This book re-imagines the essence and role of adult education at both the individual and societal levels. It provides arguments for understanding adult education as a process of agency and empowerment, which has not only instrumental but intrinsic and transformative roles to play. This book brings together ideas from the capability approach with insights from recognition theory; the embeddedness approach; the political economic perspective for understanding public and private goods and the common goods perspective. The analysis draws on data from large-scale international studies – alongside qualitative data - and adopts a wide-ranging European comparative perspective. The book develops original instruments for measuring different dimensions of adult education as a common good, and its realisation in different social contexts. It is aimed at academics, students, practitioners, and policy makers interested in adult and/or higher education and the social justice perspective to human life.

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

This book provides an easily accessible, practical yet scholarly source of information about the international concern for the philosophy, theory, categories and concepts of lifelong learning. Written in a straightforward understandable manner, the book examines in depth the range of philosophical perspectives in the field of lifelong learning theory, policy, practice and applied scholarship.

The new focus in learning is on developing the individual's capability. This work looks at this in the context of improving skills, lifelong learning and welfare-to-work. It debates the issues within the setting of institutional strategies, work-based learning, skills development and assessment.

The 60-Year Curriculum explores models and strategies for lifelong learning in an era of profound economic disruption and reinvention. Over the next half-century, globalization, regional threats to sustainability, climate change, and technologies such as artificial intelligence and data mining will transform our education and workforce sectors. In turn, higher education must shift to offer every student life-wide opportunities for the continuous upskilling they will need to achieve decades of worthwhile employability. This cutting-edge book describes the evolution of new models—covering computer science, inclusive design, critical thinking, civics, and more—by which universities can increase learners’ trajectories across multiple careers from mid-adolescence to retirement. Stakeholders in workforce development, curriculum and instructional design, lifelong learning, and higher and continuing education will find a unique synthesis offering valuable insights and actionable next steps.

The defining attributes of the 21st-century economy and fourth industrial revolution are innovation, technology, globalization, and a rapid pace of change. Therefore, an organization's capacity to enhance the capabilities of its workforce and create a culture of continuous learning are vital to remaining competitive. These trends make an effective learning-and-development (L&D) function more critical than ever. This compendium of articles, from L&D professionals at McKinsey & Company, discusses every facet of professional development and training-from ensuring that L&D's efforts are closely aligned with business strategy to elements of advancing the L&D function, designing learning solutions, deploying digital learning, executing flawlessly, measuring impact, and ensuring good governance. For L&D professionals seeking to hone their organization's efforts, Elevating Learning & Development: Insights and Practical Guidance from the Field is the ideal resource.

This book clearly articulates the foundations of an educational vision that is distinctively supported by eportfolio use, drawing on work in philosophy, sociology, higher and adult education, and elearning research. It is academically rigorous and accessible not only to scholars in a range of disciplines who might study or use eportfolios. It surveys the state-of-the-art of international eportfolio practice and suggests future directions for higher educational institutions in terms of curriculum, assessment, and technology. This resource is written for scholars, support staff, instructional technologists, academic administrators, and policy makers.