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Showing 1 to 15 of 72 results Save | Export
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Don, Hilary J.; Worthy, Darrell A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Recent work in reinforcement learning has demonstrated a choice preference for an option that has a lower probability of reward (A) when paired with an alternative option that has a higher probability of reward (C), if A has been experienced more frequently than C (the frequency effect). This finding is critical as it is inconsistent with…
Descriptors: Reinforcement, Preferences, Rewards, Incidence
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Sevgi Bayram Özdemir; Sara Cucurachi; Takuya Yanagida; Metin Özdemir – European Journal of Developmental Psychology, 2024
The current study examined whether bystander behaviours in class were associated with being perpetrators of ethnic victimization and whether they moderated the association between disengagement from morality and perpetrating ethnic-based victimization. The sample included 1065 adolescents residing in Sweden (M[subscript age] = 13.12, SD=.42; 55%…
Descriptors: Moral Values, Adolescents, Student Behavior, Victims
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Rosales, Ma Krishna; Wilder, David A.; Montalvo, Melissa; Fagan, Benjamin – Journal of Applied Behavior Analysis, 2021
The high-probability (high-p) instructional sequence typically consists of the delivery of a series of high-p instructions immediately followed by the delivery of a low-probability (low-p) instruction and is a commonly used procedure to increase compliance among children with intellectual disabilities. In the current study, we used withdrawal…
Descriptors: Instructional Effectiveness, Sequential Approach, Compliance (Psychology), Probability
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Li, Xiao; Xu, Hanchen; Zhang, Jinming; Chang, Hua-hua – Journal of Educational and Behavioral Statistics, 2023
The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…
Descriptors: Learning Processes, Models, Algorithms, Individualized Instruction
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Britton, Tobias C.; Wilkinson, Ellen H.; Hall, Scott S. – American Journal on Intellectual and Developmental Disabilities, 2020
Limited information is available concerning the specificity of the forms and functions of aggressive behavior exhibited by boys with fragile X syndrome (FXS). To investigate these relationships, we conducted indirect functional assessments of aggressive behavior exhibited by 41 adolescent boys with FXS and 59 age and symptom-matched controls with…
Descriptors: Aggression, Males, Genetic Disorders, Adolescents
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Rodriguez Buritica, Julia M.; Eppinger, Ben; Schuck, Nicolas W.; Heekeren, Hauke R.; Li, Shu-Chen – Developmental Science, 2016
Observational learning is an important mechanism for cognitive and social development. However, the neurophysiological mechanisms underlying observational learning in children are not well understood. In this study, we used a probabilistic reward-based observational learning paradigm to compare behavioral and electrophysiological markers of…
Descriptors: Correlation, Children, Observational Learning, Reinforcement
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Schulze, Christin; van Ravenzwaaij, Don; Newell, Ben R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Learning to choose adaptively when faced with uncertain and variable outcomes is a central challenge for decision makers. This study examines repeated choice in dynamic probability learning tasks in which outcome probabilities changed either as a function of the choices participants made or independently of those choices. This presence/absence of…
Descriptors: Decision Making, Rewards, Persistence, Probability
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Yurovsky, Daniel; Boyer, Ty W.; Smith, Linda B.; Yu, Chen – Developmental Science, 2013
Learning about the structure of the world requires learning probabilistic relationships: rules in which cues do not predict outcomes with certainty. However, in some cases, the ability to track probabilistic relationships is a handicap, leading adults to perform non-normatively in prediction tasks. For example, in the "dilution effect,"…
Descriptors: Cues, Prediction, Infants, Cognitive Ability
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de Castro, Ana Catarina; Machado, Armando – Journal of the Experimental Analysis of Behavior, 2012
In a temporal double bisection task, animals learn two discriminations. In the presence of Red and Green keys, responses to Red are reinforced after 1-s samples and responses to Green are reinforced after 4-s samples; in the presence of Blue and Yellow keys, responses to Blue are reinforced after 4-s samples and responses to Yellow are reinforced…
Descriptors: Animals, Reinforcement, Context Effect, Probability
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Tanno, Takayuki; Silberberg, Alan; Sakagami, Takayuki – Journal of the Experimental Analysis of Behavior, 2012
In Experiment 1, food-deprived rats responded to one of two schedules that were, with equal probability, associated with a sample lever. One schedule was always variable ratio, while the other schedule, depending on the trial within a session, was: (a) a variable-interval schedule; (b) a tandem variable-interval,…
Descriptors: Animals, Animal Behavior, Experiments, Reinforcement
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Lee, David L.; Lylo, Brooke; Vostal, Brooks; Hua, Youjia – Journal of Applied Behavior Analysis, 2012
Failure to initiate and remain engaged in academic tasks can have long-lasting effects for students. In this study, we investigated the effects of high-preference sequences on both digits correct per minute and latency to initiate nonpreferred mathematics problems for 3 students with emotional and behavioral disorders. We found that…
Descriptors: Behavior Disorders, Mathematics, Emotional Disturbances, Probability
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Pitts, Laura; Dymond, Simon – Research in Autism Spectrum Disorders, 2012
Research on the high-probability (high-p) request sequence shows that compliance with low-probability (low-p) requests generally increases when preceded by a series of high-p requests. Few studies have conducted formal preference assessments to identify the consequences used for compliance, which may partly explain treatment failures, and still…
Descriptors: Intervals, Mental Retardation, Autism, Reinforcement
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Shteingart, Hanan; Neiman, Tal; Loewenstein, Yonatan – Journal of Experimental Psychology: General, 2013
We quantified the effect of first experience on behavior in operant learning and studied its underlying computational principles. To that goal, we analyzed more than 200,000 choices in a repeated-choice experiment. We found that the outcome of the first experience has a substantial and lasting effect on participants' subsequent behavior, which we…
Descriptors: Operant Conditioning, Behavior, Models, Reinforcement
Mattson, Karla M.; Hucks, Andrew; Grace, Randolph C.; McLean, Anthony P. – Journal of the Experimental Analysis of Behavior, 2010
Eight pigeons responded in a three-component concurrent-chains procedure, with either independent or dependent initial links. Relative probability and immediacy of reinforcement in the terminal links were both varied, and outcomes on individual trials (reinforcement or nonreinforcement) were either signaled or unsignaled. Terminal-link fixed-time…
Descriptors: Reinforcement, Probability, Animals, Selection
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Karsina, Allen; Thompson, Rachel H.; Rodriguez, Nicole M.; Vanselow, Nicholas R. – Analysis of Verbal Behavior, 2012
We evaluated the effects of differential reinforcement and accurate verbal rules with feedback on the preference for choice and the verbal reports of 6 adults. Participants earned points on a probabilistic schedule by completing the terminal links of a concurrent-chains arrangement in a computer-based game of chance. In free-choice terminal links,…
Descriptors: Correlation, Numbers, Probability, Reinforcement
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