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Learning theories for the digital age

Learning with e's

I pointed out recently that many of the older theories of pedagogy were formulated in a pre-digital age. I blogged about some of the new theories that seem appropriate as explanatory frameworks for learning in a digital age. I questioned whether the old models are anachronistic. I will be interested in your views. Unported License.

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Building Your Upskilling Strategy: Data vs. People

Degreed

Clicking into search results reveals predictions of what some of these skills might be: Burning Glass Technologies lists 14 skills in three categories: digital building blocks, business enablers, and human skills. Those skills were then matched to qualified workers, and a workforce mobility solution emerged. People-Driven.

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Learning pathways

Learning with e's

Hase and Kenyon contextualise heutagogy with reference to complexity theory, and suggest a number of characteristics including 'recognition of the emergent nature of learning' and 'the need for a living curriculum'. Students can, and do, create their own personalised learning pathways.

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The survival of higher education (2): Changing times

Learning with e's

I will then speculate on the current changes in practice that might emerge, both for the institution and the teacher. This is a contested label for new and emergent properties that are found on the Web. This is a contested label for new and emergent properties that are found on the Web. The Network Society. and Purdon, M.

Wiki 89
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Next generation learning

Learning with e's

In my previous blog post, the architecture of learning , I outlined some of the key characteristics of learning in a digital age, and started to identify some of the main differences between Learning 1.0 has seen as shift toward user generated content, and the emergent property of folksonomies. The full power of the Learning 2.0

Scanning 111
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Data, People, or Something In Between: Clearing Your Path to Career Mobility

Degreed

Burning Glass Technologies lists 14 skills in three categories: digital building blocks, business enablers, and human skills. Those skills were then matched to qualified workers, and a career mobility solution emerged. As new data emerges, it’s easy to adjust skills and plans as needed. People-Driven.

Mobile 52
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Learning and KM: Separated at birth?

Jay Cross

Andrew McAfee , Principal Research Scientist , Center for Digital Business – MIT Sloan School of Management and Author, Enterprise 2.0. What might a PKM program in your organization look like, and how can it leverage social networking tools? Today, Enterprise 2.0 is more than a buzzword. Want to see the best in Enterprise 2.0

KM 38