learning_paradigms:connectivism
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learning_paradigms:connectivism [2011/05/27 12:47] jpetrovic [About connectivism] |
learning_paradigms:connectivism [2011/05/30 09:37] jpetrovic [About connectivism] |
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| * **Networks** - Network models were acquired because of their applicability and simplicity. Networks are sets of relations between elements which integrate those elements into a whole. | * **Networks** - Network models were acquired because of their applicability and simplicity. Networks are sets of relations between elements which integrate those elements into a whole. | ||
| - | Connectivism integrates these principles. Learning is defined as **actionable knowledge** which can reside in a person but also outside one, for example in a database or organization. The process of learning is focused not on acquiring more knowledge into or from each of such information sources, but on connecting them and maintaining those connections. | + | Connectivism integrates these principles. Learning is defined as **actionable knowledge** which can reside in a person but also outside one, for example in a database or an organization. The process of learning is focused not on acquiring more knowledge into or from each of such information sources, but on **connecting** them **and maintaining those connections**. Connection forming is important since the body of knowledge is nowadays rapidly changing and the common approach of a structured course in which packed knowledge is transferred to students is not efficient anymore. It serves institutions, but not students. |
| Connections are formed between nodes, but also between networks of nodes. Nodes can represent virtually anything, like a community or an individual, and the stronger the connection is, the faster information will flow between the nodes. Aggregated nodes form the network, but the network itself can only have limited influence on the nodes. According to Siemens(([[http://www.astd.org/LC/2005/1105_seimens.htm|Siemens, G. Connectivism: Learning as Network-Creation - ASTD. 2005.]])), elements and characteristics of a network include: | Connections are formed between nodes, but also between networks of nodes. Nodes can represent virtually anything, like a community or an individual, and the stronger the connection is, the faster information will flow between the nodes. Aggregated nodes form the network, but the network itself can only have limited influence on the nodes. According to Siemens(([[http://www.astd.org/LC/2005/1105_seimens.htm|Siemens, G. Connectivism: Learning as Network-Creation - ASTD. 2005.]])), elements and characteristics of a network include: | ||
learning_paradigms/connectivism.txt ยท Last modified: 2023/06/19 18:03 (external edit)
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