This link has been bookmarked by 12 people . It was first bookmarked on 12 Jun 2008, by Thieme Hennis.
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- Learning as transfer - implications: knowledge is portable stuff that can be passed around and the learner is a container
- Learning as corrective change - implications: observable behaviors can be changed and the instructor needs to have objectives in terms of the desired end behaviors from the learner
- Learning as computing - implications: the mind is a computer that processes large quantities of data and the learning is a process of reprogramming mental structures, scripts and algorithms
- Learning as building connections - implications: the human brain is like a neural network where learning is the strengthening or weakening of pathways of neurons
- Learning as self-organization - implications: humans are self-organizing adaptive systems that continuously produces its own components and organization in the context of being embodied, and embedded in a culture and history. Learning is the emergence of new knowledge based on all these contextual factors
- Learning as propogation - implications: cultural ideas (”memes”) are transmitted through humans who act as hosts and transmitters of these ideas. Humans are robots under the evolutionary influence of both genes and memes.
- Learning as coordination - implications: knowledge is distributed and doesn’t reside within any individual. It is partially held by each learner, and is found in collective artifacts made through collaboration
- Learning as participation - implications: learning is also distributed, but is found in the social interaction among individual learners. Learning is always associated with a community, and happens through joint action
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13 Jun 08
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12 Jun 08
Thieme Hennisan overview of learning metaphors, and the implications of the metaphors in conversation.
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