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?
Here we are…there we are going « Connectivism - 0 views
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So learning is developing a story from one's schema of a thing!
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"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?
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So what really needs to change is not the university, but the culture it serves...
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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.
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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.
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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?
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Oh, George, so gloomy!
Real-time web and management cybernetics | Teemu Arina - 0 views
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"nd interpreted by every employee (and customer) to lesser or greater extent."
Why Twitter "Lists" Change Everything - Dave Troy: Fueled By Randomness - 0 views
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traditional “follower counts” are going to be meaningless – instead of “followers” people are going to start talking about “direct followers,” “indirect followers,” and “being listed.” It’s all changing, and I applaud Twitter for being willing to throw the old (flawed) assumptions about follower economics entirely out the window in favor of a new approach.
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Going forward, the primary question will be which specific lists you appear on (influence of curator, quality, scarcity) and, secondarily, how many lists you appear on (reach, influence).
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Twitter is doing this thing, and whatever Twitter does in house trumps anything that a third party developer might do, period. So, stuff like WeFollow, etc, your brother’s cool thing he’s making, Twitter directories: they are done, people. Or these external things must at least accept the reality of Lists and what they mean to the ecosystem.
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via @craignewmark via @cheekygeeky from @davetroy
Café Design Principles - 1 views
Mooc creators criticise courses' lack of creativity | News | Times Higher Education - 2 views
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They've even got the history right! :-)
Are Connections intentional ? - 20 views
Hello there: for me it is hard to believe that there's no intention, I mean, even if we don't know where a connection will take us, or we haven't thought about having or getting to that connection ...
lin armstrong from coventry england - 9 views
I really worked on the CCK08 and got a certificate -not very glam no hologram etc but this is my year to relax ,take a leisurely read and interest. i blog at http://linarmstrong.posterous.com/ a...
Networked Diversity and "Standards" in Education - 0 views
What is Connectivism trying to be? « Learning Games - 0 views
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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.
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Minsky concludes that “it makes no sense to seek a single best way to represent knowledge”
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...
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