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Performance - Collaboration - Social Network Analysis - eLearning Hot List

Tony Karrer

yes, they went there - WISE Pedagogy , June 1, 2009 Time Spent - The Learning Circuits Blog , June 1, 2009 Top Other Items The following are the top other items based on social signals. Browse eLearning Content

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How to evaluate social and informal learning

Jay Cross

Dan Pontefract had a great post on TrainingWreck about the inadequacy of the Kirkpatrick model in a world where learning is increasingly collaborative and networked. Dan takes the logic further than I did last week in my post on how to assess learning initiatives. Network analysis.

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Google Wave – Social Learning – Business – eLearning Hot List

Tony Karrer

- The Art of Computer Game Design , June 17, 2009 Social Network Analysis: An introduction , June 12, 2009 Rapid (Collaborative) Authoring Tools for developers/SMEs in multiple locations , June 17, 2009 U.S.

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Summarizing Learn for Yourself

Jay Cross

Here’s a summary of the Working Smarter Fieldbook : While learning is ascendant, training is in decline, for workers are embracing self-service learning; they learn in the context of work, not at some training class divorced from work. Finally, here’s a summary of Informal Learning.

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eLearning Learning - Best of June 2009

eLearning Learning Posts

New online book on mobile learning -available for free download - Ignatia Webs , June 12, 2009. Informal learning patterns - Informal Learning , June 26, 2009. Where Organizations Go Wrong With e-Learning - MinuteBio , June 20, 2009. Time Spent - The Learning Circuits Blog , June 1, 2009.

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Co-creation

Jay Cross

Informal Learning – the other 80%. “learning (co-creation of knowledge)&#. “If we look at learners positively, we see that their learning creates new knowledge. The “Community&# topic turned out to cover many potential topics: collaboration. learning with peers. social software apps.

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e-Clippings (Learning As Art): The Social Graph.shaping up to be the hot summer song of 08

Mark Oehlert

Dion Hinchcliffe, as per usual, has a good solid explanation of the social graph (and a lovely graphic). It is close to social network analysis but is more closely tied to graph theory - hence its language of nodes and vertices. Think of it as the study of people and their connections. books futures Web 2.0