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Mengcun Gao; Brandon M. Turner; Vladimir M. Sloutsky – Cognitive Science, 2024
Numerous studies have found that selective attention affects category learning. However, previous research did not distinguish between the contribution of focusing and filtering components of selective attention. This study addresses this issue by examining how components of selective attention affect category representation. Participants first…
Descriptors: Attention, Classification, Memory, Knowledge Representation
Mengfei Zhao; Dongjie Jiang; Jun Wang – Cognitive Science, 2025
Previous research suggests that statistical learning enhances memory for self-related information at the individual level and that individuals exhibit better memory for partner-related items than they do for irrelevant items in joint contexts (i.e., the joint memory effect, JME). However, whether statistical learning improves memory for…
Descriptors: Memory, Task Analysis, Classification, Chinese
Martin Maier; Rasha Abdel Rahman – Language Learning, 2024
Linguistic categories can impact visual perception. For instance, learning that two objects have different names can enhance their discriminability. Previous studies have identified a typical pattern of categorical perception, characterized by faster discrimination of stimuli from different categories, a neural mismatch response during early…
Descriptors: Visual Perception, Brain, Brain Hemisphere Functions, Memory
Michelle A. Sveistrup; Jean Langlois; Timothy D. Wilson – Anatomical Sciences Education, 2025
The Cognitive Theory of Multimedia Learning (CTML) suggests humans learn through visual and auditory sensory channels. Haptics represent a third channel within CTML and a missing component for experiential learning. The objective was to measure visual and haptic behaviors during spatial tasks. The haptic abilities test (HAT) quantifies results in…
Descriptors: Learning Theories, Multimedia Instruction, Sensory Integration, Experiential Learning
Luke Strickland; Simon Farrell; Micah K. Wilson; Jack Hutchinson; Shayne Loft – Cognitive Research: Principles and Implications, 2024
In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…
Descriptors: Automation, Reliability, Man Machine Systems, Learning Processes
Brianna Piro-Gambetti; Emily K. Schworer; Benjamin Handen; Masha Glukhovskaya; Sigan L. Hartley – Journal of Intellectual Disabilities, 2024
Adults with Down syndrome (DS) experience high risk for Alzheimer's disease (AD), but there is variability in the timing of transition from a cognitively stable state to prodromal AD and dementia. The present study examined the association between a modifiable lifestyle factor, employment complexity, and cognitive decline across two time points in…
Descriptors: Employment, At Risk Persons, Alzheimers Disease, Vocational Education
Zia Tajeddin; Ali Malmir – Language Teaching Research Quarterly, 2024
Learners' acquisition of pragmatic competence in additional languages has received mounting attention since the 1990s. However, although studies on general learning strategies have proliferated since Oxford's (1990) influential inventory was published, studies on pragmatic-specific learning strategies contributing to the acquisition of this…
Descriptors: Pragmatics, Second Language Learning, Second Language Instruction, Learning Strategies