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Bennane, Abdellah – Informatics in Education, 2013
The introduction of the intelligence in teaching software is the object of this paper. In software elaboration process, one uses some learning techniques in order to adapt the teaching software to characteristics of student. Generally, one uses the artificial intelligence techniques like reinforcement learning, Bayesian network in order to adapt…
Descriptors: Computer Software, Educational Technology, Artificial Intelligence, Reinforcement
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Wass, Christopher; Pizzo, Alessandro; Sauce, Bruno; Kawasumi, Yushi; Sturzoiu, Tudor; Ree, Fred; Otto, Tim; Matzel, Louis D. – Learning & Memory, 2013
A common source of variance (i.e., "general intelligence") underlies an individual's performance across diverse tests of cognitive ability, and evidence indicates that the processing efficacy of working memory may serve as one such source of common variance. One component of working memory, selective attention, has been reported to…
Descriptors: Metabolism, Brain, Cognitive Ability, Brain Hemisphere Functions
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Falck-Ytter, Terje; von Hofsten, Claes; Gillberg, Christopher; Fernell, Elisabeth – Journal of Autism and Developmental Disorders, 2013
Looking at other children's interactions provides rich learning opportunities for a small child. How children with autism look at other children is largely unknown. Using eye tracking, we studied gaze performance in children with autism and neurotypical comparison children while they were watching videos of semi-naturalistic social…
Descriptors: Interaction, Comparative Analysis, Autism, Eye Movements
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Stainthorp, Rhona; Powell, Daisy; Stuart, Morag – Journal of Research in Reading, 2013
A study of the concurrent relationships between naming speed, phonological awareness and spelling ability in 146 children in Years 3 and 4 of state-funded schools in South-East England (equivalent to US Grades 2 and 3) is reported. Seventy-two children identified as having normal phonological awareness but reduced rapid automatised naming (RAN)…
Descriptors: Foreign Countries, Naming, Spelling, English
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Miele, David B.; Son, Lisa K.; Metcalfe, Janet – Child Development, 2013
Recent studies have shown that the metacognitive judgments adults infer from their experiences of encoding effort vary in accordance with their naive theories of intelligence. To determine whether this finding extends to elementary schoolchildren, a study was conducted in which 27 third graders (M[subscript age] = 8.27) and 24 fifth graders…
Descriptors: Metacognition, Evaluative Thinking, Intelligence, Elementary School Students
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Dodonova, Yulia A.; Dodonov, Yury S. – Intelligence, 2013
Using more complex items than those commonly employed within the information-processing approach, but still easier than those used in intelligence tests, this study analyzed how the association between processing speed and accuracy level changes as the difficulty of the items increases. The study involved measuring cognitive ability using Raven's…
Descriptors: Difficulty Level, Intelligence Tests, Cognitive Ability, Accuracy
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Dombrowski, Stefan C. – School Psychology Quarterly, 2013
During its development, the Woodcock-Johnson, Third Edition Cognitive (WJ-III Cognitive; McGrew & Woodcock, 2001) was never subjected to structural analysis using exploratory and higher order factor analyses. Instead, confirmatory factor analyses were conducted on separate sets of WJ-III correlation matrices, yielding a seven-factor model…
Descriptors: Cognitive Tests, Factor Analysis, Factor Structure, Theories
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Bergeron, Renee; Floyd, Randy G. – School Psychology Review, 2013
This study examined the group- and individual-level part score profiles of children with intellectual disability (ID) who participated in clinical validity studies supporting three individually administered intelligence tests. Across tests, children with ID produced group-level profiles comprising mean part scores that fell in the Low to Very Low…
Descriptors: Intelligence Tests, Mental Retardation, Profiles, Validity
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Yeniad, Nihal; Malda, Maike; Mesman, Judi; van IJzendoorn, Marinus H.; Pieper, Suzanne – Learning and Individual Differences, 2013
Empirical evidence on the association between the shifting component of executive functioning and academic performance is equivocal. In two meta-analyses children's shifting ability is examined in relation to their performance in math (k = 18, N = 2330) and reading (k = 16, N = 2266). Shifting ability was significantly and equally associated with…
Descriptors: Academic Achievement, Intelligence, Reading Skills, Mathematics Skills
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Aljunied, Mariam; Frederickson, Norah – Autism: The International Journal of Research and Practice, 2013
Central coherence refers to an in-built propensity to form meaningful links over a wide range of stimuli and to generalize over as wide a range of contexts as possible. In children with autism this ability is diminished, and the impact of central coherence deficits in children with autism have previously been observed using static measures of…
Descriptors: Autism, Children, Generalization, Cognitive Ability
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Claeys, Joseph – Journal of Psychoeducational Assessment, 2013
The practice of individual assessment has been moving toward the empirically derived Cattell-Horn-Carroll (CHC) theory of intellectual ability, which offers a hierarchical taxonomy of cognitive abilities. Current assessment tools provide varying adherence to operationalizing CHC theory, making clinical inference difficult. Expert consensus…
Descriptors: Inferences, Intelligence Tests, Theories, Cognitive Ability
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Shipstead, Zach; Engle, Randall W. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
One approach to understanding working memory (WM) holds that individual differences in WM capacity arise from the amount of information a person can store in WM over short periods of time. This view is especially prevalent in WM research conducted with the visual arrays task. Within this tradition, many researchers have concluded that the average…
Descriptors: Maintenance, Short Term Memory, Long Term Memory, Interference (Learning)
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Lee, Chwee Beng – Asia-Pacific Education Researcher, 2013
In this study, we examine intentional knowing through the lens of metacognition. Learners are not just active in their construction of meaning, but they can also be intentional. This would mean that they are cognitively engaged in the learning process, monitoring and regulating their learning. To learn intentionally, students must consciously…
Descriptors: Secondary School Students, Metacognition, Prediction, Age Differences
Galatas, Georgios – ProQuest LLC, 2013
An Ambient Intelligence Environment is meant to sense and respond to the presence of people, using its embedded technology. In order to effectively sense the activities and intentions of its inhabitants, such an environment needs to utilize information captured from multiple sensors and modalities. By doing so, the interaction becomes more natural…
Descriptors: Speech, Robotics, Artificial Intelligence, Environment
Ibanez, Natalia – Online Submission, 2013
Each year in the fall and spring semesters, the Peabody Picture Vocabulary Test and the Test de Vocabulario en Imágenes are administered to a sample of pre-K students in AISD. The following report provides Fall 2013 results for each vertical team of schools.
Descriptors: Vocabulary, Intelligence Tests, Verbal Ability, Test Results
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