Literature DB >> 24203738

The effect of problem size on representation in deductive problem solving.

J M Polich1, S H Schwartz.   

Abstract

Adult Ss attempted to solve logical deductive reasoning problems that varied systematically in amount of information presented. Methods Ss employed in representing the problem were classified into five main types or modes. The proportion of Ss using a matrix mode of problem representation increased moderately with problems containing large amounts of information. The performance of Ss using a matrix mode of representation suggested that this advantage is related to ease of applying and/or storing the results of logical operations in such a problem space rather than to any facilitative effects of encoding processes. Specific limits to normal processing are hypothesized.

Year:  1974        PMID: 24203738     DOI: 10.3758/BF03198139

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  3 in total

1.  Integration of information during problem solving due to a meaningful context of learning.

Authors:  R E Mayer
Journal:  Mem Cognit       Date:  1976-09

2.  Comprehension as affected by structure of problem representation.

Authors:  R E Mayer
Journal:  Mem Cognit       Date:  1976-05

3.  Problem representation: the effects of spatial arrays.

Authors:  C McGuinness
Journal:  Mem Cognit       Date:  1986-05
  3 in total

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