愤慨点吧
发表于 2025-3-26 21:35:13
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Muffle
发表于 2025-3-27 03:21:15
Transformative Networked Learning: An Expanded Design Framework for Individual, Group, and Social Peive effort, the authors argue that there is a significant distance between the community’s political aspirations and everyday practices—subsequently, the community has exclusively focused on the “network” part of NL while neglecting the “learning” part. The chapter demonstrates how the NL theory and
cardiac-arrest
发表于 2025-3-27 05:49:13
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Aggressive
发表于 2025-3-27 12:01:44
Framing Networked Learningg human activities. This idea is explored by outlining four metaphors of society that are named the biosphere, the distorted reality, the community, and the market. The metaphors are used as foundations for four different frames that can be used when studying or design for networked learning. Each m
Hallmark
发表于 2025-3-27 13:53:17
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不可侵犯
发表于 2025-3-27 17:47:53
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生气的边缘
发表于 2025-3-27 22:44:48
2570-4524 dies of networked learning designs for transformative learni.This book provides cutting-edge research on networked learning, focusing on issues of sustainability in design for learning, data use, and networked learning connections. It contributes novel theoretical perspectives on networked learning,
aspersion
发表于 2025-3-28 05:13:46
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无可非议
发表于 2025-3-28 07:50:10
Networked Learning in a Postdigital-Biodigital Agehy now? We perceive NL to implicitly hold a long history of deep and successful engagement with postdigital-biodigital challenges in theory and through the concept of convergence. Convergence is an important and sustained concept in NL that can break down perceived barriers to developing cross-cutti
ostensible
发表于 2025-3-28 11:49:54
Open Is Not Enough: Designing for a Networked Data Commonsco-operate through a convivial technology. In this context, we plug NL into a theoretical and methodological design assemblage that connects concepts of openness, data literacy, (de)coloniality, and participatory. Finally, we consider how the approaches we have been developing might benefit research