a coherent whole, Leonard Bachman shows that the field must be understood as four mutually reinforcing modes of inquiry: design, research, strategy, and education. Within this framework, he explains how institutions and actors hold differing perspectives on the critical discourse that advances architecture and identifies the various tensions and leverage points for change within the discipline. Featuring over 100 illustrations to support understanding of this highly visual subject, this is an essential introduction for any student seeking to understand what it means to be an architect and to enter the professional discourse.
Products, technologies, and workplaces change so quickly today that everyone is continually learning. Many of us are also teaching, even when it's not in our job descriptions. Whether it's giving a presentation, writing documentation, or creating a website or blog, we need and want to share our knowledge with other people. But if you've ever fallen asleep over a boring textbook, or fast-forwarded through a tedious e-learning exercise, you know that creating a great learning experience is harder than it seems. In Design For How People Learn, you'll discover how to use the key principles behind learning, memory, and attention to create materials that enable your audience to both gain and retain the knowledge and skills you're sharing. Using accessible visual metaphors and concrete methods and examples, Design For How People Learn will teach you how to leverage the fundamental concepts of instructional design both to improve your own learning and to engage your audience.
Machine learning, and specifically deep learning, has been hugely disruptive in many fields of computer science. The success of deep learning techniques in solving notoriously difficult classification and regression problems has resulted in their rapid adoption in solving real-world problems. The emergence of deep learning is widely attributed to a virtuous cycle whereby fundamental advancements in training deeper models were enabled by the availability of massive datasets and high-performance computer hardware. This text serves as a primer for computer architects in a new and rapidly evolving field. We review how machine learning has evolved since its inception in the 1960s and track the key developments leading up to the emergence of the powerful deep learning techniques that emerged in the last decade. Next we review representative workloads, including the most commonly used datasets and seminal networks across a variety of domains. In addition to discussing the workloads themselves, we also detail the most popular deep learning tools and show how aspiring practitioners can use the tools with the workloads to characterize and optimize DNNs. The remainder of the book is dedicated to the design and optimization of hardware and architectures for machine learning. As high-performance hardware was so instrumental in the success of machine learning becoming a practical solution, this chapter recounts a variety of optimizations proposed recently to further improve future designs. Finally, we present a review of recent research published in the area as well as a taxonomy to help readers understand how various contributions fall in context.