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Tool to analyze forum conversations in an LMS, create network diagrams, and identify behavior patterns.
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SNAPP uses information on who posted and replied to whom, and what major discussions were about, and how expansive they were, to analyse the interactions of a forum and display it in a Social Network Diagram.
Paper arguing that CMSs make online learning less effective. The authors propose an Open Learning Network as an alternative, a cross between the traditional CMS and a PLE.
Power laws describing how networks and social networking work, some supported by research, some simply observations of human behavior
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Amara’s Law (backstory) states that “we tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.”
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11. Metcalfe’s Law
This was the original conception of network effects, whereby the potential value of a network grows exponentially according to its size.
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Long paper by Stephen Downes on the nature of knowledge, connectivism, learning, and e-learning 2.0
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Add Sticky NoteIn other words, cognitivists defend an approach that may be called ‘folk psychology’. “In our everyday social interactions we both predict and explain behavior, and our explanations are couched in a mentalistic vocabulary which includes terms like ‘belief’ and ‘desire’.” The argument, in a nutshell, is that the claims of folk psychology are literally true, that there is, for example, an entity in the mind corresponding to the belief that 'Paris is the capital of France', and that this belief is, in fact, what might loosely be called 'brain writing' - or, more precisely, there is a one-to-one correspondence between a person's brain states and the sentence itself.
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Christy Tucker on 2009-10-06I've never heard cognitivism compared to "folk psychology" before. I'm not totally convinced by this argument. Cognitivist methods do have some research support, after all. (Think multimedia learning, Clark & Mayer's "ELearning and the Science of Instruction.") But their methods could (at least sometimes) be right even if their explanation of the underlying mechanism is wrong.
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Add Sticky NoteWe may contrast cognitivism, which is a causal theory of mind, with connectionism, which is an emergentist theory of mind. This is not to say that connectionism (see also) does away with causation altogether; it is not a ‘hand of God’ theory. It allows that there is a physical, causal connection between entities, and this is what makes communication possible. But where it differs is, crucially: the transfer of information does not reduce to this physical substrate. Contrary to the communications-theoretical account, the new theory is a non-reductive theory. The contents of communications, such as sentences, are not isomorphic with some mental state.
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Christy Tucker on 2009-10-06From Wikipedia: "A property of a system is said to be emergent if it is more than the sum of the properties of the system's parts." If I understand Stephen's argument correctly, part of what he's saying here is that rather than knowledge being exactly what we perceive it to be (a sentence like "Paris is a city in France"), what's happening in our brains is more than that. When a teacher shares knowledge with a learner, it doesn't work like a copy machine where the teacher gives the learner a duplicate of the original and then both people have discrete copies of that knowledge.
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A one-page explanation of social networks, defining actors, relations, and ties
Networked learning can't be assessed the same way as traditional, formal learning (or if it can, we wouldn't measure the real value that way). So what do you measure? This is a starting point.
Report from the National Council of Teachers of English with a call to action to teach writing appropriately for the 21st century. Writing now often happens outside school in social spaces where people learn informally through their peers. Includes an overview of how writing has been viewed historically and how that has affected how we teach writing.
"Writing has never been accorded the cultural respect or the support that reading has enjoyed, in part because through reading, society could control its citizens, whereas through writing, citizens might exercise their
own control."
"Writing has historically and inextricably been linked to testing."
"In much of this new composing, we are writing to share, yes; to encourage dialogue, perhaps; but mostly, I think, to participate."
"First, we have moved beyond a pyramid-like, sequential model of literacy development in which print literacy comes first and digital literacy comes second and networked literacy practices, if they come at all, come third and last."
Another set of notes from Nancy White's discussion for CCK08. Where my notes focused heavily on what Nancy and Stephen was saying, Diego did a much better job of capturing and summarizing the chat conversation.
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When you think of yourself as a learner, you begin to act as one, and suddenly all the potential of networks and online information begins to make sense
IRRODL article on connectivism, looking at its connections to past theories and critics. The authors conclude that while education is undergoing signficant changes, connectivism isn't different enough to be a learning theory on its own. However, they say it does have an important role to play in education as learners gain more independent control.
Looking at power and leadership, especially how power works within networks as opposed to groups or as individuals. Includes a nice list of principles for leadership in networks from Paul Skidmore.
Full quote from Ton Zijlstra on information overload, in the original interview about the value of social media and networking
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Information overload does not exist. Failing information strategies do exist. We were brought up with information strategies based on scarcity. We live in times of information abundance.
An interesting idea for a learning strategy--we read so much online from people who are like us and agree with us that when you read something that makes you disgruntled, it may be a cue to dig deeper. Includes a good quote from Ton Zijlstra (via Harold Jarche) about information overload.
