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Lappalainen, Pia – European Journal of Engineering Education, 2015
Despite the changing global and industrial conditions requiring new approaches to leadership, management training as part of higher engineering education still remains understudied. The subsequent gap in engineering education calls for research on today's leader requirements and pedagogy supporting the inclusion of management competence in higher…
Descriptors: Engineering Education, Intelligence, Personality Traits, Emotional Intelligence
Nisbett, Richard E. – American Educator, 2013
In 1994, America took a giant step backward in understanding intelligence and how it can be cultivated. Richard Herrnstein, a psychology professor at Harvard University, and Charles Murray, a political scientist with the American Enterprise Institute, published "The Bell Curve," a best-selling book that was controversial among…
Descriptors: Intelligence, Genetics, Prenatal Care, Racial Differences
Crepeau-Hobson, Franci; Vujeva, Hana – Communique, 2012
Students with severe and low-incidence disabilities comprise a heterogeneous population that often presents a challenge to the professionals charged with evaluating their skills and abilities. This is especially true in conducting a valid assessment of the cognitive ability of these children. Often, school psychologists are limited to the use of…
Descriptors: Disabilities, Cognitive Ability, Intelligence, Educational Planning
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Meijer, Joost; Veenman, Marcel V. J.; van Hout-Wolters, Bernadette – Research Papers in Education, 2012
Studies about metacognition, intelligence and learning have rendered equivocal results. The mixed model assumes joint as well as independent influences of intelligence and metacognition on learning results. In this study, intelligence was measured by standard tests for reasoning, spatial ability and memory. Participants were 13-year-old school…
Descriptors: Metacognition, Intelligence, Learning, Intelligence Tests
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Schalock, Robert L. – Journal of Intellectual & Developmental Disability, 2011
This article addresses two major areas concerned with the evolving understanding of the construct of intellectual disability. The first part of the article discusses current answers to five critical questions that have revolved around the general question, "What is Intellectual Disability?" These five are what to call the phenomenon, how to…
Descriptors: Intelligence, Mental Retardation, Public Policy, Disabilities
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Major, Jason T.; Johnson, Wendy; Bouchard, Thomas J., Jr. – Intelligence, 2011
Floyd, Shands, Rafael, Bergeron and McGrew (2009) used generalizability theory to test the reliability of general-factor loadings and to compare three different sources of error in them: the test battery size, the test battery composition, the factor-extraction technique, and their interactions. They found that their general-factor loadings were…
Descriptors: Generalizability Theory, Intelligence, Intelligence Tests, Twins
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Murray, Catherine; Pattie, Alison; Starr, John M.; Deary, Ian J. – Intelligence, 2012
To test whether cognitive ability predicts survival from age 79 to 89 years data were collected from 543 (230 male) participants who entered the study at a mean age of 79.1 years. Most had taken the Moray House Test of general intelligence (MHT) when aged 11 and 79 years from which, in addition to intelligence measures at these two time points,…
Descriptors: Intelligence, Health Conditions, Older Adults, Memory
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Chooi, Weng-Tink; Thompson, Lee A. – Intelligence, 2012
Jaeggi and her colleagues claimed that they were able to improve fluid intelligence by training working memory. Subjects who trained their working memory on a dual n-back task for a period of time showed significant improvements in working memory span tasks and fluid intelligence tests such as the Raven's Progressive Matrices and the Bochumer…
Descriptors: Intelligence Tests, Cognitive Ability, Intelligence, Control Groups
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Ruiz, Maria Jose; Bermejo, Rosario; Ferrando, Mercedes; Prieto, Maria Dolores; Sainz, Marta – Electronic Journal of Research in Educational Psychology, 2014
Introduction: Academic performance is usually generally explained by student's intelligence, although other factors such as personality and motivation also account for it. Factors associated with a more complex thought process in adolescence are also beginning to gain importance in the prediction of academic performance. Among these forms of…
Descriptors: Intelligence, Creative Thinking, Regression (Statistics), Academic Achievement
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Parkin, Jason R.; Beaujean, A. Alexander – Journal of School Psychology, 2012
This study used structural equation modeling to examine the effect of Stratum III (i.e., general intelligence) and Stratum II (i.e., Comprehension-Knowledge, Fluid Reasoning, Short-Term Memory, Processing Speed, and Visual Processing) factors of the Cattell-Horn-Carroll (CHC) cognitive abilities, as operationalized by the Wechsler Intelligence…
Descriptors: Intelligence, Structural Equation Models, Achievement Tests, Measures (Individuals)
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Gralewski, Jacek; Karwowski, Maciej – Thinking Skills and Creativity, 2012
The goal of this study was to describe the relationship between the creative abilities and the school grades of high school students in Poland. Almost six hundred (N = 589) students from 34 high schools from all over Poland participated in the study. Their creative abilities were measured by using the Test of Creative Thinking-Drawing Production…
Descriptors: Foreign Countries, Academic Achievement, Intelligence, Grade Point Average
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Harper-Hill, Keely; Copland, David; Arnott, Wendy – Research in Autism Spectrum Disorders, 2013
The primary aim of this paper was to investigate heterogeneity in language abilities of children with a confirmed diagnosis of an ASD (N = 20) and children with typical development (TD; N = 15). Group comparisons revealed no differences between ASD and TD participants on standard clinical assessments of language ability, reading ability or…
Descriptors: Identification, Language Aptitude, Autism, Language Impairments
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Rozencwajg, Paulette; Fenouillet, Fabien – Learning and Individual Differences, 2012
In this experiment we studied the effect of goal setting on the strategies used to perform a block design task called SAMUEL. SAMUEL can measure many indicators, which are then combined to determine the strategies used by participants when solving SAMUEL problems. Two experimental groups were created: one group was given an explicit, difficult…
Descriptors: Experimental Groups, Intelligence, Instructional Design, Goal Orientation
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Ward, Kimberly E.; Rothlisberg, Barbara A.; McIntosh, David E.; Bradley, Madeline H. – Psychology in the Schools, 2011
The purpose of this study was to examine the factor structure of the Stanford-Binet Intelligence Scales, Fifth Edition (SB-V), based on the Cattell-Horn-Carroll (CHC) theory of intelligence using a sample of 200 preschool children. The CHC framework uses three different models: one similar to Spearman's "g", one similar to the…
Descriptors: Preschool Children, Intelligence Tests, Factor Structure, Cognitive Ability
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Rindermann, Heiner; Ceci, Stephen J. – Journal for the Education of the Gifted, 2018
In 19 (sub)samples from seven countries (United States, Austria, Germany, Costa Rica, Ecuador, Vietnam, Brazil), we analyzed the impact of parental education compared with wealth on the cognitive ability of children (aged 4-22 years, total N = 15,297). The background of their families ranged from poor indigenous remote villagers to academic…
Descriptors: Parent Background, Educational Attainment, Parent Child Relationship, Intelligence
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