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Susanne Dyck; Christian Klaes – npj Science of Learning, 2025
New information that is compatible with pre-existing knowledge can be learned faster. Such schema memory effect has been reported in declarative memory and in explicit motor sequence learning (MSL). Here, we investigated if sequences of key presses that were compatible to previously trained ones, could be learned faster in an implicit MSL task.…
Descriptors: Learning Processes, Psychomotor Skills, Sequential Learning, Memory
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Benjamin M. Rottman; Yiwen Zhang – Cognitive Research: Principles and Implications, 2025
Being able to notice that a cause-effect relation is getting stronger or weaker is important for adapting to one's environment and deciding how to use the cause in the future. We conducted an experiment in which participants learned about a cause-effect relation that either got stronger or weaker over time. The experiment was conducted with a…
Descriptors: Causal Models, Memory, Learning Processes, Time
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Laura Ordonez Magro; Leonardo Pinto Arata; Joël Fagot; Jonathan Grainger; Arnaud Rey – Cognitive Science, 2025
Statistical learning allows us to implicitly create memory traces of recurring sequential patterns appearing in our environment. Here, we study the dynamics of how these sequential memory traces develop in a species of nonhuman primates (i.e., Guinea baboons, "Papio papio") that, unlike humans, cannot use language and verbal recoding…
Descriptors: Memory, Sequential Learning, Animals, Repetition
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Maurício D. Martins; Zoe Bergmann; Elena Leonova; Roberta Bianco; Daniela Sammler; Arno Villringer – Cognitive Science, 2025
Recursive hierarchical embedding allows humans to generate multiple hierarchical levels using simple rules. We can acquire recursion from exposure to linguistic and visual examples, but only develop the ability to understand "multiple-level" structures like "[[second] red] ball]" after mastering "same-level"…
Descriptors: Psychomotor Skills, Adults, Adult Learning, Learning Processes
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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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Emerson, Samantha N.; Conway, Christopher M. – Cognitive Science, 2023
There are two main approaches to how statistical patterns are extracted from sequences: The transitional probability approach proposes that statistical learning occurs through the computation of probabilities between items in a sequence. The chunking approach, including models such as PARSER and TRACX, proposes that units are extracted as chunks.…
Descriptors: Statistics Education, Learning Processes, Learning Theories, Pattern Recognition
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Gaia Olivo; Jonas Persson; Martina Hedenius – npj Science of Learning, 2024
Developmental dyslexia (DD) is defined as difficulties in learning to read even with normal intelligence and adequate educational guidance. Deficits in implicit sequence learning (ISL) abilities have been reported in children with DD. We investigated brain plasticity in a group of 17 children with DD, compared with 18 typically developing (TD)…
Descriptors: Dyslexia, Brain, Children, Training
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Guoqian Luo; Hengnian Gu; Xiaoxiao Dong; Dongdai Zhou – Education and Information Technologies, 2025
In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…
Descriptors: Electronic Learning, Individualized Instruction, Sequential Learning, Learning Processes
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Stephen Ferrigno; Samuel J. Cheyette; Susan Carey – Cognitive Science, 2025
Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains--natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial…
Descriptors: Sequential Learning, Cognitive Processes, Knowledge Representation, Training
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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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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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Julius Ceasar Hortelano; Maricar Prudente – Journal of Pedagogical Research, 2024
Conceptualized in France during the sixties, the Theory of Didactical Situations [TDS] is a pivotal framework for developing mathematics teaching and learning processes. Despite the increasing qualitative studies over the last ten years, there remains a dearth of analysis of its effects on mathematics education. Through a Grounded Formal Theory…
Descriptors: Didacticism, Mathematics Instruction, Mathematics Education, Learning Processes
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Jialing Zeng; Peng Zhang; Junyi Zhou; Junjie Shang; John B. Black – Educational Technology Research and Development, 2025
Current literature indicates the significance of embodied scaffoldings in enhancing the effectiveness of interactive learning technologies for STEM conceptual learning and relevant cognitive skill development. However, there is limited research on pedagogical approaches for integrating mixed embodied scaffoldings in learning with interactive…
Descriptors: Scaffolding (Teaching Technique), Educational Games, Learning Processes, STEM Education
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Choi, Soonri; Song, Jihoon – International Journal of Educational Methodology, 2023
We propose a plan to facilitate the development of backward constituent skills within a complex learning process through the manipulation of emphasis sequencing. To achieve this, we utilized perceptual offloading cues as supportive information in emphasis sequencing, taking into consideration principles of information processing and cognitive…
Descriptors: Transfer of Training, Learning Processes, Cognitive Processes, Stimuli
Baroody, Arthur J.; Yilmaz, Nursel; Clements, Douglas H.; Sarama, Julie – Grantee Submission, 2021
Although hypothetical learning trajectories (HLTs) are often viewed as a valuable instructional tool, little research has directly evaluated their value. A basic assumption of HLTs is that ordering instructional activities by developmental difficulty enhances learning. A randomized control trial (RCT) served to evaluate this assumption with a…
Descriptors: Learning Processes, Patternmaking, Effect Size, Intervention
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