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Facilitating representation change in insight problems through training.

John Patrick1, Afia Ahmed1

  • 1School of Psychology, Cardiff University.

Journal of Experimental Psychology. Learning, Memory, and Cognition
|September 25, 2013
PubMed
Summary
This summary is machine-generated.

Training effectively helps solve insight problems by improving representation change. This training demonstrated specific transfer, enhancing problem-solving within trained categories.

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Area of Science:

  • Cognitive Psychology
  • Learning Sciences

Background:

  • Representational Change Theory (RCT) explains insight problem-solving through re-encoding mental representations.
  • Ohlsson's (2011) redistribution theory, a spread of activation explanation, is a key component of RCT.
  • Effective training strategies are needed to facilitate representational change for problem-solving.

Purpose of the Study:

  • To investigate the role of training in representational change theory (RCT).
  • To develop novel training manipulations to enhance the re-encoding mechanism in RCT.
  • To improve the solving of verbal insight problems and overcome constraints.

Main Methods:

  • Two experiments were conducted involving training participants to use heuristics for specific problem categories.
  • Concurrent verbal protocols were collected and analyzed to understand problem-solving hypotheses.
  • Training focused on ambiguous word/name problems (Experiment 1) and functional fixedness problems (Experiment 2).

Main Results:

  • Training significantly improved the solution rate for unseen problems within the trained categories.
  • Positive transfer of training effects was specific to the trained problem categories.
  • Analysis of incorrect hypotheses provided evidence for training-induced representational change.

Conclusions:

  • Training is an effective method for inducing representational change, crucial for insight problem-solving.
  • The developed training manipulations successfully enhanced problem-solving abilities.
  • Transfer of training benefits is category-specific, highlighting the targeted nature of representational change.