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Vigo, Ronaldo; Doan, Charles A.; Zhao, Li – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The quest for determining the degree of learning difficulty associated with different types of categories has been instrumental in our understanding of human categorization behavior and, more broadly, human generalization. For instance, we now know that the topological nature of the dimensions (e.g., whether these are integral or separable) that…
Descriptors: Discrimination Learning, Classification, Learning Processes, Difficulty Level
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
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
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
Thomas, David R.; and others – J Exp Psychol, 1970
Descriptors: Attention, Discrimination Learning, Learning Processes, Learning Theories
van Osselaer, Stijn M. J.; Janiszewski, Chris; Cunha Jr., Marcus – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
Recent studies involving nonlinear discrimination problems suggest that stimuli in human associative learning are represented configurally with narrow generalization, such that presentation of stimuli that are even slightly dissimilar to stored configurations weakly activate these configurations. The authors note that another well-known set of…
Descriptors: Stimuli, Learning Processes, Interaction, Stimulus Generalization
Murray, E. Neil – J Abnorm Psychol, 1969
Research supported in part by a United States Public Health Service grant. Article based on a PhD thesis submitted to the University of Pittsburgh. Reprints from: E.N. Murray, Dept of Psychology, State Univ of N.Y., Buffalo, N.Y.
Descriptors: Anxiety, Emotional Adjustment, Learning Processes, Motor Reactions
Jones, Matt; Love, Bradley C.; Maddox, W. Todd – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2006
Accounts of learning and generalization typically focus on factors related to lasting changes in representation (i.e., long-term memory). The authors present evidence that shorter term effects also play a critical role in determining performance and that these recency effects can be subdivided into perceptual and decisional components.…
Descriptors: Long Term Memory, Perception, Classification, Short Term Memory
Mostofsky, David I.; Shurtleff, Donald A. – J Gen Psychol, 1969
Descriptors: Auditory Stimuli, Conditioning, Learning, Learning Processes

Cooke, Sharon; And Others – Journal of Special Education, 1976
Descriptors: Generalization, Language Instruction, Learning Processes, Learning Theories

Kilmer, W. L.; Arbib, M. A. – International Journal of Man-Machine Studies, 1973
A discussion of several types of formal neurons, many of whose functions are modifiable by their own input stimuli. The language of finite automata is used to mathematicize the problem of adaptation sufficiently to remove some ambiguities of Brindley's approach. (Author)
Descriptors: Automation, Human Development, Learning Processes, Neurological Organization
Hellmich, Harald; Seltmann, Wolfgang – Deutsch als Fremdsprache, 1971
Descriptors: Behavior Theories, Instructional Improvement, Language Instruction, Language Skills
Avant, Lloyd, L.; Bevan, William – J Gen Psychol, 1969
Descriptors: Associative Learning, Learning Processes, Memory, Paired Associate Learning
Carter, Heather L. – 1970
Curriculum development would be greatly aided if it could be demonstrated that certain instructional techniques have a generalization effect that encompasses several content settings. The evidence that transfer does occur within the learning process is strong enough to warrant this study into the generalization of science instruction. It was…
Descriptors: Behavioral Objectives, Curriculum Development, Learning Processes, Learning Theories

Woods, Thomas S. – B.C. Journal of Special Education, 1978
Two autistic boys, ages 6 and 10 years, whose imitative responding was functionally inaccurate and whose performance generalized poorly, were trained to imitate accurately using a reinforcement-extinction strategy. (DLS)
Descriptors: Autism, Behavior Change, Children, Exceptional Child Research
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