Learning Networks and Connective Knowledge
In Harrison Hao Yang & Steve Chi-Yin Yuen (eds.), Collective Intelligence and E-Learning 2.0: Implications of Web-Based Communities and Networking. IGI Global (2010)
| Abstract | The purpose of this chapter 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. | |||||||||
| Keywords | learning networks knowledge | |||||||||
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Enrico Blanzieri (1997). Dynamical Learning Algorithms for Neural Networks and Neural Constructivism. Behavioral and Brain Sciences 20 (4):559-559.
Stellan Ohlsson (1997). Old Ideas, New Mistakes: All Learning is Relational. Behavioral and Brain Sciences 20 (1):79-80.
Daniel John Zizzo (2000). Implicit Learning of (Boundedly) Rational Behaviour. Behavioral and Brain Sciences 23 (5):700-701.
James Blackmon, David Byrd, Robert C. Cummins, Pierre Poirier & Martin Roth (2005). Atomistic Learning in Non-Modular Systems. Philosophical Psychology 18 (3):313-325.
Effie Maclellan (2005). Conceptual Learning: The Priority for Higher Education. British Journal of Educational Studies 53 (2):129 - 147.
Pierre Poirier (2005). Atomistic Learning in Non-Modular Systems. Philosophical Psychology 18 (3):313-325.
Jean Pierre Changeux, Philippe Courrège & Antoine Danchin (1973). A Theory of the Epigenesis of Neuronal Networks by Selective Stabilization of Synapses. Proceedings of the National Academy of Sciences USA 70 (10):2974-8.
Sunbin Song, Howard Jr, James H. & Darlene V. Howard (2007). Implicit Probabilistic Sequence Learning is Independent of Explicit Awareness. Learning and Memory 14 (1-6):167-176.
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