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Initial judgment of solvability in non-verbal problems – a predictor of solving processes

  • Tirza LautermanEmail author
  • Rakefet Ackerman
Article

Abstract

Meta-reasoning refers to processes by which people monitor problem-solving activities and regulate effort investment. Solving is hypothesized to begin with an initial Judgment of Solvability (iJOS)—the solver’s first impression as to whether the problem is solvable—which guides solving attempts. Meta-reasoning research has largely neglected non-verbal problems. In this study we used Raven’s matrices to examine iJOS in non-verbal problems and its predictive value for effort investment, final Judgment of Solvability (fJOS), and confidence in the final answer. We generated unsolvable matrix versions by switching locations of elements in original Raven’s matrices, thereby breaking the rules while keeping the original components. Participants provided quick (4 s) iJOSs for all matrices and then attempted to solve them without a time limit. In two experiments, iJOS predicted solving time, fJOS, and confidence. Moreover, although difficulty of the original matrices was dissociated from solvability, iJOS was misled by original matrix difficulty. Interestingly, when the unsolvable matrices were relatively similar to the originals (Experiment 2), iJOSs were reliable, discriminating between solvable and unsolvable matrices. When the unsolvable matrices involved greater disruption of the rules (Experiment 1), iJOS was not consistently predictive of solvability. This study addresses a gap in meta-reasoning research by highlighting the predictive value of iJOS for the solving processes that follow. The study also provides many future directions for meta-reasoning research in general, and regarding non-verbal problems, in particular.

Keywords

Meta-reasoning Metacognition Problem solving Raven’s matrices Monitoring and control 

Notes

Acknowledgments

The study was supported by a grant from the Israel Science Foundation (Grant No. 234/18). We thank Yael Sidi for valuable feedback on an early version of the paper and to Meira Ben-Gad for editorial assistance.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Industrial Engineering and ManagementTechnion—Israel Institute of TechnologyHaifaIsrael

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