The Architecture of Productive Learning Networks

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· Routledge
電子書
312
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The Architecture of Productive Learning Networks explores the characteristics of productive networked learning situations and, through a series of case studies, identifies some of the key qualities of successful designs. The case studies include networks from a variety of disciplinary and professional fields, including graphic design, chemistry, health care, library science, and teacher education. These learning networks have been implemented in a variety of settings: undergraduate courses in higher education, continuing professional development, and informal networks for creating and sharing knowledge on a particular topic. They are rich in reusable design ideas.

The book introduces a framework for analyzing learning networks to show how knowledge, human interaction and physical and digital resources combine in the operation of productive learning networks. The book also argues that learning through interaction in networks has a long history. It combines ideas from architecture, anthropology, archaeology, education, sociology and organizational theory to illustrate and understand networked forms of learning.

關於作者

Lucila Carvalho is a Postdoctoral Research Associate in the CoCo Research Centre at the University of Sydney, Australia. Her PhD combined research in design, learning technology and the sociology of knowledge. She has studied and carried out research in Australia, New Zealand, the UK and Brazil. She has presented her work at various international conferences in the fields of education, sociology, systemic functional linguistics, design and software engineering.

Peter Goodyear is Professor of Education, Australian Laureate Fellow and Co-Director of the CoCo Research Centre at the University of Sydney, Australia. He has been carrying out research in the field of learning and technology since the early 1980s, working in the UK, Europe and Australia. He has published eight books and over 100 journal articles and book chapters.

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