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Erin L. Sainsbury; Tina M. Sidener; Catherine Taylor-Santa; Kenneth F. Reeve; David W. Sidener – Journal of Applied Behavior Analysis, 2024
We evaluated the effects of a discrimination training procedure for establishing praise as a reinforcer for three children with autism spectrum disorder. After establishing two praise words as discriminative stimuli and two nonsense words as S-deltas, we evaluated whether the stimuli then functioned as reinforcers by presenting each stimulus as a…
Descriptors: Discrimination Learning, Training, Learning Processes, Positive Reinforcement
Goldstein, Sondra Blevins; Siegel, Alexander W. – 1971
Eighty-four nine year old children, twelve in each of seven experimental groups, learned a two-choice successive discrimination problem. The parameters that were systematically manipulated included: (1) immediate versus delayed reinforcement; and (2) forced preresponse stimulus exposure versus stimulus exposure during the delay interval,…
Descriptors: Discrimination Learning, Learning, Learning Processes, Perception
SPENCE, JANET T. – 1966
AS PART OF THE RESEARCH ON THE INFLUENCE OF RESPONSE-CONTINGENT REINFORCERS ON THE LEARNING AND PROBLEM-SOLVING BEHAVIOR OF CHILDREN, THE EFFECTS OF A LIMITED NUMBER OF VARIABLES ON THE PERFORMANCE OF CHILDREN OF THREE AGE LEVELS (4-5, 7-8, AND 10-11), SELECTED EQUALLY FROM MIDDLE- AND LOWER-CLASS BACKGROUNDS, WERE INVESTIGATED. THE EXPERIMENTAL…
Descriptors: Discrimination Learning, Learning Processes, Lower Class, Middle Class
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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