learning_paradigms:connectivism
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
|
learning_paradigms:connectivism [2011/05/20 10:36] jpetrovic [About connectivism] |
learning_paradigms:connectivism [2011/05/20 11:15] jpetrovic [Read more] |
||
|---|---|---|---|
| Line 14: | Line 14: | ||
| * **Self-organization** - This term usually refers to "//the spontaneous formation of well organized structures, patterns, or behaviors, from random initial conditions.//"(([[http://informatics.indiana.edu/rocha/ps/ises.pdf|Rocha, L. M. Selected self-organization and the semiotics of evolutionary systems. Kluwer Academic Publishers, 1998.]])) Self-organization is according to Siemens a characteristic of knowledge on personal as well as on institutional or corporate level. | * **Self-organization** - This term usually refers to "//the spontaneous formation of well organized structures, patterns, or behaviors, from random initial conditions.//"(([[http://informatics.indiana.edu/rocha/ps/ises.pdf|Rocha, L. M. Selected self-organization and the semiotics of evolutionary systems. Kluwer Academic Publishers, 1998.]])) Self-organization is according to Siemens a characteristic of knowledge on personal as well as on institutional or corporate level. | ||
| * **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 each of such information sources, but on connecting them and maintaining those connections. | ||
| Nodes can represent virtually anything (a community, individual, ...), and the stronger the connection is, the faster the 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' "Connectivism: Learning as Network-Creation", elements and characteristics of a network include: | Nodes can represent virtually anything (a community, individual, ...), and the stronger the connection is, the faster the 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' "Connectivism: Learning as Network-Creation", elements and characteristics of a network include: | ||
| Line 53: | Line 55: | ||
| ===== Read more ===== | ===== Read more ===== | ||
| + | [[http://www.connectivism.ca/|Connectivism (George Siemens' blog).]] | ||
learning_paradigms/connectivism.txt ยท Last modified: 2023/06/19 18:03 (external edit)
Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Share Alike 4.0 International
