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gobibijou

Stephen Downes - 0 views

www.blip.tv/840097

downes elearning education web2.0

shared by gobibijou on 24 Sep 09 - Cached
  • ning 2.0 and the
    • gobibijou
      gobibijou on 24 Sep 09
       
      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
  • 2.0 and the impact of web 2
    • gobibijou
      gobibijou on 24 Sep 09
       
      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
  • gobibijou on 24 Sep 09
     
    downes talking about approaches in education. Web 2.0, elearning...
Ed Webb

Hyperconnectivity and Overuse | TechTicker - 3 views

techticker.net/...hyperconnectivity-and-overuse

techticker timemanagement socialmedia CCK09 connectivism learning

shared by Ed Webb on 10 Oct 09 - Cached
  • If 15 to 17 hours a day spent online experimenting and experiencing is an average time commitment needed for the average academic to come to terms with social media, and understand the potential it has for learning and teaching – and God help us if it is – then the movement is doomed.
  • there is simply not enough flexibility and space allotted for open exploration of emerging technologies during working hours
  • in some regards the emergence of hyperconnectivity arises from working conditions and obstacles to access as much as personal research obsessions.
Asako Yoshida

What is Connectivism trying to be? « Learning Games - 0 views

learninggames.wordpress.com/...t-is-connectivism-trying-to-be

shared by Asako Yoshida on 25 Sep 09 - Cached
  • 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.
  • Minsky concludes that “it makes no sense to seek a single best way to represent knowledge”
Ed Webb

Networks are Killing Science - 0 views

www.scientificblogging.com/...networks_are_killing_science

science method networks complexity

shared by Ed Webb on 28 Aug 09 - Cached
  • 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.
  • 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.
  • 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.
Ed Webb

Free Online Courses, at a Very High Price - Technology - The Chronicle of Higher Education - 3 views

chronicle.com/...48777

open open-ed OCR openaccess distance onlineeducation MIT Yale future Chronice

shared by Ed Webb on 12 Oct 09 - Cached
  • A success for college-made free online courses—except that Mr. Ziegler, who works for a restaurant-equipment company in Pennsylvania, is on the verge of losing his job. And those classes failed to provide what his résumé real ly needs: a college credential.
  • the recession and disappearing grant money are forcing colleges to confront a difficult question: What business model can support the high cost of giving away your "free" content?
  • David Wiley, open education's Everywhere Man
  • ...16 more annotations...
  • The education oracle offers another prophecy for open courseware. "Every OCW initiative at a university that does not offer distance courses for credit," he has blogged, "will be dead by the end of calendar 2012."
  • ventures around the country are seriously exploring new business strategies. For some, it's fund raising à la National Public Radio; for others, hooking open content to core operations by dangling it as a gateway to paid courses.
  • "Given that exclusivity has come to be seen by some as a question of how many students a university can turn away, I don't see what's going to make the selective universities increase their appetite for risking their brands by offering credits for online versions of core undergraduate courses,"
  • the unbundling of higher education.
  • MIT, where students pay about $50,000 a year for a tightly knit package of course content, learning experiences, certification, and social life. MIT OpenCourseWare has lopped off the content and dumped it in cyberspace. Eventually, according to Mr. Carson's take on the unbundling story, online learning experiences will emerge that go beyond just content. Consider Carnegie Mellon University's Open Learning Initiative, another darling of the movement, whose multimedia courses track students' progress and teach them with built-in tutors—no professor required.
  • "Social life we'll just forget about because there's Facebook," Mr. Wiley says. "Nobody believes that people have to go to university to have a social life anymore."
  • Peer 2 Peer University
  • University of the People
  • Western Governors University—a nonprofit, accredited online institution that typically charges $2,890 per six-month term—where students advance by showing what they've learned, not how much time they've spent in class. It's called competency-based education. It means you can fast-forward your degree by testing out of stuff you've already mastered. Some see a marriage of open content and competency-based learning as a model for the small-pieces-loosely-joined chain of cheaper, fragmented education.
  • much open courseware is "lousy,"
  • "There's a pretty significant fraction of the population that learns better with instructor-led kinds of activities than purely self-paced activities,"
  • "It doesn't shift what's happening in some of the very stable traditional institutions of higher education. But there are huge numbers of others who aren't being served. And it's with those that I think we'll begin to see new forms."
  • The model boils down to six words: Do you like this? Enroll now!
  • a Korean university where students competed to produce open lecture notes. The prize was an iPod and lunch with the university president.
  • Carnegie Mellon is trying a different model. When its courses are good enough, with other colleges assigning them as e-textbooks, it asks students to pay a fee as low as $15, says Joel M. Smith, vice provost. "That would be a very, very, very cheap textbook," he says. "If it were used by a large number of colleges and universities, it could sustain the project."
  • the free courses taught him one thing, something important when you've been out of school so long: He can do it. He can follow a Yale class. He has nothing to fear.
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