The New Learning Architect

2011

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Author: Clive Shepherd
Publisher: Lulu.com
ISBN: 1446769801
Category : Business & Economics
Languages : en
Pages : 184

"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.

The Architecture of Learning

2010

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Author: Kevin D. Washburn
Publisher:
ISBN: 9780984345908
Category : Brain
Languages : en
Pages : 0

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 Software Architect Elevator

2020-04-08

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Author: Gregor Hohpe
Publisher: "O'Reilly Media, Inc."
ISBN: 1492077496
Category : Computers
Languages : en
Pages : 266

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

Machine Learning

2022-04-30

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Author: Phil Bernstein
Publisher: Routledge
ISBN: 1000600688
Category : Architecture
Languages : en
Pages : 173

‘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.

Exercises in Architecture

2013-06-17

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Author: Simon Unwin
Publisher: Routledge
ISBN: 1136486623
Category : Architecture
Languages : en
Pages : 565

Architecture is a doing word. You can learn a great deal about the workings of architecture through analysing examples but a fuller understanding of its powers and potential comes through practice, by trying to do it... This book offers student architects a series of exercises that will develop their capacity for doing architecture. Exercises in Architecture builds on and supplements the methodology for architectural analysis presented in the author’s previous book Analysing Architecture (third edition, Routledge, 2009) and demonstrated in his Twenty Buildings Every Architect Should Understand (Routledge, 2010). The three books taken together deal with the three aspects of learning: description, analysis of examples, and practice. The book offers twelve exercises, each divided into a short series of tasks aimed at developing a particular theme or area of architectural capacity. The exercises deal with themes such as place-making, learning through drawing, framing, light, , uses of geometry, stage setting, eliciting emotional responses, the genetics of detail and so forth.

Design for how People Learn

2011

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Author: Julie Dirksen
Publisher: New Riders
ISBN: 0321768434
Category : Business & Economics
Languages : en
Pages : 272

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.

Teacher As Architect, 2nd Edition

2014-06-01

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Author: Shawn K. Smith
Publisher:
ISBN: 9780983886228
Category : Blended learning
Languages : en
Pages : 376

In the book, Teacher as Architect, you will learn about the 4 core principles of teaching. You will also be empowered to design powerful instruction using the Common Core State Standards. Written in narrative prose, Teacher as Architect delivers both a blueprint for creating your own instructional framework as well as stories of those on the front lines with our kids in classrooms across America.

Solutions Architect's Handbook

2020-03-21

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Author: Saurabh Shrivastava
Publisher: Packt Publishing Ltd
ISBN: 183864783X
Category : Computers
Languages : en
Pages : 475

From fundamentals and design patterns to the different strategies for creating secure and reliable architectures in AWS cloud, learn everything you need to become a successful solutions architect Key Features Create solutions and transform business requirements into technical architecture with this practical guide Understand various challenges that you might come across while refactoring or modernizing legacy applications Delve into security automation, DevOps, and validation of solution architecture Book DescriptionBecoming a solutions architect gives you the flexibility to work with cutting-edge technologies and define product strategies. This handbook takes you through the essential concepts, design principles and patterns, architectural considerations, and all the latest technology that you need to know to become a successful solutions architect. This book starts with a quick introduction to the fundamentals of solution architecture design principles and attributes that will assist you in understanding how solution architecture benefits software projects across enterprises. You'll learn what a cloud migration and application modernization framework looks like, and will use microservices, event-driven, cache-based, and serverless patterns to design robust architectures. You'll then explore the main pillars of architecture design, including performance, scalability, cost optimization, security, operational excellence, and DevOps. Additionally, you'll also learn advanced concepts relating to big data, machine learning, and the Internet of Things (IoT). Finally, you'll get to grips with the documentation of architecture design and the soft skills that are necessary to become a better solutions architect. By the end of this book, you'll have learned techniques to create an efficient architecture design that meets your business requirements.What you will learn Explore the various roles of a solutions architect and their involvement in the enterprise landscape Approach big data processing, machine learning, and IoT from an architect s perspective and understand how they fit into modern architecture Discover different solution architecture patterns such as event-driven and microservice patterns Find ways to keep yourself updated with new technologies and enhance your skills Modernize legacy applications with the help of cloud integration Get to grips with choosing an appropriate strategy to reduce cost Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders working in the information technology industry who aspire to become solutions architect professionals. A good understanding of the software development process and general programming experience with any language will be useful.

The Machine Learning Solutions Architect Handbook

2022-01-21

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Author: David Ping
Publisher: Packt Publishing Ltd
ISBN: 1801070415
Category : Computers
Languages : en
Pages : 442

Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is for This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You’ll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.

Architecture as a Way of Seeing and Learning

2021-08-16

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Author: Nerea Amorós Elorduy
Publisher: UCL Press
ISBN: 1800080115
Category : Architecture
Languages : en
Pages : 218

At the beginning of 2020, 66 long-term refugee camps existed along the East African Rift. Millions of young children have been born at the camps and have grown up there, yet it is unknown how their surrounding built environments affect their learning and development. Architecture as a Way of Seeing and Learning presents an architect’s take on questions many academics and humanitarians ask. Is it relevant to look at camps through an urban lens and focus on their built environment? Which analytical benefits can architectural and design tools provide to refugee assistance and specifically to young children’s learning? And which advantages can assemblage thinking and situated knowledges bring about in analysing, understanding and transforming long-term refugee camps? Responding to the extreme lack of information about East African camps, Nerea Amorós Elorduy has built contextualised knowledge – nuanced, situated and participatory – to describe, study and transform the East African long-term camps, and uncover hidden agencies in refugee assistance. She uses architecture as a means to create new knowledge collectively, include more local voices and speculate on how to improve the educational landscape for young children. With this book, Amorós Elorduy brings nuance, contextualisation and empathy to the study and management of long-term refugee camps in East Africa. It is empathy, she argues, that will help change mindsets, decolonise humanitarian refugee assistance and its study. Crossing architecture, humanitarian aid and early childhood development, this book offers many practical learnings.