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3 references
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- Vol 7 RE: Chapter 15, App D
productive learning networksepistemic designset designsocial designknowledge creationnetworked learningparticipant agencylearning-environment architectureEdited book Evidence summaryAt a glance
Carvalho and Goodyear examine how productive learning networks are constituted through relationships among people, knowledge, tasks, physical settings, and digital tools. Using an architectural metaphor, the collection distinguishes the designed elements of a learning environment from the activity that learners actually assemble and enact.
Key ideas
Its analytical framework attends to epistemic design—what knowledge work participants undertake—set design—the material and digital resources available—and social design—roles, groupings, divisions of labour, and interaction. Case studies span formal courses, professional learning, open science, creative collaboration, and informal networks, revealing recurring patterns without proposing a universal blueprint. Productive networks connect participants and resources around worthwhile knowledge creation, but technology or connectivity alone does not make a network educationally effective. Designers must consider how arrangements work together over time and how learners adapt them.
Why it matters
The book offers a vocabulary for analysing existing environments and extracting reusable design knowledge while preserving context, emergence, and participant agency. It shifts attention from delivering content toward configuring conditions for collaborative, networked learning.
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- Vol 2 RE: Chapters 4, 5, 6, 7, 9, 12, 13, 14, App A, App D, App F
- Vol 5 RE: App D
progressive inquiryknowledge buildingcommunal knowledge creationworking theoriesquestion formulationpeer critiquedistributed expertisecollective explanationBook Evidence summaryAt a glance
This Finnish-language book develops progressive inquiry as a framework for organizing learning around sustained, communal work with knowledge. Learners begin from meaningful problems, examine what they already know, formulate questions and tentative working theories, seek new information, critically evaluate explanations, and generate increasingly focused questions.
Key ideas
Knowledge is treated as something a community improves through dialogue and shared artifacts, not merely content individuals receive. The authors connect cognition with emotion, motivation, culture, expertise, and distributed participation, arguing that deep understanding requires both intellectual challenge and supportive social practices. Teachers create the inquiry context, model productive questioning, help learners find and assess sources, and support groups in moving beyond superficial fact gathering. The book is a theoretical and practice-oriented synthesis in Finnish rather than a single controlled evaluation of the model.
Why it matters
Its enduring practical contribution is a recursive design for inquiry: make students’ ideas visible, use evidence and peer critique to refine them, distribute expertise, and assess progress by the quality and depth of collective explanation.
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- Vol 6 RE: Chapter 13, App C, App D
networked expertisedistributed cognitioncognitive division of laborknowledge creationprofessional networksboundary crossingshared problem solvingcollective accountabilityBook Evidence summaryAt a glance
Hakkarainen and colleagues conceptualise expertise as a networked, relational achievement rather than knowledge contained wholly within exceptional individuals. Competent activity depends on interaction, shared problem solving, division of cognitive labour, and access to socially developed conceptual and material tools.
Key ideas
Drawing on workplace studies and psychological, sociological, and educational research, the book examines communities, organisations, professional networks, knowledge creation, innovation, and development of expertise. Networks allow participants to locate complementary competence, circulate and transform knowledge, and address problems too complex for one person, but connection alone does not guarantee learning. Trust, shared objects, communication practices, boundary crossing, and structures that support contribution and critique matter. Individuals still require deep knowledge and agency; distributed expertise is not a reason to neglect personal learning or accountability.
Why it matters
For education, the perspective supports authentic collective problems, participation in knowledge practices, access to varied expertise, and tools that make developing ideas shareable. Evaluation should examine changes in both individual capability and the network’s capacity to create and use knowledge.
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Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
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