This book challenges standard notions of expertise. In today's world, truly effective expertise is built on fluid collaboration between practitioners from multiple backgrounds. Such collaborative expertise must also be transformative, must be able to tackle emerging new problems and changes in its organizational framework. Engeström argues that the transition toward collaborative and transformative expertise is based on three pillars: expertise needs to be understood and cultivated as a collective activity; expertise needs to be built on flexible knot-working among diverse practitioners; and expertise needs to be fostered as the expansive learning of models and patterns of activity that are in progress. In this book, Engeström recasts expertise as fluid collaboration on complex tasks that requires envisioning the future and mastering change.
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Product Details
Weight: 530g
Dimensions: 157 x 235mm
Publication Date: 02 Aug 2018
Publisher: Cambridge University Press
Publication City/Country: United Kingdom
Language: English
ISBN13: 9780521404488
About Yrjoe EngestroemYrjö Engeström
Yrjö Engeström is Professor Emeritus of Communication at the University of California San Diego and Professor Emeritus of Adult Education at the University of Helsinki Finland where he is also Director of the Center for Research on Activity Development and Learning (CRADLE). In his work Engeström applies and develops cultural-historical activity theory as a framework for the study of transformations in educational settings work environments and communities. He has carried out interventionist research in health care settings for over thirty years. He is known for his theory of expansive learning and for the methodology of formative interventions including the Change Laboratory method. Engeström's most recent books are From Teams to Knots: Activity-Theoretical Studies of Collaboration and Learning at Work (Cambridge 2008) Learning by Expanding: An Activity-Theoretical Approach to Developmental Research (Cambridge Second Edition 2015) and Studies in Expansive Learning: Learning What Is Not Yet There (Cambridge 2016).
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