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Hopkins, Thomas; Clegg, Judy; Stackhouse, Joy – International Journal of Language & Communication Disorders, 2018
Background: A high prevalence of Developmental Language Disorder (DLD) is reported in the population of Young Offenders (YO). However, little is known about the extent of the association between language and offending behaviour relative to social disadvantage, education attendance and non-verbal intelligence (IQ), and neither has this association…
Descriptors: Disadvantaged Youth, Delinquency, Juvenile Justice, Expository Writing
Harpalani, Vinay – Penn GSE Perspectives on Urban Education, 2017
This article examines how racial stereotypes affect achievement and identity formation among low income, urban Black adolescents. Specifically, the major question addressed is: how do high-achieving Black students succeed academically despite negative stereotypes of their intellectual abilities? Results indicate that high-achieving Black youth,…
Descriptors: African American Students, High Achievement, Ethnic Stereotypes, Identification (Psychology)
Rani, M. Usha; Prakash, Srinivasan – Journal on Educational Psychology, 2015
Intelligence involves the ability to think, solve problems, analyze situations, and understand social values, customs, and norms. Intelligence is a general mental capability that involves the ability to reason, plan, think abstractly, comprehend ideas and language, and learn. Intellectual ability involves comprehension, understanding, and learning…
Descriptors: Intelligence, Intelligence Differences, High School Students, Intellectual Disciplines
Berková, Katerina; Krejcová, Kristýna – Journal on Efficiency and Responsibility in Education and Science, 2016
Intelligence and motivation are two crucial components of the education process that can significantly influence its efficiency. The level of intelligence determines our ability to learn from experience and to solve a problem successfully, whereas motivational processes energize and organize our behavior to reach our goals. This paper is connected…
Descriptors: Student Motivation, Economics Education, Intelligence Differences, Expertise
Baker, Marshall A.; Robinson, J. Shane – Journal of Agricultural Education, 2017
Student motivation is often an overlooked product of classroom instruction. Researchers have repeatedly called for broader measures to adequately assess and understand the effects of various instructional methods. This study sought to determine the effects of an experiential approach to learning on student motivation, as defined by Keller's (1987)…
Descriptors: Student Motivation, Experiential Learning, Teaching Methods, Outcome Measures
Paek, Sue Hyeon; Abdulla, Ahmed M.; Cramond, Bonnie – Gifted Child Quarterly, 2016
There is a long-standing controversy over the relationship between psychopathology and creativity. Yet there is a lack of evidence regarding the relationship between common psychopathologies and indicators of little-c, or every day, creativity among laypeople. To make sense of this connection, we conducted a meta-analysis using 89 studies to…
Descriptors: Meta Analysis, Psychopathology, Attention Deficit Hyperactivity Disorder, Anxiety Disorders
Ting, Victoria; Weiss, Jonathan A. – Journal of Autism and Developmental Disorders, 2017
Children with autism spectrum disorder (ASD) often exhibit emotional problems, which can be associated with emotion regulation (ER) difficulties. Parent co-regulation is often associated with child ER and emotional problems, though little work has been done with reference to youth with ASD. This study investigated the association among parent…
Descriptors: Pervasive Developmental Disorders, Autism, Emotional Problems, Self Control
Lynn, Richard – Intelligence, 2012
National IQs and measures of technological development given by Comin, Easterly and Gong (2010) are presented for 133 nations for the year 1000 BC, for 134 nations for 0 AD, for 120 nations for 1500 AD and for 133 nations for 2000 AD. It is shown that national IQs are significantly correlated with national differences in technological development…
Descriptors: Technological Advancement, Intelligence Quotient, Prediction, Correlation
Bulut Serin, Nergüz; Pehlivan, Ahmet; Serin, Oguz; Sahin, Sülen; Saygili, Gizem – Online Submission, 2012
The aim of this research is to analyse relationship between intelligence areas and problem solving skills of the students of Faculty of Education according to multiple intelligences theory of Gardner. Research sample is composed of 311 (64.3% female, 35.7% male) students who attended the Faculty of Education. Research data has been collected…
Descriptors: Problem Solving, Multiple Intelligences, Preservice Teachers, Gender Differences
Ferrier, Jonathan; Horne, Joanna; Singleton, Chris – Journal of Research in Special Educational Needs, 2013
Factors affecting the free writing speed of 11-year-old students were investigated using the Group and Individual Assessment of Handwriting Speed. Intelligence, gender, legibility and whether the student has special educational needs or speaks English as an additional language were all found to impact on writing speed to a significant extent. In…
Descriptors: Foreign Countries, Preadolescents, Secondary School Students, Intelligence Differences
Weissberg, Robert – Journal of School Choice, 2012
This article presents the author's response to Robert Maranto's review of "Bad Students, Not Bad Schools". The author begins by thanking Professor Maranto for his thoughtful review of his "Bad Students, Not Bad Schools" (2010). Professor Maranto is the first professional educator to acknowledge the book's existence, a fact that says much about…
Descriptors: Reader Response, Intelligence Quotient, Intelligence Differences, Group Behavior
Akpan, Godwin A.; Essien, Emmanuel O.; Okure, Okure S. – International Education Studies, 2013
Individual differences refer to the unique ways each human being differs from another human being as expressed in behaviour or perceived in the physical appearance. Three factors of individual differences identified to be closely related to learning/acquisition of skills and performance of tasks. These are personality dimensions, self-efficacy and…
Descriptors: Curriculum Implementation, Technical Education, Individual Differences, Personality Traits
Templer, Donald I. – Intelligence, 2012
The present study was intended to provide perspective, albeit less than unequivocal, on the research of Lynn (2010) who reported higher IQs in the northern than southern Italian regions. He attributes this to northern Italians having a greater genetic similarity to middle Europeans and southern Italians to Mediterranean people. Higher regional IQ…
Descriptors: Multiple Intelligences, Schizophrenia, Intelligence Quotient, Genetics
Dodonov, Yury S.; Dodonova, Yulia A. – Intelligence, 2012
In the present study, speeded tasks with differing assumed difficulties of the trials are regarded as a special class of simple cognitive tasks. Exploratory latent growth modeling with data-driven shape of a growth curve and nonlinear structured latent curve modeling with predetermined monotonically increasing functions were used to analyze…
Descriptors: Intelligence, Intervals, Reaction Time, Cognitive Ability
Oesterdiekhoff, Georg W. – Intelligence, 2012
The essay integrates the psychometric intelligence approach with the cognitive-developmental approach or the stage theory erected by Piaget and his disciples. The latter led to Piagetian Cross-Cultural Psychology and the accumulation of an immense body of data. It shows that different IQ levels are indicative of the peculiar stages of cognitive…
Descriptors: Educational Philosophy, Anthropology, Intelligence Quotient, Personality

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