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Kristy L. Armitage; Alicia K. Jones; Jonathan Redshaw – Cognitive Science, 2025
With the rise of wearable technologies, mobile devices and artificial intelligence comes a growing pressure to understand downstream effects of cognitive offloading on children's future thinking and behavior. Here, we explored whether compelling children to use an indiscriminate cognitive offloading strategy affects their subsequent strategy…
Descriptors: Cognitive Processes, Cognitive Ability, Problem Solving, Learning Strategies
Fabian Tomaschek; Michael Ramscar; Jessie S. Nixon – Cognitive Science, 2024
Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences--and the relations between the elements they comprise--are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the…
Descriptors: Sequential Learning, Learning Processes, Serial Learning, Executive Function
Martínez-García, Cristina; Cuetos, Fernando; Suárez-Coalla, Paz – Journal for the Study of Education and Development, 2022
It is common to see mirror errors in letters in early stages of reading due to the mirror-generalization process that allows a visual stimulus to be identified independently of its orientation. To avoid such errors, this process must be inhibited. A special case would be children with dyslexia since their difficulties with the alphabetic code may…
Descriptors: Foreign Countries, Dyslexia, Spanish, Alphabets
Fuhs, Mary Wagner; Tavassolie, Nadia; Wang, Yiqiao; Bartek, Victoria; Sheeks, Natalie A.; Gunderson, Elizabeth A. – Journal of Cognition and Development, 2021
Young children are sensitive to both numerical and spatial magnitude cues early in development, but many questions remain about how children's attention to magnitudes relates to their early math achievement. In two studies, we tested three hypotheses related to the flexible attention to magnitudes (FAM) account, which suggests that young…
Descriptors: Preschool Children, Mathematics Skills, Numeracy, Number Concepts
Yan, Veronica X.; Sana, Faria – Journal of Cognitive Education and Psychology, 2019
Interleaving examples of to-be-learned categories, rather than blocking examples by category, frequently enhances category induction. The presently dominant theory is that interleaving promotes discriminative-contrast, and suggests that category similarity structure modulates this interleaving benefit: that blocking should benefit learning when…
Descriptors: Learning Processes, Learning Strategies, Discrimination Learning, Learning Theories
Liu, Jing – Journal of Research in Music Education, 2018
This study extends Zimmerman's research on children's music conservation to adult listeners, investigating participants' ability to conserve melody under different harmonic conditions. Specifically, I investigated whether listeners in the study could identify melody when primary, diatonic, and secondary chords were added (Task 1) and when melody…
Descriptors: Music Education, Music Appreciation, Adults, Listening Skills
Petursdottir, Anna Ingeborg; Aguilar, Gabriella – Journal of Applied Behavior Analysis, 2016
Receptive identification is usually taught in matching-to-sample format, which entails the presentation of an auditory sample stimulus and several visual comparison stimuli in each trial. Conflicting recommendations exist regarding the order of stimulus presentation in matching-to-sample trials. The purpose of this study was to compare acquisition…
Descriptors: Kindergarten, Males, Receptive Language, Identification
Möhring, Wenke; Newcombe, Nora S.; Frick, Andrea – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Spatial scaling, or an understanding of how distances in different-sized spaces relate to each other, is fundamental for many spatial tasks and relevant for success in numerous professions. Previous research has suggested that adults use mental transformation strategies to mentally scale spatial input, as indicated by linear increases in response…
Descriptors: College Students, Transformative Learning, Learning Strategies, Spatial Ability
Cantrell, Lisa; Boyer, Ty W.; Cordes, Sara; Smith, Linda B. – Developmental Science, 2015
Infants have shown variable success in quantity comparison tasks, with infants of a given age sometimes successfully discriminating numerical differences at a 2:3 ratio but requiring 1:2 and even 1:4 ratios of change at other times. The current explanations for these variable results include the two-systems proposal--a theoretical framework that…
Descriptors: Infants, Child Development, Discrimination Learning, Task Analysis
Reed, Sarah R.; Stahmer, Aubyn C.; Suhrheinrich, Jessica; Schreibman, Laura – Journal of Autism and Developmental Disorders, 2013
Stimulus overselectivity is widely accepted as a stimulus control abnormality in autism spectrum disorders and subsets of other populations. Previous research has demonstrated a link between both chronological and mental age and overselectivity in typical development. However, the age at which children are developmentally ready to respond to…
Descriptors: Autism, Preschool Children, Cues, Mental Age
Le Pelley, M. E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
Monkeys will selectively and adaptively learn to avoid the most difficult trials of a perceptual discrimination learning task. Couchman, Coutinho, Beran, and Smith (2010) have recently demonstrated that this pattern of responding does not depend on animals receiving trial-by-trial feedback for their responses; it also obtains if experience of the…
Descriptors: Animals, Associative Learning, Feedback (Response), Discrimination Learning
Reynolds, Gemma; Reed, Phil – Learning and Motivation, 2011
Stimulus over-selectivity refers to behavior being controlled by one element of the environment at the expense of other equally salient aspects of the environment. This is a common problem for many individuals, including those with autism spectrum disorders, and learning difficulties, and presents a considerable problem for information processing…
Descriptors: Learning Problems, Cues, Autism, Discrimination Learning
Lozano, J. H.; Hernandez, J. M.; Rubio, V. J.; Santacreu, J. – Learning and Individual Differences, 2011
Although intelligence has traditionally been identified as "the ability to learn" (Peterson, 1925), this relationship has been questioned in simple operant learning tasks (Spielberger, 1962). Nevertheless, recent pieces of research have demonstrated a strong and significant correlation between associative learning measures and intelligence…
Descriptors: Intelligence, Associative Learning, Reinforcement, Task Analysis
Treccani, Barbara; Milanese, Nadia; Umilta, Carlo – Journal of Experimental Psychology: Human Perception and Performance, 2010
In 4 experiments, we intermixed trials in which the stimulus color was relevant with trials where participants had to judge the stimulus shape or parity and found that the logical-recoding rule (Hedge & Marsh, 1975) applied to the relevant dimension in a task can generalize to the irrelevant dimension of the other task. The mapping…
Descriptors: Color, Experiments, Task Analysis, Universities
Maes, J. H. R.; Eling, P. A. T. M. – Learning and Motivation, 2009
In both healthy participants and various patient populations, performance on attentional set-shifting tasks has been found to be affected by learned irrelevance and/or perseveration. The present study examined whether or not these processes also play a role during the initial discrimination learning phase of those tasks. To this end, participants…
Descriptors: Play, Discrimination Learning, Attention, Task Analysis
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