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Related Experiment Video

Updated: Apr 10, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
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No Evidence of Transfer of Learning Between Problem-Solving Tasks Using Different Transformation Rules.

George Gabriel1, Faisal Mushtaq1,2

  • 1School of Psychology, University of Leeds, Leeds, UK.

Open Mind : Discoveries in Cognitive Science
|April 9, 2026
PubMed
Summary
This summary is machine-generated.

Training problem-solving skills effectively requires maximizing learning transfer. This study found that while training improved performance on practiced tasks, it did not reliably transfer to new, untrained problem domains.

Keywords:
longitudinal studyproblem solvingskill learningstring transformationworking memory

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Area of Science:

  • Cognitive Psychology
  • Artificial Intelligence
  • Educational Technology

Background:

  • Growing demand for problem-solving skills necessitates efficient training methods.
  • Maximizing cross-domain learning transfer is key to efficient problem-solving skill training.
  • Current models offer contrasting predictions on the possibility of cross-domain transfer.

Purpose of the Study:

  • To investigate the extent of cross-domain transfer in problem-solving skills.
  • To compare training outcomes with predictions from pattern-recognition and heuristic search models.
  • To explore factors influencing transfer, such as strategy use.

Main Methods:

  • Participants underwent four days of training on transformation problem-solving tasks with distinct rule sets.
  • Pre- and post-training probes were administered on an untrained set of tasks.
  • Participant strategies and decision-making processes were analyzed.

Main Results:

  • Training significantly improved solution rate, efficiency, and decision speed on practiced tasks.
  • No reliable performance improvements were observed on untrained tasks beyond direct practice effects.
  • Explicit deliberation strategies were associated with better decision-making.

Conclusions:

  • The study found a lack of significant cross-domain transfer, contradicting heuristic search models.
  • Absence of transfer suggests limitations in current models and implications for training methodologies.
  • Further research is needed to understand and enhance problem-solving skill transfer.