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Related Experiment Video

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Relational discovery in category learning.

Micah B Goldwater1, Hilary J Don1, Moritz J F Krusche2

  • 1School of Psychology, The University of Sydney.

Journal of Experimental Psychology. General
|January 9, 2018
PubMed
Summary

Understanding relational categories aids knowledge transfer, overcoming the inert knowledge problem. Inference-learning effectively promotes this relational discovery and transfer, even for students not naturally inclined towards it.

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Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Learning Sciences

Background:

  • Learning categories based on relations, not just surface features, facilitates knowledge transfer to new contexts.
  • Correlated, nonessential surface features can distract from relational category learning, contributing to the inert knowledge problem.
  • The inert knowledge problem describes students' failure to apply learned knowledge outside the classroom.

Purpose of the Study:

  • To identify task parameters and learner differences that promote focus on relational aspects of categories.
  • To foster transfer of knowledge to novel, dissimilar exemplars.
  • To investigate methods for overcoming distractions from nonessential surface features in category learning.

Main Methods:

  • Experiments using artificial categories with correlated surface features and relational patterns.
  • Manipulation of task structures, such as the sequence of learning exemplars.
  • Assessment of learner strategies, including rule discovery versus exemplar focus.
  • Implementation of an "inference-learning" paradigm with incomplete exemplars.

Main Results:

  • Task structure effectiveness is contingent on learner strategies; rule-oriented learners benefit differently from exemplar-oriented learners.
  • Inference-learning significantly promotes relational discovery and knowledge transfer.
  • Inference-learning is effective even for learners not predisposed to relational discovery.

Conclusions:

  • Learner strategies and task design interact to influence relational category learning and knowledge transfer.
  • Inference-learning offers a promising approach to enhance relational understanding and combat the inert knowledge problem.
  • Educational interventions should consider both task structure and learner-specific strategies to improve knowledge application.