If analysis cannot lead to certainty, then how is analysis changed?
Is the PLE a connectivist construct or a constructivist construct? Or both? Or neither, just influenced by many theories? A statement by Wendy Drexler in her paper prompted this question.
Complexity and chaos theory have already generated an impressive literature, and a specialised vocabulary to match. This introduction can, at most, sketch in the general area of intellectual activity, and hope to draw the sting of the terminology.
If analysis cannot lead to certainty, then how is analysis changed?
Connectivism, "a learning theory for the digital age," has been developed by George Siemens and Stephen Downes based on their analysis of the limitations of behaviourism, cognitivism and constructivism to explain the effect technology has had on how we live, how we communicate, and how we learn.
Sebastian Seung is mapping a massively ambitious new model of the brain that focuses on the connections between each neuron. He calls it our "connectome," and it's as individual as our genome -- and understanding it could open a new way to understand our brains and our minds.
An ongoing debate has ensued around the status of George Siemens' (2004) connectivism theory and Stephen Downes’ (2006) connected knowledge theory as learning theories for the network age (Kop & Hill, 2008).
Maintaining that learning theories should be reflective of underlying social environments, Siemens (2004) describes the limitations of behaviorism, cognitivism, and constructivism (and the epistemological traditions which underpin them - objectivism, pragmatism and interpetivism - and their representations of what is reality and knowledge) to introduce connectivism as 'a learning theory for the digital age.'
At its heart, connectivism is the thesis that knowledge is distributed across a network of connections, and therefore that learning consists of the ability to construct and traverse those networks.
a critical question: what is the unique idea in connectivism?
So what distinguishes a connectivist perspective from social constructivism? The difference is fairly subtle. As far as I can see, connectivism resonates with similar principles as social constructivism does, but acknowledges a greater degree of complexity in the nature of knowledge and learning, enabled by advances in technology.
As I begin a class on a learning theory referred to as Connectivism, I consider how greatly our collective abilities to access to information have transformed in recent years, while our teaching methods in the university environment have barely changed at all. I ponder how much more advanced our abilities are to locate and share information, while our educational methods in the university setting have barely progressed beyond the overhead projector.
We are living in the middle of a revolution in consciousness. Over the past few decades, geneticists, neuroscientists, psychologists, sociologists, economists, and others have made great strides in understanding the inner working of the human mind. Far from being dryly materialistic, their work illuminates the rich underwater world where character is formed and wisdom grows. They are giving us a better grasp of emotions, intuitions, biases, longings, predispositions, character traits, and social bonding, precisely those things about which our culture has least to say. Brain science helps fill the hole left by the atrophy of theology and philosophy.
The purpose of this paper is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge - and therefore the learning of knowledge - is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with a knowing community. And another part of this thinking is centered around the new, and the newly empowered, learner, the member of the net generation, who is thinking and interacting in new ways. These trends combine to form what is sometimes called 'e-learning 2.0'—an approach to learning that is based on conversation and interaction, on sharing, creation and participation, on learning not as a separate activity, but rather, as embedded in meaningful activities such as games or workflows.
What we're seeing the emergence of the personalized web, the interactive web, web 2.0, or e learning 2.0. And the question that faces us typically is how should the learning sector, how should we respond. And the short version of that is very badly so far. I've been struck by the oddity because I've gone from place to place, college to college, school to school and I find that most of the technologies that I'm talking about and I want to demonstrate and show people are blocked.
Roy studies how we acquire language and how language spreads through a social network. Demonstrates that meaning is attached to place not just to our brains: the pattern echoes outside our heads.
If business happens through networking, then what should I be doing to help my students understand both why, and how, to network? Do I have an obligation to teach the importance of networking to students in my English courses, or can I safely leave that lesson to my colleagues in the business department?
This is a fine article by an English prof at a small liberal arts college who is becoming convinced that business-style networking is the key to his and his school's survival.
A video about Connectivism and Web 2.0 tools.
This paper therefore proposes a research framework for connectivism that integrates approaches commonly used in online learning environments. The paper integrates the theories of online communities of practice, design-based research, and activity theory to construct a research framework that is characterised by a synergistic relationship between them.
"Necessarily" seems a bit strong.