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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
This book identifies recognition-based systems of engagement and exchange within current alternative food networks, and demonstrates how these fluid micro-structures are fundamental to the development of alternative farming in an Irish context. The author confronts current prevailing discourse by proposing that internal structures of mutual recognition, rather than the market logic of productivist hybrids, underpin successful alternative farms. By adopting a Vygotskian developmental approach, necessarily grounded in communities of practice, the author recognises the expansion of alternative farming in the social-cultural context of ‘scaling out’, rather than in the clinical economic context of ‘scaling up’ which is currently supported by the Irish state. The book relies on Honneth’s recognition theory and theories of extended cognition as an analytical starting point. Volunteering, participatory observation, and interviewing shaped the immersive component of the research which supports this book, and which is influenced by grounded theory, critical theory and cognitive ethnography.
This document focuses on the implementation phase of farmer field school (FFS) programmes and provides guidance and tools that will help farmer field schools to bring about the change expected by the programme and the communities it supports, by setting up a robust monitoring, evaluation and learning (MEL) system. It also introduces impact assessment as an integral management function linked to monitoring, evaluation and learning in FFS programmes. It is aimed at project and programme designers, managers and staff involved in planning, monitoring, evaluation and learning of project/programmes with a farmer field school component. It also targets those who will be involved in the initial design, planning, follow-up of monitoring, evaluation and learning and impact assessment to improve programme implementation. The document outlines background information and tools to help ensure that implementation of FFS programmes will lead to the anticipated outputs, outcomes and impacts, by setting up a robust MEL system and impact assessment methodology/framework for the improvement of ongoing FFS projects and programmes and the design of new ones.