learning_paradigms:connectivism
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learning_paradigms:connectivism [2011/05/19 12:32] jpetrovic [About connectivism] |
learning_paradigms:connectivism [2011/05/20 11:15] jpetrovic [Read more] |
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| Connectivism((Not to be confused with [[learning_theories:connectionism]].)) is a new learning paradigm and a learning theory introduced in 2004 by [[http://www.educause.edu/Community/MemDir/Profiles/GeorgeSiemens/57433|George Siemens]]. This theory attempts to approach learning and knowledge in context of technological development during the last few decades, since the impact of technological achievements on learning and knowledge cannot be ignored. | Connectivism((Not to be confused with [[learning_theories:connectionism]].)) is a new learning paradigm and a learning theory introduced in 2004 by [[http://www.educause.edu/Community/MemDir/Profiles/GeorgeSiemens/57433|George Siemens]]. This theory attempts to approach learning and knowledge in context of technological development during the last few decades, since the impact of technological achievements on learning and knowledge cannot be ignored. | ||
| - | Motivation for introduction of connectivism comes from Siemens' notion that learning theories in frames of [[learning_paradigms:behaviorism]], [[learning_paradigms:cognitivism]], [[learning_paradigms:constructivism]] (and [[learning_paradigms:humanism]]) promote the understanding that learning occurs only inside a person. | + | Motivation for introduction of connectivism comes from notion that learning theories in frames of [[learning_paradigms:behaviorism]], [[learning_paradigms:cognitivism]], [[learning_paradigms:constructivism]]((and [[learning_paradigms:humanism]])) promote the understanding that learning occurs only inside a person. According to Siemens, |
| - | Siemens' connectivism incorporates ideas from three areas: chaos theory, networks and complexity and self-organization to explain his theory and expands terms of learning and knowledge. Chaos theory idea that minimal change in initial conditions can result in relevant changes in the outcome here refers to the fact that knowledge changes over time and network models were acquired because of their applicability and simplicity. | + | * "//These theories do not address **learning that occurs outside of people** (i.e. learning that is stored and manipulated by technology). They also fail to describe how learning happens within organizations... We can no longer personally experience and acquire learning that we need to act. We derive our competence from **forming connections**.//(([[http://devrijeruimte.org/content/artikelen/Connectivism.pdf|Siemens, G. Connectivism: A Learning Theory for the Digital Age. 2005.]]))" |
| - | Learning is, according to Siemens, "applicable knowledge" that can also reside outside a person (within a database or an organization). He also views on the learning process, in terms of nodes and links between them, as on establishing connections (links) to specialized nodes (information sources). Purpose of connectivist learning is current, up-to-date knowledge, since it can change in time. | + | Siemens' connectivism incorporates ideas from: |
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| + | * **Chaos theory** - Recognizing complex patterns and deep sensitivity on small changes in initial conditions are important properties of learning and decision-making as well as key aspects of chaos theory. | ||
| + | * **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. | ||
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| + | 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: | ||
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| ===== Read more ===== | ===== Read more ===== | ||
| + | [[http://www.connectivism.ca/|Connectivism (George Siemens' blog).]] | ||
learning_paradigms/connectivism.txt · Last modified: 2023/06/19 18:03 (external edit)
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