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Lisa Durff

Here we are…there we are going « Connectivism - 0 views

www.connectivism.ca/?p=151

siemens education future OER openness connectivism connectiveknowledge

shared by Lisa Durff on 14 Aug 09 - Cached
  • Learning consists of weaving together coherent (personal) narratives of fragmented information. The narrative can be now created through social sensemaking systems (such as blogs and social networks), instead of centrally organized courses. Courses can be global, with many educators and participants (i.e. CCK08). Courses, unlike universities, are not directly integrated into the power system of a society. Can decentralized networks of autonomous agents serve the same function as organized institutions? But who loses, and what is lost, if the teaching role of universities decline?
    • Lisa Durff
      Lisa Durff on 31 Dec 09
       
      So learning is developing a story from one's schema of a thing!
    • Lisa Durff
      Lisa Durff on 31 Dec 09
       
      "But who loses, and what is lost, if the teaching role of universities decline?" My concern surrounds the word teaching. Who said that is their primary role? Isn't it licensing, formally sanctioning persons so they can enter the world of work with the "proper" credentials? Did you learn anything in your college days?
    • Lisa Durff
      Lisa Durff on 31 Dec 09
       
      So what really needs to change is not the university, but the culture it serves...
  • The virtues that a society finds desirable are systematized in its institutions. However futile this activity, it helps society, and media, to hold people accountable, to devise strategies, and create laws so people feel safe. Similarly, results that are desirable (financial, educationally, etc) are systematized to ensure the ability to manage and duplicate results. I shared some thoughts on this systematization last year as a reason for the currently limited impact of personal learning environments (PLEs). Quite simply, even revolutionaries conserve.
  • Teaching is what is most at risk. Can a social network - loosely connected, driven by humanistic ideals - serve a similar role to what university classrooms serve today? I hope so, but I don’t think so. At least not with our current mindsets and skillsets. We associate with those who are similar. We do not pursue diversity. In fact, we shy away from it. We surround ourselves with people and ideas that resonate with our own, not with those that cause us stress or internal conflict. Secondly, until all of society becomes fully networked (not technologically networked, but networked on the principles of flows, connections, feedback), a networked entity always risks being subverted by hierarchy. Today, rightly or wrongly, hierarchy holds power in society.
    • Gina Minks
      Gina Minks on 14 Aug 09
       
      What if the social network serves to exlude information from other groups? Who can fight against disenfranchisement if no one can see it any more because its filtered away?
  • Ed Webb on 14 Aug 09
     
    Oh, George, so gloomy!
Ed Webb

International Network for Social Network Analysis - 0 views

www.insna.org/index.html

connectivism connectiveknowledge networks krebs INSNA

shared by Ed Webb on 21 Sep 09 - No Cached
  • Ed Webb on 21 Sep 09
     
    @valdiskrebs suggested this might be of interest to #CCKers. I joined.
Ed Webb

Gin, Television, and Social Surplus - Here Comes Everybody - 1 views

www.shirky.com/...looking-for-the-mouse.html

technology web2.0 shirky Culture future Media sociology history connectiveknowledge crowdsourcing networks

shared by Ed Webb on 28 Sep 09 - Cached
  • television watching? Two hundred billion hours, in the U.S. alone, every year. Put another way, now that we have a unit, that's 2,000 Wikipedia projects a year spent watching television. Or put still another way, in the U.S., we spend 100 million hours every weekend, just watching the ads.
  • The physics of participation is much more like the physics of weather than it is like the physics of gravity. We know all the forces that combine to make these kinds of things work: there's an interesting community over here, there's an interesting sharing model over there, those people are collaborating on open source software. But despite knowing the inputs, we can't predict the outputs yet because there's so much complexity.
  • The normal case of social software is still failure; most of these experiments don't pan out. But the ones that do are quite incredible
  • ...3 more annotations...
  • It's better to do something than to do nothing. Even lolcats, even cute pictures of kittens made even cuter with the addition of cute captions, hold out an invitation to participation. When you see a lolcat, one of the things it says to the viewer is, "If you have some sans-serif fonts on your computer, you can play this game, too." And that's message--I can do that, too--is a big change.
  • media is actually a triathlon, it 's three different events. People like to consume, but they also like to produce, and they like to share.
  • Here's something four-year-olds know: A screen that ships without a mouse ships broken. Here's something four-year-olds know: Media that's targeted at you but doesn't include you may not be worth sitting still for. Those are things that make me believe that this is a one-way change. Because four year olds, the people who are soaking most deeply in the current environment, who won't have to go through the trauma that I have to go through of trying to unlearn a childhood spent watching Gilligan's Island, they just assume that media includes consuming, producing and sharing.
Ed Webb

Neuro-tweets: #hashtagging the brain - Research - University of Cambridge - 4 views

www.cam.ac.uk/...o-tweets-hashtagging-the-brain

neuroscience twitter networks connectivism connectiveknowledge

shared by Ed Webb on 20 Jun 11 - No Cached
  • human brain networks represent a balance between high efficiency of information transfer and low connection cost
  • Members of the audience and other Twitter users were asked to tweet during the lecture about the concepts that were being discussed, using the hashtag #csftwitterbrain. At the end of the talk Professor Bullmore displayed the resulting image showing the interconnectivity of the hashtagged tweets, and explained how Twitter networks can be compared to the human brain network. “We found that the #twitterbrain network was somewhat like the brain network in being small-world and modular with highly connected hub nodes; however the brain network was more clustered and less efficient than the twitter network. So at first sight there were some points in common and some points of difference between these two information processing networks.”
  • “It has been intriguing to see the spectacle of watching the twitter network grow or evolve over the course of several days. And I have learnt a lot about the power of new media to engage and communicate, and the potential scientific value of using Twitter to map and measure social networks.”
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