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A little while ago, Harold Jarche sent this quotation: “”Information overload does not exist. Failing information strategies do exist. ”
An idea for how to move towards networked learning: start with groups, which will initially be more comfortable and less chaotic, then gradually increase the freedom to learning in networks.
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Once students get the hang of groups online, just like any mother bird, the teacher needs to slowly start pushing them out of the nest. And I do not mean anywhere near Middle School. Most of the students in a school will be ready for this kind of experience nearing High School, and I believe this age will slowly lower as time passes and this form of education becomes more common.
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The process of moving the students forward from a group setting to a network will be required, so will an educator familiar with both. For this process to properly occur, curriculum will need to be specifically designed and implemented, taking into account, emerging technologies and student safety within an online environment.
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Transcript of a talk about the differences between groups and networks. Downes situates networks between individuals and groups, as a place where individuals are associated and connected but more diverse than groups. Interesting ideas for assessment and supporting diversity.
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Those of you who've taken political science know that all of human history in political science is the division between the individual and the state. Right? The person and the group, right? And these are the two divides. And the whole purpose of politics is to find some sort of accommodation for them or if you're Ayn Rand, to favor the individual and ignore the group.
And it seems to me that networks offers that middle way. Networks offers that path that isn't the individual and isn't the group, doesn't force you to choose between the individual and the group. -
But more or less, a group is a collection of entities or members according to their nature or their feature or their properties or whatever, their essential nature, maybe, their accidental nature, maybe, whatever, but according to their nature. What defines a group is the quality the members possess in common and then the number of members in that group. Groups are about nature, they're about quality, they're about mass. They're about number.
A network, by contrast, is an association â I use that word very precisely â an association of entities or members where this association is facilitated or created by a set of connections between those entities. And if you say, "Well what is a connection?" A connection is merely some conduit along which a signal can run. Well, that clarified it, didn't it? What defines a network is the nature and the extent of this connectivity. The nature and the extent to which these individuals are connected together. - 3 more annotation(s)...
Stephen Downes summarizes week 2 of CCK08, including a description of how different the discussions in Moodle and on the blogs are. The Moodle discussion has become very angry and dominated by a handful of people, while the blogs show much more diversity in perspectives.
Stephen Downes on connective knowledge. This starts with qualitative and quantitative as two types of knowledge recognized historically, continuing with some history of philosophical positions on types of knowledge. Downes argues that connective knowledge is not either empirical or rationalist, but a third type of knowledge. He uses a metaphor of carbon in different forms: carbon atoms connected differently can be coal, graphite, or diamonds. It's the same atoms, but the connections are different.
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So, connective knowledge is knowledge OF the connections that exist in the world. It is knowledge about how such connections are created, and what impact, or effect, such a system of connections has.
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So we have two types of connective knowledge, the knowledge that we have OF networks, that we obtain by looking at networks, and knowledge that is created and stored BY networks in the world.
Summary: Connective knowledge is both:
- knowledge OF networks in the world
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An answer to the question "What is Connectivism?" Rather than going for a fixed definition within the framework of a learning theory, the author argues that connectivism is an emerging concept best understood by looking at how it connects to other ideas and theories. The central metaphor of the network is the unifying element of connectivism.
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Downes’ and Siemens’ discussions shed new light on fundamental concepts, such as rules versus patterns, complicated vs. complex, equivalence vs. similarity, and coping with ambiguity and uncertainty. And these consideration render many entrenched practices of the entire knowledge industry questionable.
All these aspects have one thing in common: that they can be illustrated by the neuronal metaphor, the metaphor of a network with nodes and connections, where
“Not all connections are of equal strength in this metaphor” (Wikipedia)
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So, connectivism and its neuronal connections metaphor, allow to distinguish more clearly between two types of knowledge, one of which is the more adequate one for coping with complexity and uncertainty: connective knowledge.
George Siemens on how connectivism differs from constructivism and other learning theories, starting from the point that "a new idea is often an old idea in today's context."
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Connectivism is the application of network principles to define both knowledge and the process of learning. Knowledge is defined as a particular pattern of relationships and learning is defined as the creation of new connections and patterns as well as the ability to maneuver around existing networks/patterns.
Network analysis in online discussions in two classes shows, not surprisingly, that asking probing questions and challenging posts results in more learner engagement than simple "cheerleading" posts like "Great job!"
Collaboration in the workplace doesn't need to just be the formal, structured, team-based approach. This whitepaper also described "community collaboration," where people focus on learning rather than tasks and "network collaboration," such as the loose networks formed through social media. Includes a checklist for how collaborative an organizational culture is.
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