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Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
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Sandoval, Michelle; Leclerc, Julia A.; Gómez, Rebecca L. – Child Development, 2017
A nap soon after encoding leads to better learning in infancy. However, whether napping plays the same role in preschoolers' learning is unclear. In Experiment 1 (N = 39), 3-year-old habitual and nonhabitual nappers learned novel verbs before a nap or a period of wakefulness and received a generalization test examining word extension to novel…
Descriptors: Preschool Children, Sleep, Verbs, Generalization
Jennifer Hu – ProQuest LLC, 2023
Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…
Descriptors: Linguistic Theory, Computational Linguistics, Models, Language Research
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Lee, Jessica C.; Hayes, Brett K.; Lovibond, Peter F. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Two experiments tested whether a peak-shifted generalization gradient could be explained by the averaging of distinct gradients displayed in subgroups reporting different generalization rules. Across experiments using a causal judgment task (Experiment 1) and a fear conditioning paradigm (Experiment 2), we found a close concordance between…
Descriptors: Generalization, Associative Learning, Discrimination Learning, Learning Theories
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Koulaguina, Elena; Shi, Rushen – Language Acquisition: A Journal of Developmental Linguistics, 2019
Children begin to learn abstract rules at an early age, in an implicit way, without access to rule descriptions. They rely on specific rule instances that they encounter. However, rule instances often co-occur with rule-inconsistent instances. One kind of inconsistent input, non-application instances, constitutes a learnability problem. For…
Descriptors: Infants, Generalization, Linguistic Input, Grammar
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Meindl, James N.; Ivy, Jonathan W.; Miller, Neal; Neef, Nancy A.; Williamson, Robert L. – Journal of Behavioral Education, 2013
Fluency-based strategies such as Say All Fast a Minute Each Day Shuffled (SAFMEDS) effectively promote fluent responding (i.e., high rate and accuracy). It is possible, however, that the stimulus control developed through these activities inhibits stimulus generalization. We investigated this concern in a two-part study with college students.…
Descriptors: Generalization, Instructional Materials, College Students, Verbal Stimuli
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Freedberg, Michael; Schacherer, Jonathan; Hazeltine, Eliot – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Reward has been shown to change behavior as a result of incentive learning (by motivating the individual to increase their effort) and instrumental learning (by increasing the frequency of a particular behavior). However, Palminteri et al. (2011) demonstrated that reward can also improve the incidental learning of a motor skill even when…
Descriptors: Incidental Learning, Associative Learning, Rewards, Incentives
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Falcomata, Terry S.; Wacker, David P.; Ringdahl, Joel E.; Vinquist, Kelly; Dutt, Anuradha – Journal of Applied Behavior Analysis, 2013
The primary purpose of this study was to evaluate the generalization of mands during functional communication training (FCT) and sign language training across functional contexts (i.e., positive reinforcement, negative reinforcement). A secondary purpose was to evaluate a training procedure based on stimulus control to teach manual signs. During…
Descriptors: Generalization, Sign Language, Communication Skills, Positive Reinforcement
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Taylor, J. S. H.; Plunkett, Kim; Nation, Kate – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
Two experiments explored learning, generalization, and the influence of semantics on orthographic processing in an artificial language. In Experiment 1, 16 adults learned to read 36 novel words written in novel characters. Posttraining, participants discriminated trained from untrained items and generalized to novel items, demonstrating extraction…
Descriptors: Semantics, Artificial Languages, Reading Processes, Generalization
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Down, Catherine Mary – International Journal of Lifelong Education, 2011
The article reports on the first phase of a large-scale qualitative research project that explored the perceptions of training practitioners on how they understood the process by which we carry our knowledge and skill across different contexts. Clearly, this is a process of transition, where it is the individual who moves across the contexts and…
Descriptors: Learning Theories, Qualitative Research, Figurative Language, Training
Faloon, Bridget J.; Rehfeldt, Ruth Anne – Journal of Applied Behavior Analysis, 2008
The purpose of the current study was to explore the use of overt and covert self-rules in the acquisition, maintenance, and generalization of a chained task by adults with mild developmental disabilities. This research differed from previous research in that the experimenter did not deliver reinforcement for correct responses during training, and…
Descriptors: Developmental Disabilities, Reinforcement, Daily Living Skills, Adults
Thomas, David R.; and others – J Exp Psychol, 1970
Descriptors: Attention, Discrimination Learning, Learning Processes, Learning Theories