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Frank Schirrmacher is interested in George Dyson's comment "What if the price of machines that think is people who don't?" He is looking at how the modification of our cognitive structures is a process that eventually blends machines and humans in a deeper way, more than any human-computer interface could possibly achieve. He's also fascinated in an idea presented a decade ago by Danny Hillis: "In the long run, the Internet will arrive at a much richer infrastructure, in which ideas can potentially evolve outside of human minds." Is this what George Seimens and Stephen Downes have been getting at with connectivism? If so i hadn't been thinking this, i had been taking a more ANT oriented focus where ideas are held within a net, where their 'truth' is created as a condition of that net...but not that they exist in the spaces between... |
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have been doing some blogging at amusingspace about Schirrmacker's provocative discussion (mentioned in the lead post above) ![]() |
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This is also something that I find difficult to tease out in connectivism. This thread last year covered the ground but I am not sure there was a conclusion re connectivism. Another thing that puzzles me is where is the agency in a connectivist network? People are sometimes talked about as nodes, sometimes beings that traverse the network, and sometimes it is knowledge that traverses the network. This could just be that everyone thinks about things in their own way, rather than a lack of clarity in connectivism itself (though I am not sure). I often observe people talking about networks in connectivism as though they were specifically social networks. My other bugbear is the conflation of network behaviour with the firing of neurons, as I think that nodes can be much more complex and do 'more' than fire/connect. |
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Hi all, @ Ailsa Here is my view on learning principles. We are humans, not "non-human", so I would like to see more than just firing of neurons, in the connections, but the establishment of human relationship in networks, in the history of learning. At the end, I like to learn with humans, though often technology is part of that mediation (is it part of ANT??). Agents, actors mean differently to different people. At the other end of the network, it is more than a node, it has feelings, "it" is breathing air and taking water (knowledge), and it lives..and is engaging, interacting. That makes human more than just human, beyond behaviorism. I remember that when I conducted my last class with my learners, especially in my early years of teaching, I always have an emotional response. We have once upon met here together as a learning group or network, and our identities are inscribed in the history of learning. Ten years later, we might still be able to remember each other, as once upon we have been with the same network and learn together. Would networks be forever? Like diamonds are forever, when it comes to collaboration in the networks. Roy: Replicator, host, and everyone of us will become history, but the learning stays forever. ![]() |
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John, thanks for your thoughts on learning principles in your blog. And for the picture (how do you get to embed it here? please tell). For me the difference is that some of us have different stuff to work with, different semiotics. Each of us 'lifts off' (or prizes off) information from the material, to different degrees. Viruses and genes have only the most basic, material semiotic (four protein letters, ACTG, functioning as the information switches in DNA), to work with, spectacular as that is. Animals have zoo-semiotics, essentially communication tools, not fully semiotic, as the material cannot be fully separated from the information. Indication, or 'pointing' for instance, 'sticks' to your hand or finger or eyes if you are glancing in a particular direction, and your ability to 'leave it behind, when you leave' is limited - e.g. ants Humans have socio-semiotics, i.e. fully semiotic tools, in which the material and the information link is entirely separated, in 'arbitrary and conventional' signs. That gives us, uniquely, the possibility of creating new and even unreal meaning and information, and predication. (See the link to Reed at the bottom of the page here). That, in turn, eventually (it takes a few million years) puts us in a position to alter the most basic material semiotic, our own genes, and in a sense to turn the tables on the material. The metaphor I use is that we 'lift off' or 'cut out' meaning from the material, only to re-embed it in the material later on. (See here on dis/embedding). |
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| Dustcube anyone? |
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and in IE Ah ha! this picture, nicked from Ailsa's blog, is a jpeg file, maybe that makes the difference. But how do you re-size it, John? ![]() |
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Asako, "Structural properties take over the logic of understanding the networks/society" - exactly. .
The most incisive analysis of this is in the work of Knorr-Cetina, quoted here in a draft paper .
"‘Lightness’ is one of Knorr-Cetina’s four key characteristics of “recently emerged complex global microstructures” (ibid.), which highlights the radically different notion of global structures that she has in mind. She says that “the mechanisms and structures involved suggest a reversal [a ‘devolution’] of the historical trend towards formal, rationalised (bureaucratic organisational) structures … and appear to facilitate a certain non-Weberian effectiveness [which] relies to a far greater extent than hitherto on the systematic and reflexive use of systems of amplification and augmentation [which] seek to exploit the potential for disproportionalities between input and output or effort and effect” (2005:215-216).
She applies this to global financial systems, and global terrorist networks. .
Question: could it apply equally to other Internet based networks, like learning networks? |









