Seeing Deep Structure From the Interactions of Surface Features.

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Bibliographic Details
Title: Seeing Deep Structure From the Interactions of Surface Features.
Authors: Chi, MicheleneT. H. (AUTHOR), VanLehn, KurtA. (AUTHOR)
Source: Educational Psychologist. 2012, Vol. 47 Issue 3, p177-188. 12p.
Subjects: Transfer of training, Curriculum change, Problem solving research, Metalanguage, Deep structure (Linguistics), Reasoning, Surface structure (Linguistics), Psychology
Abstract: Transfer is typically thought of as requiring individuals to “see” what is the same in the deep structure between a new target problem and a previously encountered source problem, even though the surface features may be dissimilar. We propose that experts can “see” the deep structure by considering the first-order interactions of the explicit surface features and the second-order relationships between the first-order cues. Based on this speculative hypothesis, we propose a domain-specific bottom-up instructional approach that teaches students explicitly to focus on deriving the first-order interactions cues and noticing the second-order relationships among the first-order interaction cues. To do so, researchers and instructional designers need to first extract from experienced solvers or experts how they derive such first-order cues. Transfer is assumed to be based on the similarities in the second-order relationships, which are familiar everyday relationships such as equal to, greater than, and so forth. [ABSTRACT FROM PUBLISHER]
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Database: Psychology and Behavioral Sciences Collection
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Abstract:Transfer is typically thought of as requiring individuals to “see” what is the same in the deep structure between a new target problem and a previously encountered source problem, even though the surface features may be dissimilar. We propose that experts can “see” the deep structure by considering the first-order interactions of the explicit surface features and the second-order relationships between the first-order cues. Based on this speculative hypothesis, we propose a domain-specific bottom-up instructional approach that teaches students explicitly to focus on deriving the first-order interactions cues and noticing the second-order relationships among the first-order interaction cues. To do so, researchers and instructional designers need to first extract from experienced solvers or experts how they derive such first-order cues. Transfer is assumed to be based on the similarities in the second-order relationships, which are familiar everyday relationships such as equal to, greater than, and so forth. [ABSTRACT FROM PUBLISHER]
ISSN:00461520
DOI:10.1080/00461520.2012.695709