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Showing 1 to 15 of 95 results Save | Export
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Schmid, Samuel; Saddy, Douglas; Franck, Julie – Cognitive Science, 2023
In this article, we explore the extraction of recursive nested structure in the processing of binary sequences. Our aim was to determine whether humans learn the higher-order regularities of a highly simplified input where only sequential-order information marks the hierarchical structure. To this end, we implemented a sequence generated by the…
Descriptors: Learning Processes, Sequential Learning, Grammar, Language Processing
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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
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Gabriel J. Cler; Samantha Bartolo; Jiwon Kim; Anna Nolan; Sophia Banel – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Developmental language disorder (DLD) is a neurodevelopmental disorder that impacts approximately 7% of the population and is characterized by unexplained deficits in expressive and/or receptive components of language. A common procedural learning task, serial reaction time (SRT), has been used to develop models of the basis of DLD.…
Descriptors: Adult Learning, Language Impairments, Sequential Learning, Neurodevelopmental Disorders
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Daniel Fitousi – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
For nearly half a century now, Garner interference has been serving as the gold standard measure of dimensional interaction and selective attention. But the mechanisms that generate Garner interference are still not well understood. The current study proposes a novel theory that ascribes the interference (and dimensional interaction in general) to…
Descriptors: Interference (Learning), Attention, Cognitive Processes, Experimental Psychology
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Isaac N. Treves; Jonathan Cannon; Eren Shin; Cindy E. Li; Lindsay Bungert; Amanda O'Brien; Annie Cardinaux; Pawan Sinha; John D. E. Gabrieli – Journal of Autism and Developmental Disorders, 2024
Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical…
Descriptors: Autism Spectrum Disorders, Adults, Learning Processes, Visual Perception
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Branyan, Helen; Cooper, Elisheva; Shaki, Samuel; McCrink, Koleen – Journal of Cognition and Development, 2023
During the preschool years, children are simultaneously undergoing a reshaping of their mental number line and becoming increasingly sensitive to the social norms expressed by those around them. In the current study, 4- and 5-year-old American and Israeli children were given a task in which an experimenter laid out chips with numbers (1-5),…
Descriptors: Preschool Children, Memory, Spatial Ability, Number Concepts
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Jinnie Shin; Bowen Wang; Wallace N. Pinto Junior; Mark J. Gierl – Large-scale Assessments in Education, 2024
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…
Descriptors: Prediction, Models, Problem Solving, Performance
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Warren, Tiffani; Cagliani, Rachel R.; Whiteside, Erinn; Ayres, Kevin M. – Journal of Behavioral Education, 2021
This study compared effects of student choice of task sequence to two variations in teacher-manipulated task sequences on on-task behavior of elementary-aged students with disabilities. Researchers modified Call et al.'s (J Appl Behav Anal 42: 723-728, 2009) demand assessment to determine high-, moderate-, and low-probability tasks. Next,…
Descriptors: Task Analysis, Sequential Learning, Elementary School Students, Students with Disabilities
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Reeders, Puck C.; Hamm, Amanda G.; Allen, Timothy A.; Mattfeld, Aaron T. – Learning & Memory, 2021
Remembering sequences of events defines episodic memory, but retrieval can be driven by both ordinality and temporal contexts. Whether these modes of retrieval operate at the same time or not remains unclear. Theoretically, medial prefrontal cortex (mPFC) confers ordinality, while the hippocampus (HC) associates events in gradually changing…
Descriptors: Memory, Brain Hemisphere Functions, Diagnostic Tests, Task Analysis
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Yanaoka, Kaichi; Saito, Satoru – Child Development, 2021
This study examined whether executive functions impact how flexibly children represent task context in performing repeated sequential actions. Japanese children in Experiments 1 (N = 52; 3-6 years) and 2 (N = 50, 4-6 years) performed sequential actions repeatedly; one group received reminders. Experiment 1 indicated that reminders promote flexible…
Descriptors: Executive Function, Sequential Learning, Children, Foreign Countries
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Ishihara, Makio; Rattanachinalai, Pongpun – Education and Information Technologies, 2022
This paper designs and develops a computer programming learning system for total beginners and those who have no programming experience. The traditional computer programming learning systems require prior knowledge about variables, their types, operators for arithmetic calculations and relational calculations etc., for adopting a wide range of…
Descriptors: Computer Science Education, Programming, Novices, Task Analysis
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Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; Gog, Tamara – Applied Cognitive Psychology, 2020
Research suggests some sequences of examples and problems (i.e., EE, EP) are more effective (higher test performance) and efficient (attained with equal/less mental effort) than others (PP, sometimes also PE). Recent findings suggest this is due to motivational variables (i.e., self-efficacy), but did not test this during the training phase.…
Descriptors: Problem Solving, Sequential Learning, Task Analysis, Time Factors (Learning)
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Lum, Jarrad A. G. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
This study examined the changes in saccadic amplitude associated with learning a visual sequence. The oculomotor system gradually adjusts saccadic parameters when tracking a visual stimulus, which has a predictable trajectory. In these contexts, the change in saccadic amplitudes leads to predictive fixations. That is, fixations made to a position…
Descriptors: Incidental Learning, Sequential Learning, Reaction Time, Eye Movements
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Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
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Kavakci, Mariam; Dollaghan, Christine – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The purpose of this study was to determine whether a new oculomotor serial reaction time (RT) task revealed statistical sequence learning in young children. Method: We used eye tracking to measure typically developing children's oculomotor RTs in response to cartoon-like creatures that appeared successively in quadrants of a monitor…
Descriptors: Psychomotor Skills, Eye Movements, Reaction Time, Preschool Children
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