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Showing 1 to 15 of 19 results Save | Export
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Shany, Michal; Share, David L. – Annals of Dyslexia, 2011
Whereas most English language sub-typing schemes for dyslexia (e.g., Castles & Coltheart, "1993") have focused on reading accuracy for words varying in regularity, such an approach may have limited utility for reading disability sub-typing beyond English in which fluency rather than accuracy is the key discriminator of developmental and individual…
Descriptors: Semitic Languages, Reading Difficulties, Phonological Awareness, Reading Ability
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Armstrong, Patrick Ian; Rounds, James – Career Development Quarterly, 2010
Career assessment methods often include measures of individual differences constructs, such as interests, personality, abilities, and values. Although many researchers have recently called for the development of integrated models, career counseling professionals have long faced the challenge of integrating this information into their practice. The…
Descriptors: Student Interests, Personality, Career Counseling, Individual Differences
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De Pauw, Sarah S. W.; Mervielde, Ivan – Child Psychiatry and Human Development, 2010
The numerous temperament and personality constructs in childhood impede the systematic integration of findings on how these individual differences relate to developmental psychopathology. This paper reviews the main temperament and personality theories and proposes a theoretical taxonomy representing the common structure of both temperament and…
Descriptors: Personality Traits, Antisocial Behavior, Psychopathology, Children
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Hugenberg, Kurt; Young, Steven G.; Bernstein, Michael J.; Sacco, Donald F. – Psychological Review, 2010
The "other-race effect" (ORE), or the finding that same-race faces are better recognized than other-race faces, is one of the best replicated phenomena in face recognition. The current article reviews existing evidence and theory and proposes a new theoretical framework for the ORE, which argues that the effect results from a confluence of social…
Descriptors: Recognition (Psychology), Visual Stimuli, Visual Perception, Human Body
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Ivie, Stan D. – McGill Journal of Education, 2009
What is a learning style? No one seems to know for sure. The language used by learning style theorists is filled with ambiguities. Price (2004) maintains that "learning style is often used as a metaphor for considering the range of individual differences in learning" (p. 681). Is learning style merely a fanciful metaphor or is it the wave of the…
Descriptors: Cognitive Style, Figurative Language, Foreign Countries, Individual Differences
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Feng, Ruizhen; Chen, Hong – English Language Teaching, 2009
Postgraduates' English acquisition is an intriguing but complex process. A lot of factors have contributed to the outcome of a learner's acquisition, among them, motivation and strategy are playing a crucial role. Motivation is the driving force to encourage the learner to learn, while strategy being the techniques or devices for a learner to use…
Descriptors: English (Second Language), Second Language Learning, Learning Motivation, Individual Differences
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Mayor, Julien; Plunkett, Kim – Psychological Review, 2010
We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to…
Descriptors: Generalization, Vocabulary Development, Classification, Language Acquisition
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Johansen, Mark K.; Palmeri, Thomas J. – Cognitive Psychology, 2002
Early theories of categorization assumed that either rules, or prototypes, or exemplars were exclusively used to mentally represent categories of objects. More recently, hybrid theories of categorization have been proposed that variously combine these different forms of category representation. Our research addressed the question of whether there…
Descriptors: Classification, Experiments, Individual Differences, Generalization
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Nosofsky, Robert M.; And Others – Psychological Review, 1994
A rule-plus-exception model (RULEX) of classification learning is proposed. According to RULEX, people learn to classify objects by forming simple logical rules and remembering occasional exceptions to these rules. Because the learning process is stochastic, people will vary in the rules formed and exceptions stored. (SLD)
Descriptors: Classification, Individual Differences, Learning, Logical Thinking
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Gastgeb, Holly Zajac; Strauss, Mark S.; Minshew, Nancy J. – Child Development, 2006
This study examined the effect of exemplar typicality on reaction time and accuracy of categorization. High-functioning children (age 9-12), adolescents (age 13-16), and adults with autism (age 17-48) and matched controls were tested in a category verification procedure. All groups showed improved processing throughout the lifespan for typical and…
Descriptors: Autism, Reaction Time, Classification, Matched Groups
Carnine, Douglas – Phi Delta Kappan, 1990
The doctrine of localized brain functions has strongly influenced many educators. Gerald Edelman's recent research challenges this doctrine by advancing categorization and recategorization as the brain's overriding activities. Instruction that focuses overmuch on similarities is misguided and confusing. Instead, classroom instruction should employ…
Descriptors: Classification, Elementary Education, Individual Differences, Learning Processes
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Tan, E. S.; And Others – Educational and Psychological Measurement, 1995
An optimal unbiased classification rule is proposed based on a longitudinal model for the measurement of change in ability. In general, the rule predicts future level of knowledge by using information about level of knowledge at entrance, its rate of growth, and the amount of within-individual variation. (SLD)
Descriptors: Ability, Change, Classification, Individual Differences
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Bockenholt, Ulf; Bockenholt, Ingo – Psychometrika, 1991
A reparameterization of a latent class model is presented to classify and scale nomial and ordered categorical choice data simultaneously. The model extension represents a nonhomogeneous population as a mixture of homogeneous subpopulations. Simulated data and data from a magazine preference survey of 347 college students illustrate the model.…
Descriptors: Algorithms, Classification, College Students, Computer Simulation
Kyllonen, Patrick C.; Shute, Valerie J. – 1988
Questions concerning individual differences in learning ability may be more precisely addressed in light of an agreed-upon taxonomy of learning skills. Existing taxonomies are reviewed, and their shortcomings are described. A taxonomy is then proposed based on a synthesis of current thought consisting of four dimensions: the forms of knowledge;…
Descriptors: Aptitude Tests, Classification, Cognitive Processes, Cognitive Style
Hall, Keith A.; And Others – 1981
As a means of providing suggestions for improving the quality of the courseware used in computer based education (CBE), this report reviews and evaluates current thought and research on the origins, characteristics, and effectiveness of existing approaches to courseware design. After a brief summary of some of the general problems encountered in…
Descriptors: Classification, Computer Assisted Instruction, Computer Programs, Concept Formation
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