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Simkins, Michael – Technology & Learning, 2008
Robots that can learn new behaviors. Robots that can reproduce themselves. Science fiction? Not anymore. Roboticists at Cornell's Computational Synthesis Lab have developed just such engineered creatures that offer interesting implications for education. The team, headed by Hod Lipson, was intrigued by the question, "How can you get robots to be…
Descriptors: Robotics, Research and Development, Technological Advancement, Scientific Research
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Johnson, Wendy; Segal, Nancy L.; Bouchard, Thomas J., Jr. – Intelligence, 2008
Fluctuating asymmetry (FA) is the non-pathological left-right asymmetry of body traits that are usually left-right symmetrical, such as eye breadths and elbow to wrist lengths in humans, but which can be affected by developmental stressors. It is generally considered throughout biology to be an indicator of developmental instability and thus of…
Descriptors: Intelligence, Twins, Genetics, Brain
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Taub, Gordon E.; Keith, Timothy Z.; Floyd, Randy G.; Mcgrew, Kevin S. – School Psychology Quarterly, 2008
This study investigated the direct and indirect effects of general intelligence and 7 broad cognitive abilities on mathematics achievement. Structural equation modeling was used to investigate the simultaneous effects of both general and broad cognitive abilities on students' mathematics achievement. A hierarchical model of intelligence derived…
Descriptors: Cognitive Ability, Intelligence, Mathematics Achievement, Age Differences
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Loo, Sandra K.; Rich, Erika Carpenter; Ishii, Janeen; McGough, James; McCracken, James; Nelson, Stanley; Smalley, Susan L. – Journal of Child Psychology and Psychiatry, 2008
Background: This paper examines familiality and candidate gene associations of cognitive measures as potential endophenotypes in attention-deficit/hyperactivity disorder (ADHD). Methods: The sample consists of 540 participants, aged 6 to 18, who were diagnosed with ADHD from 251 families recruited for a larger genetic study of ADHD. All members of…
Descriptors: Siblings, Attention Deficit Disorders, Hyperactivity, Genetics
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Antshel, Kevin M.; Faraone, Stephen V.; Maglione, Katherine; Doyle, Alysa; Fried, Ronna; Seidman, Larry; Biederman, Joseph – Journal of the American Academy of Child & Adolescent Psychiatry, 2008
A study was conducted to establish the relationship between Attention-Deficit/Hyperactivity (ADHD) disorder and high-IQ children and whether ADHD has a high predictive value among youths with high-IQ. Results further supported the hypothesis for the predictive validity of ADHD in high-IQ youths.
Descriptors: Hyperactivity, Predictive Validity, Attention Deficit Disorders, Intelligence Quotient
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Kvist, Ann Valentin; Gustafsson, Jan-Eric – Intelligence, 2008
According to Cattell's [Cattell, R.B. (1987). "Intelligence: Its structure, growth and action." New York: North-Holland.] Investment theory individual differences in acquisition of knowledge and skills are partly the result of investment of Fluid Intelligence ("Gf") in learning situations demanding insights in complex…
Descriptors: Intelligence, Cultural Background, Cognitive Ability, Factor Analysis
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Mercado, Eduardo, III – Psychological Bulletin, 2008
Some species and individuals are able to learn cognitive skills more flexibly than others. Learning experiences and cortical function are known to contribute to such differences, but the specific factors that determine an organism's intellectual capacities remain unclear. Here, an integrative framework is presented suggesting that variability in…
Descriptors: Brain, Neurological Impairments, Neurological Organization, Brain Hemisphere Functions
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Cliffordson, Christina; Gustafsson, Jan-Eric – Intelligence, 2008
The effects of age and schooling on different aspects of intellectual performance, taking track of study into account, are investigated. The analyses were based on military enlistment test scores, obtained by 48,269 males, measuring Fluid ability (Gf), Crystallized intelligence (Gc), and General visualization (Gv) ability. A regression method,…
Descriptors: Age Differences, Cognitive Ability, Educational Attainment, Scores
Warren, Heather K.; Denham, Susanne A.; Bassett, Hideko H. – Zero to Three, 2008
The infant and toddler years are a watershed of development in the emotional domain. These skills lay the foundation for positive social interactions, and ultimately, academic and life success. This article describes the development of three skills that are central in creating successful relationships: expressing emotion, understanding emotion,…
Descriptors: Emotional Intelligence, Young Children, Interpersonal Competence, Social Development
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Cassimatis, Nicholas L.; Bello, Paul; Langley, Pat – Cognitive Science, 2008
Computational models will play an important role in our understanding of human higher-order cognition. How can a model's contribution to this goal be evaluated? This article argues that three important aspects of a model of higher-order cognition to evaluate are (a) its ability to reason, solve problems, converse, and learn as well as people do;…
Descriptors: Artificial Intelligence, Cognitive Psychology, Thinking Skills, Computation
Sternberg, Robert J. – Phi Delta Kappan, 2008
The question that Eric Jensen addresses in his article is whether brain research can provide a basis for educational practice. He debates John Bruer, president of the James S. McDonnell Foundation, and argues that brain research can, in fact, provide a basis for what educators do. Most of Jensen's article is devoted to showing ways in which brain…
Descriptors: Educational Practices, Intervention, Brain, Correlation
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Shaw, Keith – British Journal of Educational Technology, 2008
This paper compares and contrasts the use of AI principles in industrial training with more normal computer-based training (CBT) approaches. A number of applications of CBT are illustrated (for example simulations, tutorial presentations, fault diagnosis, management games, industrial relations exercises) and compared with an alternative approach…
Descriptors: Industrial Training, Artificial Intelligence, Computer Assisted Instruction, Computer Simulation
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Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 37 papers dealing…
Descriptors: Educational Technology, Technology Uses in Education, Research and Development, Elementary Education
Merrell, Kenneth W. – B. C. Journal of Special Education, 1987
The concept of intelligence in current models of learning disabilities (medically based, perceptual processing, ability-achievement discrepancy, and alternative viewpoints) is addressed in general terms. Ability-achievement discrepancy models place the most emphasis on intelligence, but focus on intelligence test scores rather than on any…
Descriptors: Cognitive Ability, Cognitive Processes, Intelligence, Intelligence Quotient
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Wozencraft, Marian – Psychological Reports, 1973
Magnitudes of correlations of achievement and IQ within levels of intelligence and between ages for elementary school children show that these factors must be considered in research and evaluation. (Author)
Descriptors: Academic Achievement, Age Differences, Correlation, Elementary Education
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