Learning by Building challenges today’s architects and students to experience the energy and creativity of construction. Based on the example of famous architects such as Frank Lloyd Wright and Le Corbusier, who considered construction an integral part of the design process, "design-build" is standard practice in growing numbers of today’s architecture firms. Architect and professor William J. Carpenter explores ways to integrate construction into architectural education, bridging the gap between theory and practice—between designing and building. Mr. Carpenter traces the history of construction in architectural education, from medieval times, to Jefferson’s Monticello, to the German Bauhaus. He cites twentieth-century artists such as Richard Serra and Donald Judd, whose work is generated by the process of making; like the artist, "the architect should be immersed in the potential of construction." Ten in-depth case studies of schools that have incorporated design-build into their curriculum illustrate how construction studios help future architects learn real-life pragmatics and collaboration. Through text and photographs, Mr. Carpenter recounts the diverse experiences of high-profile schools such as Cranbrook and Yale University, providing models for other schools that wish to include design-build in their curriculums. Mr. Carpenter also gives a helpful outline of the practical details involved in design-build, such as team issues, legal issues, and built applications of the process. Learning by Building is a wake-up call to architects and students alike to immerse themselves in the process of architecture—to rediscover, or witness for the first time, the excitement of building.

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment

Innovation in building design and construction depends on innovative strategies being developed by teachers and practitioners, made available to students and then professionally adopted. Successful transfer of this knowledge relies on appropriate support for both students and academics to ensure the new knowledge is translated into a format appropriate to the learner's current state of understanding, often using a constructivist, student-centred learning approach. This special issue of the journal Architectural Engineering and Design Management examines new strategies to manage effectively a growing number of students and a changing student profile in the built environment sector. Written by international experts in the field, core themes covered include student-centred learning, practice-based learning, good practice and evaluation, and instructional systems design. Several papers are devoted to virtual learning, focusing on e-pedagogy, standardisation, bridging the gap between academia and industry, and virtual learning environments. This peer-reviewed publication will be invaluable reading for lecturers and students on architecture and civil engineering courses, professional architects and engineers, and all interested in T&L, continuing professional development and distance learning in the built environment sector.

Buildings have often been studies whole in space, but never before have they been studied whole in time. How Buildings Learn is a masterful new synthesis that proposes that buildings adapt best when constantly refined and reshaped by their occupants, and that architects can mature from being artists of space to becoming artists of time. From the connected farmhouses of New England to I.M. Pei's Media Lab, from "satisficing" to "form follows funding," from the evolution of bungalows to the invention of Santa Fe Style, from Low Road military surplus buildings to a High Road English classic like Chatsworth—this is a far-ranging survey of unexplored essential territory. More than any other human artifacts, buildings improve with time—if they're allowed to. How Buildings Learn shows how to work with time rather than against it.

Building Online Learning Communities further explores the development of virtual classroom environments that foster a sense of community and empower students to take charge of their learning to successfully achieve learning outcomes. This is the second edition of the groundbreaking book by Rena Palloff and Keith Pratt and has been completely updated and expanded to include the most current information on effective online course development and delivery. A practical, hands-on guide, this resource is filled with illustrative case studies, vignettes, and examples from a wide variety of successful online courses. The authors offer proven strategies for handling challenges that include: Engaging students in the formation of an online learning community. Establishing a sense of presence online. Maximizing participation. Developing effective courses that include collaboration and reflection. Assessing student performance. Written for faculty in any distance learning environment, this revised edition is based on the authors many years of work in faculty development for online teaching as well as their extensive personal experience as faculty in online distance education. Rena M. Palloff and Keith Pratt share insights designed to guide readers through the steps of online course design and delivery.

Building on extensive evidence that school-based teacher learning communities improve student outcomes, this book lays out an agenda to develop and sustain collaborative professional cultures. McLaughlin and Talbert—foremost scholars of school change and teaching contexts—provide an inside look at the processes, resources, and system strategies that are necessary to build vibrant school-based teacher learning communities. Offering a compelling, straightforward blueprint for action, this book: Takes a comprehensive look at the problem of improving the quality of teaching across the United States, based on evidence and examples from the authors’ nearly two decades of research.Demonstrates how and why school-based teacher learning communities are bottom-line requirements for improved instruction. Outlines the resources and supports needed to build and sustain a long-term school-based teacher professional community. Discusses the nature of high-quality professional development to support learning and changes in teaching.Details the roles and responsibilities of policymakers at all levels of the school system. “This book offers vivid examples of how teacher learning communities are formed and sustained. A must-read for educators at all levels who are serious about enacting change.” —Amy M. Hightower, Assistant Director, American Federation of Teachers

Networked learning communities: A powerful school improvement strategy for school leaders! Drawing on their work with schools in North America and England, the authors demonstrate how linking professional learning communities across school or district boundaries creates networked learning communities (NLCs) that can share professional knowledge. Through a sample school narrative, the book illustrates how NLCs can significantly improve instruction, increase student performance, and promote deep and sustained change. This resource examines: Collaborative inquiry as a process that challenges teachers’ thinking, generates new learning, and fosters trusting relationships Formal and informal leadership roles in NLCs How NLCs support systematic data analysis and accountability