And while we can see that socio-linguistics is clearly emergent, without reference to specific phenomena that only exist at the social level the ability to understand and explain language change in society becomes quite constrained.
Networked Diversity and "Standards" in Education - 0 views
What is Connectivism trying to be? « Learning Games - 0 views
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Minsky concludes that “it makes no sense to seek a single best way to represent knowledge”
Café Design Principles - 1 views
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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Stephen Downes - 0 views
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ning 2.0 and the
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S. Downes: http://www.blip.tv/file/840097 2 approaches to learning - tradiotional (AI): old artifitial technology. Expert system organises. Old managnement systems. Focus on: - Goal orientated. - Competencies. - Efficency (from A to B in the most efficient). Requieres: - an expert - knowledge representation (VS. Siemens: the knowledge that we have CAN'T be represented) for expl. language -- Problem: it creates a simplification of the knowledge. - learning activities are set up by an expert. -network approach: (???IDF). Conectivism (born 40 years ago Pappert &?). Computational system is NOT set up as a representational system BUT is set up as a NETWORK (like a brain). The connectivist system: - is unnorganized - is unstructured (previously) - looks messy and unorganised - can NOT be predicted HOw Knowledge is represented in the system? DISTRIBUTED. Our concept of X is not a symbolic representation but a set up of active connections also in a neuronal level (?) Model of learning NOt based in deduction and inference BUT on ASSOCIATION based on: - concurrency. - proximity. - back propagation (economics: supply and demand market is based on that) - ???Amealing the way form networks/community in society work in THE SAME WAY that they do in a neuronal level and a personal level. Communities ARE networks that work through distributed connections. How should be the network? - DIVERSITY (wide representation of different points of views) Knowledge in a network is: EMERGENT - AUTONOMY : each individual is self-directed. Each individual works as his own guide. - CONNECTEDNESS (or interactivities). Knowledge produced by mechanism of interaction is produced by the nature/properties of the network. The way/organization of connections are formed is essential. - OPENESS (there's no inside/outside the "system"). Connection FLOWS freely. RECOGNITION of patterns (clustter). LEARNERS: Learners have different things they want to learn and the system
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2.0 and the impact of web 2
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S. Downes: http://www.blip.tv/file/840097 NOtes (need to be double checked) 2 approaches to learning 1. traditional (AI): old artifitial technology. Expert system organises. Old managnement systems. Focus on: - Goal orientated. - Competencies. - Efficency (from A to B in the most efficient). Requieres: - an expert - knowledge representation (VS. Siemens: the knowledge that we have CAN'T be represented) for expl. language -- Problem: it creates a simplification of the knowledge. - learning activities are set up by an expert. 2.-network approach: (???IDF). Conectivism (born 40 years ago Pappert &?). Computational system is NOT set up as a representational system BUT is set up as a NETWORK (like a brain). The connectivist system: - is unnorganized - is unstructured (previously) - looks messy and unorganised - can NOT be predicted HOw Knowledge is represented in the system? DISTRIBUTED. Our concept of X is not a symbolic representation but a set up of active connections also in a neuronal level (?) Model of learning NOt based in deduction and inference BUT on ASSOCIATION based on: - concurrency. - proximity. - back propagation (economics: supply and demand market is based on that) - ???Amealing the way form networks/community in society work in THE SAME WAY that they do in a neuronal level and a personal level. Communities ARE networks that work through distributed connections. How should be the network? - DIVERSITY (wide representation of different points of views) Knowledge in a network is: EMERGENT - AUTONOMY : each individual is self-directed. Each individual works as his own guide. - CONNECTEDNESS (or interactivities). Knowledge produced by mechanism of interaction is produced by the nature/properties of the network. The way/organization of connections are formed is essential. - OPENESS (there's no inside/outside the "system"). Connection FLOWS freely. RECOGNITION of patterns (clustter). LEARNERS: Learners have different thin
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downes talking about approaches in education. Web 2.0, elearning...
Danny Sullivan: Search Wars -- With Bing, Twitter and Facebook, There's More to Searchi... - 0 views
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In fact, Google's not just a habit. It's a virtual best friend for many people. In the past, we depended on friends, family and professionals for advice. These days, we turn to search engines for a range of issues, from deeply personal questions to trivia answers. Google is the leading search engine. Like a best friend, Google always there for us, listening and offering help. Google challengers like Bing are the equivalent of someone you don't know walking up and saying they want to be your new best friend. Thanks, but I'm covered.
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Well, lots of those tweets are actually searches. Many people tweet questions out to their friends, families and others they follow on Twitter. Plenty get back answers, quickly, and from trusted sources. Twitter's not just a new best friend. It's access to hundreds of best friends, for advice.
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Outside of tweeting, there's also Twitter Search itself. Was that an earthquake? Is your cable down? Twitter can tell you answers to such "real time" events even faster than Google.
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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Carsonified » Meet @HelloApp, Making Conferences More Fun - 0 views
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After four tiring-exciting-stressful-fun days, we'd like to introduce you to our new little buddy, HelloApp. The idea is simple: When you arrive at a conference, you just say where you're sitting, via Twitter. Once you do that, you can … 1. Search for people with a certain skill-set (ie PHP, jQuery, CSS3, marketing, etc) and see where they're sitting 2. View the seating diagram colored based on Twitter follower count 3. Search for a specific person in the audience and find out where they're sitting 4. View the seating diagram colored based on whether people are Designers, Developers or Businessmen 5. Earn badges and points by meeting people and completing tasks. If you earn a high enough rank, you'll be able to post public messages to the entire audience and win prizes.
International Network for Social Network Analysis - 0 views
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@valdiskrebs suggested this might be of interest to #CCKers. I joined.
Jimmy Wales: What the MSM Gets Wrong About Wikipedia -- and Why - 0 views
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I believe that the underlying facts about the Wikipedia phenomenon -- that the general public is actually intelligent, interested in sharing knowledge, interested in getting the facts straight -- are so shocking to most old media people that it is literally impossible for them to report on Wikipedia without following a storyline that goes something like this: "Yeah, this was a crazy thing that worked for awhile, but eventually they will see the light and realize that top-down control is the only thing that works."
What is new about Connectivism (rev1) 2009? « Suifaijohnmak's Weblog - 0 views
CCK09 - Connectivism and Connective Knowledge - First hook-up of the group in... - 0 views
Course announcement: - 0 views
Connectivism glossary - Wikiversity - 0 views
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how they differ
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not seeing alot of differences in these terms than sociological terms. I had this same problem last year -- these terms aren't new
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Why is the fact that the terms aren't new create a problem? I guess I'm not seeing the issue with building on existing sociological language if it works.
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The Human News Aggregator: An Interview About NewsMastering With Robin Good - 0 views
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time, but when results do arrive they will be of high value.
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