Adapting To Learn And Learning To Adapt

Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning, and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about program cycle. It both erases the boundaries between design, implementation, and evaluation and reframes thinking to consider the complexity of development problems and nonlinear change pathways.Supportive management structures and processes are crucial for fostering adaptive management. Implementers and donors are experimenting with how procurement, contracting, work planning, and reporting can be modified to foster adaptive programming. Well-designed monitoring, evaluation, and learning systems can go beyond meeting accountability and reporting requirements to produce data and learning for evidence-based decision making and adaptive management. It is important to continue experimenting and learning to integrate adaptive programming and management into the operational policies and practices of donor agencies, country partners, and implementers. We need to devote ongoing effort to build the evidence base for the contributions of adaptive management to achieving international development results.

Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning, and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about program cycle. It both erases the boundaries between design, implementation, and evaluation and reframes thinking to consider the complexity of development problems and nonlinear change pathways.Supportive management structures and processes are crucial for fostering adaptive management. Implementers and donors are experimenting with how procurement, contracting, work planning, and reporting can be modified to foster adaptive programming. Well-designed monitoring, evaluation, and learning systems can go beyond meeting accountability and reporting requirements to produce data and learning for evidence-based decision making and adaptive management. It is important to continue experimenting and learning to integrate adaptive programming and management into the operational policies and practices of donor agencies, country partners, and implementers. We need to devote ongoing effort to build the evidence base for the contributions of adaptive management to achieving international development results.

Outcome Mapping: Building learning and reflection into development programs

A guide for individuals and organizations navigating the complex and ambiguous Future of Work Foreword by New York Times columnist and best-selling author Thomas L. Friedman Technology is changing work as we know it. Cultural norms are undergoing tectonic shifts. A global pandemic proves that we are inextricably connected whether we choose to be or not. So much change, so quickly, is disorienting. It's undermining our sense of identity and challenging our ability to adapt. But where so many see these changes as threatening, Heather McGowan and Chris Shipley see the opportunity to open the flood gates of human potential—if we can change the way we think about work and leadership. They have dedicated the last 5 years to understanding how technical, business, and cultural shifts affecting the workplace have brought us to this crossroads, The result is a powerful and practical guide to the future of work for leaders and employees. The future can be better, but only if we let go of our attachment to our traditional (and disappearing) ideas about careers, and what a "good job" looks like. Blending wisdom from interviews with hundreds of executives, The Adaptation Advantage explains the profound changes happening in the world of work and posits the solution: new ways to think about careers that detach our sense of pride and personal identity from our job title, and connect it to our sense of purpose. Activating purpose, the authors suggest, will inherently motivate learning, engagement, empowerment, and lead to new forms of pride and identity throughout the workforce. Only when we let go of our rigid career identities can we embrace and appreciate the joys of learning and adapting to new realities—and help our organizations do the same. Of course, making this transition is hard. It requires leaders who can attract and motivate cognitively diverse teams fueled by a strong sense of purpose in an environment of psychological safety—despite fierce competition and external pressures. Adapting to the future of work has always called for strong leadership. Now, as a pandemic disrupts so many aspects of work, adapting is a leadership imperative. The Adaptation Advantage is an essential guide to help leaders meet that challenge.

In recent years many countries have built or renovated schools incorporating open plan design. These new spaces are advocated on the basis of claims that they promote fresh, productive ways to teach and learn that address the needs of students in this century, resulting in improved academic and well-being outcomes. These new approaches include teachers planning and teaching in teams, grouping students more flexibly, developing more coherent and comprehensive curricula, personalising student learning experiences, and providing closer teacher-student relationships. In this book we report on a three-year study of six low SES Years 7–10 secondary schools in regional Victoria, Australia, where staff and students adapted to these new settings. In researching this transitional phase, we focused on the practical reasoning of school leaders, teachers and students in adapting organisational, pedagogical, and curricular structures to enable sustainable new learning environments. We report on approaches across the different schools to structural organisation of students in year-level groupings, distributed leadership, teacher and pre-service teacher professional learning, student advocacy and wellbeing, use of techno-mediated learning, personalising student learning experiences, and curriculum design and enactment. We found that these new settings posed significant challenges for teachers and students and that successful adaptation depended on many interconnected factors. We draw out the implications for successful adaptation in other like settings.

Unprecedented Times. Unprecedented Teaching. With the COVID-19 pandemic raging, an almost-retired kindergarten teacher is thrust into a brand new arena amid very uncertain circumstances. She must find a way to connect with her young students: be it through Remote learning, distanced In-person learning or a combination of both. Personally and professionally, she learns to adapt to the "new normal". Honest and forthright, funny and poignant, the story follows her journey from national Lockdown in March 2020 to her vaccination in April 2021.

Adaptation Studies is a fast-emerging discipline which has expanded into other areas of media scholarship. With its roots in literature and film, this discipline can be applied to much broader uses, even as a process that governs every aspect of our lives. Indeed, by expanding the scope of "adaptation" to encompass a larger perspective, this discipline can promote lifelong learning that emphasizes communication, social interaction, and aesthetic engagement. In Adaptation Studies and Learning: New Frontiers, Laurence Raw and Tony Gurr seek to redefine the ways in which adaptation is taught and learned. Comprised of essays, reflections, and "learning conversations" about the ways in which this approach to adaptation might be implemented, this book focuses on issues of curriculum construction, the role of technology, and the importance of collaboration. Including a series of case-studies and classroom experiences, the authors explore the relationship between adaptation and related disciplines such as history, media, and translation. The book also includes a series of case studies from the world of cinema, showing how collaboration and social interaction lies at the heart of successful film adaptations. By looking beyond the classroom, Raw and Gurr demonstrate how adaptation studies involves real-world issues of prime importance--not only to film and theater professionals, but to all learners. Covering a wide range of material, including film history, educational theory, and literary criticism, Adaptation Studies and Learning offers a radical repositioning of the way we think about adaptation both inside and outside academia.

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in recent years. It outlines the importance of domain adaptation for the advancement of computer vision, consolidates the research in the area and provides the reader with promising directions for future research in domain adaptation. Divided into four parts, the first part of this book begins with an introduction to domain adaptation, which outlines the problem statement, the role of domain adaptation and the motivation for research in this area. It includes a chapter outlining pre-deep learning era domain adaptation techniques. The second part of this book highlights feature alignment based approaches to domain adaptation. The third part of this book outlines image alignment procedures for domain adaptation. The final section of this book presents novel directions for research in domain adaptation. This book targets researchers working in artificial intelligence, machine learning, deep learning and computer vision. Industry professionals and entrepreneurs seeking to adopt deep learning into their applications will also be interested in this book.