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Weis, Patrick P.; Wiese, Eva – Cognitive Science, 2019
When incorporating the environment into mental processing (cf., "cognitive offloading"), one creates novel cognitive strategies that have the potential to improve task performance. Improved performance can, for example, mean faster problem solving, more accurate solutions, or even higher grades at university. Although cognitive…
Descriptors: Problem Solving, Goal Orientation, Performance, Cognitive Processes
Van Hoey, Thomas; Thompson, Arthur L.; Do, Youngah; Dingemanse, Mark – Cognitive Science, 2023
Iconicity, or the resemblance between form and meaning, is often ascribed to a special status and contrasted with default assumptions of arbitrariness in spoken language. But does iconicity in spoken language have a special status when it comes to learnability? A simple way to gauge learnability is to see how well something is retrieved from…
Descriptors: Learning Processes, Cognitive Processes, Speech Communication, Memory
Mason, Blake; Rau, Martina A.; Nowak, Robert – Cognitive Science, 2019
Visual representations are prevalent in STEM instruction. To benefit from visuals, students need representational competencies that enable them to see meaningful information. Most research has focused on explicit conceptual representational competencies, but implicit perceptual competencies might also allow students to efficiently see meaningful…
Descriptors: Visual Aids, STEM Education, Task Analysis, Competence
Castro, Nichol; Stella, Massimo; Siew, Cynthia S. Q. – Cognitive Science, 2020
Investigating instances where lexical selection fails can lead to deeper insights into the cognitive machinery and architecture supporting successful word retrieval and speech production. In this paper, we used a multiplex lexical network approach that combines semantic and phonological similarities among words to model the structure of the mental…
Descriptors: Semantics, Phonology, Aphasia, Brain Hemisphere Functions
Mulak, Karen E.; Vlach, Haley A.; Escudero, Paola – Cognitive Science, 2019
Cross-situational word learning (XSWL) tasks present multiple words and candidate referents within a learning trial such that word-referent pairings can be inferred only across trials. Adults encode fine phonological detail when two words and candidate referents are presented in each learning trial (2 × 2 scenario; Escudero, Mulak, & Vlach,…
Descriptors: Phonology, Vocabulary Development, Cognitive Mapping, Accuracy
Haines, Nathaniel; Vassileva, Jasmin; Ahn, Woo-Young – Cognitive Science, 2018
The Iowa Gambling Task (IGT) is widely used to study decision-making within healthy and psychiatric populations. However, the complexity of the IGT makes it difficult to attribute variation in performance to specific cognitive processes. Several cognitive models have been proposed for the IGT in an effort to address this problem, but currently no…
Descriptors: Reinforcement, Task Analysis, Decision Making, Cognitive Processes
Giustolisi, Beatrice; Emmorey, Karen – Cognitive Science, 2018
This study investigated visual statistical learning (VSL) in 24 deaf signers and 24 hearing non-signers. Previous research with hearing individuals suggests that SL mechanisms support literacy. Our first goal was to assess whether VSL was associated with reading ability in deaf individuals, and whether this relation was sustained by a link between…
Descriptors: Deafness, Hearing Impairments, Task Analysis, Correlation
Reilly, Jamie; Hung, Jinyi; Westbury, Chris – Cognitive Science, 2017
Arbitrary symbolism is a linguistic doctrine that predicts an orthogonal relationship between word forms and their corresponding meanings. Recent corpora analyses have demonstrated violations of arbitrary symbolism with respect to concreteness, a variable characterizing the sensorimotor salience of a word. In addition to qualitative semantic…
Descriptors: Computational Linguistics, Semantics, Word Recognition, Auditory Perception
Fedorenko, Evelina; Woodbury, Rebecca; Gibson, Edward – Cognitive Science, 2013
Linguistic dependencies between non-adjacent words have been shown to cause comprehension difficulty, compared with local dependencies. According to one class of sentence comprehension accounts, non-local dependencies are difficult because they require the retrieval of the first dependent from memory when the second dependent is encountered.…
Descriptors: Memory, Task Analysis, Sentences, Language Processing