Journal
APPLIED COGNITIVE PSYCHOLOGY
Volume 19, Issue 2, Pages 183-204Publisher
WILEY
DOI: 10.1002/acp.1110
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Chunking models offer a parsimonious explanation of how people acquire knowledge and have been validated in domains such as expert behaviour and the acquisition of language. In this paper, we review two computational theories based on chunking mechanisms (the chunking theory and the template theory) and show what insight they offer for instruction and training. The suggested implications include the importance of perception in learning, the cost of acquiring knowledge, the significance of segmenting and ordering instruction material, the role of the variability of the instructional material in acquiring schemata, and the importance of taking individual differences into account. Copyright (c) 2005 John Wiley & Sons, Ltd.
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