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Relational rule discovery in complex discrimination learning.
Author(s) -
Hilary Don,
Micah B. Goldwater,
Justine K. Greenaway,
Rosalind Hutchings,
Evan J. Livesey
Publication year - 2020
Publication title -
journal of experimental psychology learning memory and cognition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.758
H-Index - 156
eISSN - 1939-1285
pISSN - 0278-7393
DOI - 10.1037/xlm0000848
Subject(s) - computer science , artificial intelligence , natural language processing , data science
Failure to learn and generalize abstract relational rules has critical implications for education. In this study, we aimed to determine which training conditions facilitate relational transfer in a relatively simple (patterning) discrimination versus a relatively complex (biconditional) discrimination. The amount of training participants received had little influence on rates of relational transfer. Instead, trial-sequencing of the training contingencies influenced relational transfer in different ways depending on the complexity of the discrimination. Clustering instances of relational rules together during training improved transfer of both simpler patterning and more difficult biconditional rules, regardless of individual differences in cognitive reflection. However, blocking all trials of the same type together improved rule transfer only for biconditional discriminations. Individual differences in cognitive reflection were also more predictive of relational rule use under suboptimal training conditions. The results highlight the need for comprehensive accounts of relational learning to consider how learning conditions and individual differences affect the likelihood of engaging in learning relational structures. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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