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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
Remmelink, Esther; Smit, August B.; Verhage, Matthijs; Loos, Maarten – Learning & Memory, 2016
Many neurological and psychiatric disorders are characterized by deficits in cognitive flexibility. Modeling cognitive flexibility in mice enables the investigation of mechanisms underlying these deficits. The majority of currently available behavioral tests targeting this cognitive domain are reversal learning tasks that require scheduled food…
Descriptors: Animals, Food, Sensory Experience, Models
Poulton, Alison; Whale, Samina; Robinson, Joanne – Journal of Psychologists and Counsellors in Schools, 2016
Attention deficit hyperactivity disorder (ADHD) is frequently associated with oppositional defiant disorder (ODD). The Mental Effort Reward Imbalances Model (MERIM) explains this observational association as follows: in ADHD a disproportionate level of mental effort is required for sustaining concentration for achievement; in ODD the subjective…
Descriptors: Attention Deficit Hyperactivity Disorder, Models, Positive Reinforcement, Neuropsychology
Janssen, Christian P.; Gray, Wayne D. – Cognitive Science, 2012
Reinforcement learning approaches to cognitive modeling represent task acquisition as learning to choose the sequence of steps that accomplishes the task while maximizing a reward. However, an apparently unrecognized problem for modelers is choosing when, what, and how much to reward; that is, when (the moment: end of trial, subtask, or some other…
Descriptors: Rewards, Reinforcement, Models, Memory
Worthy, Darrell A.; Otto, A. Ross; Maddox, W. Todd – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
We examined the role of working memory (WM) in dynamic decision making by having participants perform decision-making tasks under single-task or dual-task conditions. In 2 experiments participants performed dynamic decision-making tasks in which they chose 1 of 2 options on each trial. The decreasing option always gave a larger immediate reward…
Descriptors: Decision Making, Cognitive Processes, Rewards, Short Term Memory
Justice, Laura M.; Logan, Jessica R.; Damschroder, Laura – Journal of Speech, Language, and Hearing Research, 2015
Purpose: This study presents an application of the theoretical domains framework (TDF; Michie et al., 2005), an integrative framework drawing on behavior-change theories, to speech-language pathology. Methods: A multistep procedure was used to identify barriers affecting caregivers' implementation of shared-reading interventions with their…
Descriptors: Speech Language Pathology, Children, Reading Instruction, Intervention
Howard-Jones, Paul; Demetriou, Skevi; Bogacz, Rafal; Yoo, Jee H.; Leonards, Ute – Mind, Brain, and Education, 2011
Reinforcement learning involves a tight coupling of reward-associated behavior and a type of learning that is very different from that promoted by education. However, the emerging understanding of its underlying processes may help derive principles for effective learning games that have, until now, been elusive. This article first reviews findings…
Descriptors: Educational Games, Rewards, Positive Reinforcement, Psychoeducational Methods
Palminteri, Stefano; Lebreton, Mael; Worbe, Yulia; Hartmann, Andreas; Lehericy, Stephane; Vidailhet, Marie; Grabli, David; Pessiglione, Mathias – Brain, 2011
Reinforcement learning theory has been extensively used to understand the neural underpinnings of instrumental behaviour. A central assumption surrounds dopamine signalling reward prediction errors, so as to update action values and ensure better choices in the future. However, educators may share the intuitive idea that reinforcements not only…
Descriptors: Learning Theories, Models, Symptoms (Individual Disorders), Prediction
Huh, Namjung; Jo, Suhyun; Kim, Hoseok; Sul, Jung Hoon; Jung, Min Whan – Learning & Memory, 2009
Reinforcement learning theories postulate that actions are chosen to maximize a long-term sum of positive outcomes based on value functions, which are subjective estimates of future rewards. In simple reinforcement learning algorithms, value functions are updated only by trial-and-error, whereas they are updated according to the decision-maker's…
Descriptors: Learning Theories, Animals, Rewards, Probability
Redish, A. David; Jensen, Steve; Johnson, Adam; Kurth-Nelson, Zeb – Psychological Review, 2007
Because learned associations are quickly renewed following extinction, the extinction process must include processes other than unlearning. However, reinforcement learning models, such as the temporal difference reinforcement learning (TDRL) model, treat extinction as an unlearning of associated value and are thus unable to capture renewal. TDRL…
Descriptors: Rewards, Cues, Behavior Problems, Biochemistry

Beier, Ernst G. – Journal of Clinical Psychology, 1994
Discusses use of reward and punishment as reinforcers, then considers when reward-punishment model does not seem to elicit predictable results. Discusses need to go beyond simple explanation of reward and punishment and to consider other, more subtle forms of motivation. Specifically addresses issues of identity and conformity. (NB)
Descriptors: Behavior Patterns, Models, Psychotherapy, Punishment

Masters, John C.; Morris, Richard J. – Child Development, 1971
Descriptors: Behavior Patterns, Generalization, Imitation, Models

Garrett, James; Libby, William L., Jr. – Journal of Personality and Social Psychology, 1973
This study confirmed the prediction that members of a dyad, whose work inputs are equal, endeavor to divide their joint reward equally. Results also suggested that outcomes intentionally produced by relevant others are included in the computation of equity, while unintentional outcomes are ignored. (Author/KM)
Descriptors: Models, Prediction, Psychological Studies, Rewards

Bryan, James H.; And Others – Child Development, 1971
Experiment studied the effectiveness of social reinforcement by a model who demonstrated varying degrees of commitment to the norm of giving or social responsibility. (Authors)
Descriptors: Altruism, Behavioral Science Research, Data Analysis, Interaction Process Analysis

Cameron, Judy; Pierce, W. David – Review of Educational Research, 1996
The results of a meta-analysis that found that rewards do not threaten intrinsic motivation have not been well accepted by those who argue rewards produce negative effects under a wide range of conditions. Nevertheless, the results and conclusions of the meta-analysis are held to be valid. (SLD)
Descriptors: Meta Analysis, Models, Motivation, Motivation Techniques
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