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OverviewThis book provides a comprehensive and practical guide to life-based learning, a paradigm of education that integrates formal, informal, and non-formal learning experiences across various contexts and domains, such as community, workplace, personal, and leisure settings. The book addresses the problem of how to design and implement effective and engaging learning experiences that are relevant, meaningful, and authentic for learners of all ages and backgrounds. The book also explores the benefits and key challenges of life-based learning for learners, educators and policy makers through case studies of life-based learning initiatives and programs from around the world. The book is intended for those interested or involved in the field of education, such as teachers, trainers, facilitators, curriculum developers, instructional designers, researchers, policy makers, and learners. Chapters 1, 2 and 24 are available open access under a Creative Commons Attribution 4.0 NC-ND International License via link.springer.com. Full Product DetailsAuthor: Aji Prasetya Wibawa , Andrew Nafalski , Gulsun Kurubacak Çakır , Ming Foey TengPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG ISBN: 9783032167309ISBN 10: 3032167302 Pages: 370 Publication Date: 20 April 2026 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviewsAuthor InformationAji Prasetya Wibawa is an accomplished scholar with a Ph.D. in electrical and information engineering from the esteemed Universityof South Australia (UniSA). Holding the position of Head of the Electrical Engineering Department at Universitas Negeri Malang (UM),Indonesia, he has significantly contributed to the academic landscape. As a distinguished Professor and Research Group Leader, Prof. Wibawa spearheads the Knowledge Engineering and Data Science (KEDS) group, showcasing his leadership in cutting-edge researchendeavors. His multifaceted research portfolio encompasses Artificial Intelligence (AI), data mining, machine translation, and social informatics, reflecting a profound commitment to advancing knowledge in diverse domains. Tab Content 6Author Website:Countries AvailableAll regions |
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