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Data & Training, Learning, Folksonomy, Scenario Learning, Outsourcing, & Rapid eLearning

Big Dog, Little Dog

For the most part, university students have used rather modest computing systems to support their studies. We've shown that it is possible for the brain to condition its own wiring system to operate more efficiently.". Folksonomy folktales - KM World. The Dewey Decimal System is not a good example of a taxonomy.

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eLearning Topics

Tony Karrer

For example, we see terms now at the top like Learning Management System , AICC , SCORM. That's because they are ordered according to how closely the system thinks the companies are associated with the selected term within the content set. This works across any subset of the content including sources, keywords and arbitrary searches.

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Learning pathways

Learning with e's

According to Deleuze and Guattari, rhizomes are unlike any other kind of root system, having no beginning and no end. Rhizomes don't follow the rules of normal root systems, because they resist organisational structure and chronology, 'favouring a nomadic system of growth and propagation.'

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Learning Solutions day 3: Saved the best for the last #LS2011

Challenge to Learn

But maybe even more important it means that with the aid of DITA you can publish to all kind of systems. Not only LMS (in Scorm format), but also to online help, EPSS systems, knowledge management systems et cetera. On top of that comes that DITA will free the users of authoring systems from their vendor lock-in.

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Building Your Upskilling Strategy: Data vs. People

Degreed

Institute for the Future lists 10 skills and six drivers: extreme longevity, the computational world, super-structured organizations, the rise of smart machines and systems, a new media ecology, and the globally connected world. People-Driven.

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Semantic technologies and learning

Learning with e's

Current research in learning technologies has shown that in learning environments Semantic Web technologies can integrate data about learning objects, learning activities and learners captured from various e-Learning systems and tools. Collaborative tagging and folksonomies for multimedia learning objects. techniques (e.g.

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Next generation learning

Learning with e's

Here we begin to think not only of voice activated, gestural controlled interfaces, but we also need to start considering biometric recognition systems such as retinal scanning, facial recognition and even directly implanted devices that allow us to control our devices merely by thinking (see the table below). Learning 3.0 Where Learning 1.0

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