Note that this isn’t just a technological alternate history. It also describes a different set of social and cultural practices.
Social Media is Killing the LMS Star - A Bootleg of Bryan Alexander's Lost Presentation... - 0 views
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CMSes lumber along like radio, still playing into the air as they continue to gradually shift ever farther away on the margins. In comparison, Web 2.0 is like movies and tv combined, plus printed books and magazines. That’s where the sheer scale, creative ferment, and wife-ranging influence reside. This is the necessary background for discussing how to integrate learning and the digital world.
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These virtual classes are like musical practice rooms, small chambers where one may try out the instrument in silent isolation. It is not connectivism but disconnectivism.
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The 'Web Squared' Era - Forbes.com - 0 views
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Web 2.0, the name we gave this phenomenon in 2004 when we named our new conference, turns five on Oct. 5
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Web Squared.
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Web Squared is another way of saying "Web meets World."
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The Dirty Little Secret About the "Wisdom of the Crowds" - There is No Crowd - 0 views
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Wikipedia isn't written and edited by the "crowd" at all. In fact, 1% of Wikipedia users are responsible for half of the site's edits. Even Wikipedia's founder, Jimmy Wales, has been quoted as saying that the site is really written by a community, "a dedicated group of a few hundred volunteers."
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I think your headline is misleading and Vassilis Kostakos should read the book before poking holes. Surowiecki is very clear about the conditions necessary for a wise crowd to prevail and those conditions are: 1. Diversity of opinion 2. Independence 3. Decentralization 4. Aggregation If your crowd possesses those qualities then it is wise and then it will be better at making decisions under Surowiecki's paradigm. The crowds used in the research (and the crowd in general) doesn't possess those qualities and therefore is an unfit data set. We should be trying to create the ideal crowd before we can obtain superlative results and not try to get good results from any random crowd.
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Limitations in predictions market are well documented (and include Muhammad's points above), and constrain their practical application to a well-defined number of situation. Crowdsourcing suffers from the same limitations, which is not a problem, as long as you limit its application correspondingly. The problem occur when you stretch it outside the required constraints and yet present the results as "scientific", i.e. as a good proxy for what the crowd thinks. That's what professor Vassilis Kostakos's theory ultimately comes down to (or should - I don't know, I haven't read his report). Apps like Digg or Amazon's review are not scientific applications of crowdsourcing, and thus their results should not be seen as precise representation of our collective thinking.
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Networks are Killing Science - 0 views
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At the heart of scientific thinking has to be a strong desire not to fool yourself, coupled by an understanding of how to actually put that desire into practice.
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this emerging scientific culture that bizarrely believes that if you can produce a model that fits the data that inspired you to build the model, you've actually shown that your model accurately captures the system. This culture floods the scientific literature with zero-impact papers, dazzles the computationally naïve, captures a lot of air time in the news.
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The computer models can be dazzling, but unless they produce a demonstrated string of successes that end up changing the way everyone in the field thinks - the molecular biologists, the sociologists, the economists, then the sciences of complexity will be dismissed as unfruitful. In the end, your model has to inspire a someone to pick up a pipette and design an experiment.
It's Time To Hide The Noise - 5 views
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the noise is worse than ever. Indeed, it is being magnified every day as more people pile onto Twitter and Facebook and new apps yet to crest like Google Wave. The data stream is growing stronger, but so too is the danger of drowning in all that information.
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the fact that Seesmic or TweetDeck or any of these apps can display 1,200 Tweets at once is not a feature, it’s a bug
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if you think Twitter is noisy, wait until you see Google Wave, which doesn’t hide anything at all. Imagine that Twhirl image below with a million dialog boxes on your screen, except you see as other people type in their messages and add new files and images to the conversation, all at once as it is happening. It’s enough to make your brain explode.
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