Recombinative generalization is a generative outcome that involves responding to novel stimulus combinations, and it can be facilitated through an instructional approach called matrix training. A learner's history with constituent stimuli and the arrangement of combination stimuli within the instructional matrix may affect the likelihood of recombinative generalization. To investigate this further, the current project assessed recombinative generalization with novel combinations of abstract stimuli by programming specific training histories for undergraduate student participants. The matrix training conditions were: (a) trained constituents with overlap training, (b) untrained constituents with overlap training, (c) trained constituents with nonoverlap training, and (d) untrained constituents with nonoverlap training. We evaluated whether and the extent to which recombinative generalization occurred in each matrix training condition in comparison to a condition that included training the constituents and providing a word-order rule. Finally, we compared the training trials in experimental conditions to directly training all constituents and combinations. The results suggested both overlap conditions and the trained constituents with nonoverlap condition produced recombinative generalization, and the trained constituents with nonoverlap condition was the most efficient. These results could inform the training order and stimulus arrangements practitioners employ to program for recombinative generalization.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1703398 |
| Date | 05 1900 |
| Creators | Durham, Rebecca |
| Contributors | Bergmann, Samantha, Toussaint, Karen A., Ortu, Daniele |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | vi, 55 pages, Text |
| Rights | Public, Durham, Rebecca, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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