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Reed, Zackery; Lockwood, Elise – Cognition and Instruction, 2021
In this paper, we present data from two iterative teaching experiments involving students' constructions of four basic counting problems. The teaching experiments were designed to leverage the generalizing activities of relating and extending to provide students with opportunities to reflect on initial combinatorial activity when constructing…
Descriptors: Computation, Generalization, Educational Experiments, Cognitive Processes
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Tatsuoka, Curtis; Varadi, Ferenc; Jaeger, Judith – Journal of Educational and Behavioral Statistics, 2013
Latent partially ordered sets (posets) can be employed in modeling cognitive functioning, such as in the analysis of neuropsychological (NP) and educational test data. Posets are cognitively diagnostic in the sense that classification states in these models are associated with detailed profiles of cognitive functioning. These profiles allow for…
Descriptors: Classification, Models, Nonparametric Statistics, Bayesian Statistics
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Hannagan, Thomas; Grainger, Jonathan – Cognitive Science, 2012
It has been recently argued that some machine learning techniques known as Kernel methods could be relevant for capturing cognitive and neural mechanisms (Jakel, Scholkopf, & Wichmann, 2009). We point out that "String kernels," initially designed for protein function prediction and spam detection, are virtually identical to one contending proposal…
Descriptors: Brain, Word Recognition, Visual Discrimination, Orthographic Symbols
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Stanton, Roger D.; Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Researchers have proposed that an explicit reasoning system is responsible for learning rule-based category structures and that a separate implicit, procedural-learning system is responsible for learning information-integration category structures. As evidence for this multiple-system hypothesis, researchers report a dissociation based on…
Descriptors: Classification, Psychological Studies, Learning Strategies, Cognitive Processes
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Lewandowsky, Stephan; Yang, Lee-Xieng; Newell, Ben R.; Kalish, Michael L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
Working memory is crucial for many higher level cognitive functions, ranging from mental arithmetic to reasoning and problem solving. Likewise, the ability to learn and categorize novel concepts forms an indispensable part of human cognition. However, very little is known about the relationship between working memory and categorization. This…
Descriptors: Program Effectiveness, Classification, Structural Equation Models, Short Term Memory
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Sanborn, Adam N.; Griffiths, Thomas L.; Navarro, Daniel J. – Psychological Review, 2010
Rational models of cognition typically consider the abstract computational problems posed by the environment, assuming that people are capable of optimally solving those problems. This differs from more traditional formal models of cognition, which focus on the psychological processes responsible for behavior. A basic challenge for rational models…
Descriptors: Models, Cognitive Processes, Psychology, Monte Carlo Methods
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Smolensky, Paul – Cognitive Science, 2006
In this article, I survey the integrated connectionist/symbolic (ICS) cognitive architecture in which higher cognition must be formally characterized on two levels of description. At the microlevel, parallel distributed processing (PDP) characterizes mental processing; this PDP system has special organization in virtue of which it can be…
Descriptors: Cognitive Processes, Computation, Research Projects, Theories
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Ashby, F. Gregory; Ennis, John M.; Spiering, Brian J. – Psychological Review, 2007
A biologically detailed computational model is described of how categorization judgments become automatic in tasks that depend on procedural learning. The model assumes 2 neural pathways from sensory association cortex to the premotor area that mediates response selection. A longer and slower path projects to the premotor area via the striatum,…
Descriptors: Biology, Computation, Models, Classification
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Younger, Barbara A.; Hollich, George; Furrer, Stephanie D. – Infancy, 2004
From Aesop to Sun Tzu, the importance of working together has long been acknowledged. Yet as long as cooperation has existed, so have the difficulties associated with it. Pooling two fields might mean twice the power, but this union also brings twice the jargon, twice the competing theories, and twice the head butting. Nonetheless, in this…
Descriptors: Infants, Correlation, Classification, Age Differences
Pieper, Edward L.; Deshler, Donald D. – 1980
The study involving 60 learning disabled (LD) and 30 normal achieving seventh through ninth graders was designed to identify adolescents homogeneously defined as exhibiting a "specific learning disability in arithmetic" and to determine if the cognitive processes (visual-spatial, visual-reasoning, and visual-memory) are related to the academic…
Descriptors: Academic Achievement, Adolescents, Arithmetic, Classification