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Cruz Blandón, María Andrea; Cristia, Alejandrina; Räsänen, Okko – Cognitive Science, 2023
Computational models of child language development can help us understand the cognitive underpinnings of the language learning process, which occurs along several linguistic levels at once (e.g., prosodic and phonological). However, in light of the replication crisis, modelers face the challenge of selecting representative and consolidated infant…
Descriptors: Meta Analysis, Infants, Language Acquisition, Computational Linguistics
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Walsh, Matthew M.; Gluck, Kevin A.; Gunzelmann, Glenn; Jastrzembski, Tiffany; Krusmark, Michael – Cognitive Science, 2018
The spacing effect is among the most widely replicated empirical phenomena in the learning sciences, and its relevance to education and training is readily apparent. Yet successful applications of spacing effect research to education and training is rare. Computational modeling can provide the crucial link between a century of accumulated…
Descriptors: Models, Time Factors (Learning), Memory, Intervals
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Beekhuizen, Barend; Stevenson, Suzanne – Cognitive Science, 2018
We explore the following two cognitive questions regarding crosslinguistic variation in lexical semantic systems: Why are some linguistic categories--that is, the associations between a term and a portion of the semantic space--harder to learn than others? How does learning a language-specific set of lexical categories affect processing in that…
Descriptors: Color, Visual Discrimination, Semantics, Models
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Martin, Jay B.; Griffiths, Thomas L.; Sanborn, Adam N. – Cognitive Science, 2012
Exploring how people represent natural categories is a key step toward developing a better understanding of how people learn, form memories, and make decisions. Much research on categorization has focused on artificial categories that are created in the laboratory, since studying natural categories defined on high-dimensional stimuli such as…
Descriptors: Markov Processes, Monte Carlo Methods, Correlation, Efficiency
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Pitt, Mark A.; Myung, Jay I.; Montenegro, Maximiliano; Pooley, James – Cognitive Science, 2008
A primary criterion on which models of cognition are evaluated is their ability to fit empirical data. To understand the reason why a model yields a good or poor fit, it is necessary to determine the data-fitting potential (i.e., flexibility) of the model. In the first part of this article, methods for comparing models and studying their…
Descriptors: Auditory Perception, Computation, Schemata (Cognition), Comparative Analysis
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Shiffrin, Richard M.; Lee, Michael D.; Kim, Woojae; Wagenmakers, Eric-Jan – Cognitive Science, 2008
This article reviews current methods for evaluating models in the cognitive sciences, including theoretically based approaches, such as Bayes factors and minimum description length measures; simulation approaches, including model mimicry evaluations; and practical approaches, such as validation and generalization measures. This article argues…
Descriptors: Bayesian Statistics, Generalization, Sciences, Models
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Matthews, Danielle E.; VanLehn, Kurt; Graesser, Arthur C.; Jackson, G. Tanner; Jordan, Pamela; Olney, Andrew; Rosa, Andrew Carolyn P. – Cognitive Science, 2007
It is often assumed that engaging in a one-on-one dialogue with a tutor is more effective than listening to a lecture or reading a text. Although earlier experiments have not always supported this hypothesis, this may be due in part to allowing the tutors to cover different content than the noninteractive instruction. In 7 experiments, we tested…
Descriptors: Tutoring, Natural Language Processing, Physics, Computer Assisted Instruction
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Unsworth, Sara J.; Medin, Douglas L. – Cognitive Science, 2005
Norenzayan, Smith, Jun Kim, and Nisbett (2002) investigated cultural differences in the use of intuitive versus formal reasoning in 4 experiments. Our comment concerns the 4th experiment where Norenzayan et al. reported that, although there were no cultural differences in accuracy on abstract logical arguments, Koreans made more errors than U.S.…
Descriptors: Logical Thinking, Experiments, Cultural Differences, Persuasive Discourse
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Johansson, Roger; Holsanova, Jana; Holmqvist, Kenneth – Cognitive Science, 2006
This study provides evidence that eye movements reflect the positions of objects while participants listen to a spoken description, retell a previously heard spoken description, and describe a previously seen picture. This effect is equally strong in retelling from memory, irrespective of whether the original elicitation was spoken or visual. In…
Descriptors: Eye Movements, Pictorial Stimuli, Comparative Analysis, Visual Perception