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Siegler, Robert S.; Im, Soo-hyun; Schiller, Lauren K.; Tian, Jing; Braithwaite, David W. – Grantee Submission, 2020
Children's failure to reason often leads to their mathematical performance being shaped by spurious associations from problem input and overgeneralization of inapplicable procedures rather than by whether answers and procedures make sense. In particular, imbalanced distributions of problems, particularly in textbooks, lead children to create…
Descriptors: Logical Thinking, Arithmetic, Numbers, Fractions
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Santi, George; Baccaglini-Frank, Anna – PNA, 2015
We shift the view of a special needs student away from the acknowledged view, that is as a student who requires interventions to restore a currently expected functioning behaviour, introducing a new paradigm to frame special needs students' learning of mathematics. We use the theory of objectification and the new paradigm to look at (and…
Descriptors: Mathematics Instruction, Learning Problems, Generalization, Special Needs Students
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Adriaans, Frans; Kager, Rene – Journal of Memory and Language, 2010
Emerging phonotactic knowledge facilitates the development of the mental lexicon, as demonstrated by studies showing that infants use the phonotactic patterns of their native language to extract words from continuous speech. The present study provides a computational account of how infants might induce phonotactics from their immediate language…
Descriptors: Infants, Logical Thinking, Generalization, Speech Communication
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Goldstone, Robert L.; Sakamoto, Yasuaki – Cognitive Psychology, 2003
Four experiments explored participants' understanding of the abstract principles governing computer simulations of complex adaptive systems. Experiments 1, 2, and 3 showed better transfer of abstract principles across simulations that were relatively dissimilar, and that this effect was due to participants who performed relatively poorly on the…
Descriptors: Comprehension, Computer Simulation, Abstract Reasoning, Generalization
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Zwinderman, Aeilko H. – Psychometrika, 1991
A method is suggested to estimate the relationship between a latent trait and one or more manifest predictors without estimating subject parameters. The method, developed for the Rasch model, can be generalized to two-parameter and three-parameter logistic latent trait models. The model is illustrated with simulated and empirical data. (SLD)
Descriptors: Computer Simulation, Equations (Mathematics), Estimation (Mathematics), Generalization
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Fischer, G. H.; Parzer, P. – Psychometrika, 1991
The polytomous unidimensional Rasch model with equidistant scoring (rating scale model) is extended so that two parameters are linearly decomposed into certain basic parameters. A conditional maximum likelihood estimation procedure and a likelihood ratio test are presented in the context of the extended model (linear rating scale model). (SLD)
Descriptors: Change, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)