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Ungor, Metin; Lachnit, Harald – Learning and Motivation, 2008
In a human predictive learning experiment, the strengths of ABA, ABC, and AAB recovery effects after discrimination reversal learning were compared. Initially, a discrimination between two stimuli (X+, Y-) was trained in Context A. During Phase 2, participants received discrimination reversal training (X-, Y+) either in Context A (Group AAB) or in…
Descriptors: Stimuli, Context Effect, Discrimination Learning
Gutierrez, Anibal, Jr.; Hale, Melissa N.; O'Brien, Heather A.; Fischer, Aaron J.; Durocher, Jennifer S.; Alessandri, Michael – Research in Autism Spectrum Disorders, 2009
Discrete trial teaching procedures have been demonstrated to be effective in teaching a variety of important skills for children with autism spectrum disorders (ASD). Although all discrete trial programs are based in the principles of applied behavior analysis, some variability exists between programs with regards to the precise teaching…
Descriptors: Stimuli, Autism, Young Children, Program Effectiveness
Perez-Gonzalez, Luis Antonio; Martinez, Hector – Psychological Record, 2007
Eighteen undergraduates participated in studies designed to examine the factors that produce transfer of contextual functions to novel stimuli in second-order conditional discriminations. In Study 1, participants selected comparison B1 given sample A1 and comparison B2 given sample A2 in a matching-to-sample procedure. Contextual stimuli X1 or X2…
Descriptors: Stimuli, Operant Conditioning, Undergraduate Students, Comparative Analysis
Baeyens, Frank; Vansteenwegen, Debora; Beckers, Tom; Hermans, Dirk; Kerkhof, Ineke; De Ceulaer, Annick – Learning & Memory, 2005
Using a conditioned suppression task, we investigated extinction and renewal of Pavlovian modulation in human sequential Feature Positive (FP) discrimination learning. In Experiment 1, in context a participants were first trained on two FP discriminations, X[right arrow]A+/A- and Y[right arrow]B+/B-. Extinction treatment was administered in the…
Descriptors: Discrimination Learning, Classical Conditioning, Contingency Management, Sequential Learning

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