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Predicting transfer from training performance.

C P Speelman1, K Kirsner

  • 1School of Psychology, Edith Cowan University, Australia. c.speelman@cowan.edu.au

Acta Psychologica
|November 6, 2001
PubMed
Summary
This summary is machine-generated.

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Skill improvement on training tasks predicts transfer task performance. While initial transfer may show disruption due to task changes, old skills continue to improve, with disruptions linked to task complexity and reconceptualization.

Area of Science:

  • Cognitive Psychology
  • Human Performance

Background:

  • Investigating the transfer of learned skills to new tasks is crucial for understanding learning.
  • Theories suggest skills improve continuously, even when applied in novel contexts.

Purpose of the Study:

  • To determine if training task improvement predicts transfer task performance.
  • To evaluate if skills continue to improve in new tasks as if conditions remained unchanged.

Main Methods:

  • Three experiments were conducted to test the proposition of continuous skill improvement during transfer.
  • Response times and accuracy were measured during training and transfer tasks of varying complexity.

Main Results:

  • Initial performance on transfer tasks was slower than predicted, indicating disruption.

Related Experiment Videos

  • Disruption was greater with increased task complexity.
  • Response times eventually returned to predicted levels, and accuracy was unaffected.

    • Conclusions:

    • Old skills do continue to improve in new tasks, aligning with theoretical predictions.
    • Disruptions during skill transfer are temporary and related to the cognitive overhead of task reconceptualization, particularly with increased complexity.