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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
Chierchia, Gabriele; Soukupová, Magdaléna; Kilford, Emma J.; Griffin, Cait; Leung, Jovita; Palminteri, Stefano; Blakemore, Sarah-Jayne – Developmental Science, 2023
Understanding how learning changes during human development has been one of the long-standing objectives of developmental science. Recently, advances in computational biology have demonstrated that humans display a bias when learning to navigate novel environments through rewards and punishments: they learn more from outcomes that confirm their…
Descriptors: Reinforcement, Learning Processes, Developmental Stages, Adolescents
Richardson, Robert D.; Crewdson, Margaret A.; Skinner, Christopher H.; Wheat, Laura S.; Martinez, James A. – TEACHING Exceptional Children, 2022
Class-wide academic performance can be increased by overlaying existing instructional and classroom management procedures with supplemental interdependent group-oriented bonus rewards. The bonus reward strategies may be particularly effective for under-motivated, low-performing students. When applying supplemental interdependent group-oriented…
Descriptors: Rewards, Student Motivation, Classroom Techniques, Contingency Management
Ikenna Osakwe; Guanliang Chen; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Lyn Lim; Joep van der Graaf; Johanna Moore; Inge Molenaar; Maria Bannert; Alex Whitelock-Wainwright; Dragan Gaševic – British Journal of Educational Technology, 2024
Self-regulated learning (SRL) is an essential skill to achieve one's learning goals. This is particularly true for online learning environments (OLEs) where the support system is often limited compared to a traditional classroom setting. Likewise, existing research has found that learners often struggle to adapt their behaviour to the…
Descriptors: Metacognition, Learning Strategies, Teaching Methods, Classroom Environment
Nussenbaum, Kate; Velez, Juan A.; Washington, Bradli T.; Hamling, Hannah E.; Hartley, Catherine A. – Child Development, 2022
Optimal integration of positive and negative outcomes during learning varies depending on an environment's reward statistics. The present study investigated the extent to which children, adolescents, and adults (N = 142 8-25 year-olds, 55% female, 42% White, 31% Asian, 17% mixed race, and 8% Black; data collected in 2021) adapt their weighting of…
Descriptors: Reinforcement, Modeling (Psychology), Expectation, Decision Making
Boskovic, Irena – Educational Psychology, 2020
The educational system today often relies on incentives in order to motivate students. However, it might also encourage students to engage in deceptive behaviour (e.g. malingering) in order to reach certain benefits. Hereby, we investigated whether students would intentionally fabricate symptoms (i.e. malinger) when confronted with a…
Descriptors: Student Motivation, Student Behavior, Deception, Physical Health
Walker, Adrian R.; Navarro, Danielle J.; Newell, Ben R.; Beesley, Tom – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The exploration/exploitation trade-off (EE trade-off) describes how, when faced with several competing alternatives, decision-makers must often choose between a known good alternative (exploitation) and one or more unknown but potentially more rewarding alternatives (exploration). Prevailing theory on how humans perform the EE trade-off states…
Descriptors: Decision Making, Inquiry, Ambiguity (Context), Reinforcement
Kelley, James A.; Heidorn, Brent – Strategies: A Journal for Physical and Sport Educators, 2022
The purpose of this article is to highlight examples for promoting and rewarding students as they pursue physical activity, motor skills, and fitness in at-home or in community-based environments. Specifically, this article will include: (a) promoting positive and enjoyable at-home and in-the-community physical activity experiences for all…
Descriptors: Rewards, Physical Activities, Psychomotor Skills, Physical Fitness
Prudente, Jodee A.; Demchak, MaryAnn – Intervention in School and Clinic, 2022
Students with emotional and behavioral disorders (EBD) generally have behavior support plans that are based on a functional behavioral assessment. This article provides educators practical guidelines for conducting a "multiple stimulus without replacement" (MSWO) preference assessment to rank order preferred activities that will align…
Descriptors: Emotional Disturbances, Behavior Disorders, Rewards, Stimuli
Jesús Pérez; Eladio Dapena; Jose Aguilar – Education and Information Technologies, 2024
In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Reinforcement, Difficulty Level
Stocco, Andrea; Prat, Chantel S.; Graham, Lauren K. – Cognitive Science, 2021
The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about…
Descriptors: Individual Differences, Rewards, Abstract Reasoning, Problem Solving
Fraser, Kurt M.; Janak, Patricia H. – Learning & Memory, 2019
The context in which reward-paired cues are encountered can resolve ambiguity and set the occasion for appropriate reward-seeking. The psychological processes by which contexts regulate reward-seeking remain unclear as contexts are diffuse and difficult to isolate from other stimuli. To overcome this, we modeled a context as a phasic and discrete…
Descriptors: Rewards, Animals, Cues, Cognitive Processes
Sathiyakumar, Sankirthana; Carrasco, Sofia Skromne; Saad, Lydia; Richards, Blake A. – Learning & Memory, 2020
Behavioral flexibility is important in a changing environment. Previous research suggests that systems consolidation, a long-term poststorage process that alters memory traces, may reduce behavioral flexibility. However, exactly how systems consolidation affects flexibility is unknown. Here, we tested how systems consolidation affects: (1)…
Descriptors: Memory, Animals, Rewards, Food
Amso, Dima; Kirkham, Natasha – Child Development Perspectives, 2021
Visual attention both guides and is guided by learning and memory systems. In this article, we use a multiple-memory systems framework to examine the interplay between attention and memory that begins in early postnatal life. We review how attention and memory interact to support infant development with respect to perceptual learning about objects…
Descriptors: Systems Approach, Memory, Learning Processes, Correlation
Amaya, Kenneth A.; Stott, Jeffrey J.; Smith, Kyle S. – Learning & Memory, 2020
Motivationally attractive cues can draw in behavior in a phenomenon termed incentive salience. Incentive cue attraction is an important model for animal models of drug seeking and relapse. One question of interest is the extent to which the pursuit of motivationally attractive cues is related to the value of the paired outcome or can become…
Descriptors: Cues, Habituation, Motivation Techniques, Incentives